From 530487ded876edd67516b7769c770a8924fb3e60 Mon Sep 17 00:00:00 2001
From: plwapet <lavoisierwapet@gmail.com>
Date: Tue, 6 Dec 2022 20:49:04 +0100
Subject: [PATCH] after adding the code to compute transitions

---
 ...son_learned_validation_code.cpython-38.pyc |  Bin 45292 -> 45477 bytes
 .../best_R2_exploration_summary.csv           |   10 +
 kernel_ridge_linear_model/kernel_ridge.py     |   25 +-
 .../lesson_learned_validation_code.py         |   48 +-
 ...ile_compute_static_score_for_the_paper.txt | 2231 ++++++++++++-----
 ....linear_coeff_vs_kernel_ridge_margins.csv# |    2 +-
 .../.~lock.static_score_plot.png.csv#         |    2 +-
 7 files changed, 1701 insertions(+), 617 deletions(-)

diff --git a/kernel_ridge_linear_model/__pycache__/lesson_learned_validation_code.cpython-38.pyc b/kernel_ridge_linear_model/__pycache__/lesson_learned_validation_code.cpython-38.pyc
index 8eb915a24668cfa3608989a9e14da418a8b84a6f..1d81bcf68fa80b877d2d89da8c970ca735c10c83 100755
GIT binary patch
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diff --git a/kernel_ridge_linear_model/best_R2_exploration_summary.csv b/kernel_ridge_linear_model/best_R2_exploration_summary.csv
index da0f1b7..1fe7888 100755
--- a/kernel_ridge_linear_model/best_R2_exploration_summary.csv
+++ b/kernel_ridge_linear_model/best_R2_exploration_summary.csv
@@ -495,3 +495,13 @@ google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,Fals
 google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.8999417647627684,10,10,base_Y,
 google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.8999417647627684,10,10,base_Y,
 google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.8999417647627684,10,10,base_Y,
+google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.8999417647627684,10,10,base_Y,
+google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.8999417647627684,10,10,base_Y,
+google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.8999417647627684,10,10,base_Y,
+google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.8999417647627684,10,10,base_Y,
+google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.8999417647627684,10,10,base_Y,
+google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.8999417647627684,10,10,base_Y,
+google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.8999417647627684,10,10,base_Y,
+google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.8999417647627684,10,10,base_Y,
+google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.8999417647627684,10,10,base_Y,
+google_pixel_4a_5g,google_pixel_4a_5g_format,False,False,1000,0.01000000099,False,----,0,1000000000.0,1000000000.0,1e-09,1000,0.1,100,False,0.8999417647627684,10,10,base_Y,
diff --git a/kernel_ridge_linear_model/kernel_ridge.py b/kernel_ridge_linear_model/kernel_ridge.py
index 67a2d56..63ad313 100755
--- a/kernel_ridge_linear_model/kernel_ridge.py
+++ b/kernel_ridge_linear_model/kernel_ridge.py
@@ -1078,8 +1078,20 @@ if compute_marginal_effect:
 
 
 
-
-
+def column(matrix, i):
+    result = []
+    for row in matrix: 
+        print(" --- First column of the row ", row[i])
+        result.append(row[i])
+    return result
+def special_sum(my_list):
+    # This function is to avoid None values entry when computing the sum of an array 
+    result = 0
+    for i in my_list: 
+        print(" --- Computing special sum and adding value ", i)
+        if i is not None:
+            result = result + i
+    return result
 
 if process_database:
     
@@ -1105,14 +1117,15 @@ if process_database:
         avg_margin_global_table.append(avg_margin_table)
         avg_margin_table_dynamic_score = utils_for_validation.validate_lesson_learned(marginal_effect_exploration_folder, avg_marginal_score_table = avg_marginal_score_table)      
         avg_margin_global_dynamic_score_table.append(avg_margin_table_dynamic_score)
-        print("--- Interaction table and validation scores of variable " + str(i), avg_margin_table_dynamic_score )
+        print("--- Interaction table and validation scores of variable " + str(i) + ": ", avg_margin_table_dynamic_score )
         for L_entry in avg_margin_table_dynamic_score:
             score_and_transitions_list = L_entry[2]
-            dynamic_score_list.append(score_and_transitions_list[0])
+            print("--- Only scores and transitions, just to verify : ", score_and_transitions_list) 
+            dynamic_score_list.append(column(score_and_transitions_list,0))
             number_of_dynamic_scores = number_of_dynamic_scores + len(score_and_transitions_list)
-            total_of_dynamic_scores = total_of_dynamic_scores + sum(score_and_transitions_list[:0])  # because score_and_transitions_list is a matrice N_Lvalue * 3  (3 for score , positive_transition, negative_transition)
+            total_of_dynamic_scores = total_of_dynamic_scores + special_sum(column(score_and_transitions_list,0))  # because score_and_transitions_list is a matrice N_Lvalue * 3  (3 for score , positive_transition, negative_transition)
     print("--- Scores of all interactions", avg_margin_global_dynamic_score_table) 
-    print("--- Dynamic scores only : ", score_and_transitions_list )
+    print("--- Dynamic scores only : ", dynamic_score_list )
     print("--- Final_score : ", total_of_dynamic_scores/number_of_dynamic_scores )
 
 
diff --git a/kernel_ridge_linear_model/lesson_learned_validation_code.py b/kernel_ridge_linear_model/lesson_learned_validation_code.py
index bbb4ce8..731172f 100755
--- a/kernel_ridge_linear_model/lesson_learned_validation_code.py
+++ b/kernel_ridge_linear_model/lesson_learned_validation_code.py
@@ -146,7 +146,7 @@ def  generate_increments_couples(possible_values):
         print ("Error! cannot find transitions couples of arrays containing one element")
     for i in range(0,len(possible_values) -1 ):
         result.append([possible_values[i], possible_values[i+1] ])
-
+        print("--- Computing increment couple on possible values; result ", result)
     return result
 
 
@@ -171,28 +171,34 @@ def validate_fitsAll_interaction_table(conn, cibled_column, possible_values, sec
 
 def validate_fitsAll_advice(conn, cibled_column, possible_values, secondary_column, L_value, avg_marginal_score):
     print("--- Evaluating FitsAll advice for cibled column " + cibled_column + " and secondary column " + secondary_column + " having value ", L_value)
-    if (secondary_column == cibled_column): 
-        return 0
+    
     J_increment_couples = generate_increments_couples(possible_values)
-    positive_variations = []
-    negative_variations = []
+    positive_differences = []
+    negative_differences = []
     for couple in J_increment_couples:
         J_initial_value = couple[0]
         J_final_value = couple[1]
-        variation = validate_fitsAll_increment (conn, cibled_column, J_initial_value, J_final_value, secondary_column, L_value)
-        if variation > 0:
-            positive_variations.append([J_initial_value, J_final_value, variation])
-        else: 
-            negative_variations.append([J_initial_value, J_final_value, variation])
+        difference = validate_fitsAll_increment (conn, cibled_column, J_initial_value, J_final_value, secondary_column, L_value)
+        if difference is not None:      
+            if difference < 0:
+                negative_differences.append([J_initial_value, J_final_value, difference])
+            else: 
+                positive_differences.append([J_initial_value, J_final_value, difference])
+               
     
-    if avg_marginal_score < 0:
-        fitsAll_dynamic_score = len(negative_variations)/len(J_increment_couples) * 100
+    number_of_computed_differences = (len(negative_differences) + len(positive_differences)) # we only consider computed differences, we don't count cases where the increment was impossible. 
+    fitsAll_dynamic_score = None
+    if number_of_computed_differences > 0:
+        if avg_marginal_score < 0:
+            fitsAll_dynamic_score = len(negative_differences)/number_of_computed_differences * 100
+        else: 
+            fitsAll_dynamic_score = len(positive_differences)/number_of_computed_differences * 100
     else: 
-        fitsAll_dynamic_score = len(positive_variations)/len(J_increment_couples) * 100
-    print("--- Positive variations ", positive_variations)
-    print("--- Negative variations ", negative_variations)
+        fitsAll_dynamic_score = None
+    print("--- Positive differences ", positive_differences)
+    print("--- Negative differences ", negative_differences)
     print("--- Fitstall dynamic score on this advice ", fitsAll_dynamic_score)
-    return [fitsAll_dynamic_score, [negative_variations], [positive_variations]]
+    return [fitsAll_dynamic_score, negative_differences, positive_differences]
 
 
 def validate_fitsAll_increment(conn, cibled_column, J_initial_value, J_final_value, secondary_column, L_value):
@@ -286,14 +292,16 @@ def validate_fitsAll_increment(conn, cibled_column, J_initial_value, J_final_val
 
 
     cursor = conn.execute(command)
-    variation = 0
+    difference = 0
     for row in cursor:
         print("before = ", row[0])
         print("after = ", row[1])
-        print("variation ", row[1] - row[0])
-        variation =  row[1] - row[0]
+        if  row[0] is None or row[1] is None:
+            return None
+        print("difference ", row[1] - row[0])
+        difference =  row[1] - row[0]
 
-    return variation
+    return difference
 
 
 
diff --git a/kernel_ridge_linear_model/log_file_compute_static_score_for_the_paper.txt b/kernel_ridge_linear_model/log_file_compute_static_score_for_the_paper.txt
index 5832dcc..21b36f1 100755
--- a/kernel_ridge_linear_model/log_file_compute_static_score_for_the_paper.txt
+++ b/kernel_ridge_linear_model/log_file_compute_static_score_for_the_paper.txt
@@ -220719,218 +220719,335 @@ paper font size  = 28
 --- Validating lesson learned:
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  0
 before =  11087950605.05849
 after =  11990688915.613588
-variation  902738310.5550976
---- Positive variations  [['0', '1', 902738310.5550976]]
---- Negative variations  []
+difference  902738310.5550976
+--- Positive differences  [['0', '1', 902738310.5550976]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  1
 before =  13126498967.509703
 after =  13332178324.048183
-variation  205679356.53848076
---- Positive variations  [['0', '1', 205679356.53848076]]
---- Negative variations  []
+difference  205679356.53848076
+--- Positive differences  [['0', '1', 205679356.53848076]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  2
 before =  13042342430.798382
 after =  13189434501.150463
-variation  147092070.3520813
---- Positive variations  [['0', '1', 147092070.3520813]]
---- Negative variations  []
+difference  147092070.3520813
+--- Positive differences  [['0', '1', 147092070.3520813]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  0
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  0
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  1
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  1
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  0
 before =  11698973734.211468
 after =  12174865899.451677
-variation  475892165.2402096
---- Positive variations  [['0', '1', 475892165.2402096]]
---- Negative variations  []
+difference  475892165.2402096
+--- Positive differences  [['0', '1', 475892165.2402096]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  1
 before =  12446253743.514301
 after =  13267466490.720062
-variation  821212747.205761
---- Positive variations  [['0', '1', 821212747.205761]]
---- Negative variations  []
+difference  821212747.205761
+--- Positive differences  [['0', '1', 821212747.205761]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  0
 before =  11623377997.722189
 after =  11860241451.114325
-variation  236863453.39213562
---- Positive variations  [['0', '1', 236863453.39213562]]
---- Negative variations  []
+difference  236863453.39213562
+--- Positive differences  [['0', '1', 236863453.39213562]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  1
 before =  12510395580.535353
 after =  13474911995.138273
-variation  964516414.6029205
---- Positive variations  [['0', '1', 964516414.6029205]]
---- Negative variations  []
+difference  964516414.6029205
+--- Positive differences  [['0', '1', 964516414.6029205]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  0
 before =  11891373485.372152
 after =  12008766909.909374
-variation  117393424.53722191
---- Positive variations  [['0', '1', 117393424.53722191]]
---- Negative variations  []
+difference  117393424.53722191
+--- Positive differences  [['0', '1', 117393424.53722191]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  1
 before =  12260626499.263239
 after =  13659222342.401014
-variation  1398595843.1377754
---- Positive variations  [['0', '1', 1398595843.1377754]]
---- Negative variations  []
+difference  1398595843.1377754
+--- Positive differences  [['0', '1', 1398595843.1377754]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  0
 before =  11133123486.140352
 after =  11800334090.949497
-variation  667210604.809145
---- Positive variations  [['0', '1', 667210604.809145]]
---- Negative variations  []
+difference  667210604.809145
+--- Positive differences  [['0', '1', 667210604.809145]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  1
 before =  12823897927.264296
 after =  13443074530.267462
-variation  619176603.0031662
---- Positive variations  [['0', '1', 619176603.0031662]]
---- Negative variations  []
+difference  619176603.0031662
+--- Positive differences  [['0', '1', 619176603.0031662]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  0
 before =  11077584716.284204
 after =  11277887982.770802
-variation  200303266.48659706
---- Positive variations  [['0', '1', 200303266.48659706]]
---- Negative variations  []
+difference  200303266.48659706
+--- Positive differences  [['0', '1', 200303266.48659706]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  1
 before =  13032740041.301662
 after =  13466093714.884789
-variation  433353673.58312607
---- Positive variations  [['0', '1', 433353673.58312607]]
---- Negative variations  []
+difference  433353673.58312607
+--- Positive differences  [['0', '1', 433353673.58312607]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  0
 before =  9914879878.608921
 after =  9792238556.458897
-variation  -122641322.15002441
---- Positive variations  []
---- Negative variations  [['0', '1', -122641322.15002441]]
+difference  -122641322.15002441
+--- Positive differences  []
+--- Negative differences  [['0', '1', -122641322.15002441]]
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  1
 before =  10826437668.80332
 after =  13149307813.709753
-variation  2322870144.906433
---- Positive variations  [['0', '1', 2322870144.906433]]
---- Negative variations  []
+difference  2322870144.906433
+--- Positive differences  [['0', '1', 2322870144.906433]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  2
 before =  13319503717.355555
 after =  14169460801.402496
-variation  849957084.0469418
---- Positive variations  [['0', '1', 849957084.0469418]]
---- Negative variations  []
+difference  849957084.0469418
+--- Positive differences  [['0', '1', 849957084.0469418]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  3
 before =  12183785427.858591
 after =  13672498802.156504
-variation  1488713374.2979126
---- Positive variations  [['0', '1', 1488713374.2979126]]
---- Negative variations  []
+difference  1488713374.2979126
+--- Positive differences  [['0', '1', 1488713374.2979126]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  0
 before =  10103548780.723028
 after =  11013078797.37676
-variation  909530016.6537323
---- Positive variations  [['0', '1', 909530016.6537323]]
---- Negative variations  []
+difference  909530016.6537323
+--- Positive differences  [['0', '1', 909530016.6537323]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  1
 before =  12709730385.6615
 after =  14281173154.23472
-variation  1571442768.5732193
---- Positive variations  [['0', '1', 1571442768.5732193]]
---- Negative variations  []
+difference  1571442768.5732193
+--- Positive differences  [['0', '1', 1571442768.5732193]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  2
 before =  13588997216.553598
 after =  13749290391.280407
-variation  160293174.72680855
---- Positive variations  [['0', '1', 160293174.72680855]]
---- Negative variations  []
+difference  160293174.72680855
+--- Positive differences  [['0', '1', 160293174.72680855]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  3
 before =  12885977131.472908
 after =  13630190086.0944
-variation  744212954.6214924
---- Positive variations  [['0', '1', 744212954.6214924]]
---- Negative variations  []
+difference  744212954.6214924
+--- Positive differences  [['0', '1', 744212954.6214924]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  0.0
-Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
---- Interaction table and validation scores of variable 0 [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
+Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Interaction table and validation scores of variable 0:  [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[None, [], []], [None, [], []]]
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- Computing special sum and adding value  None
+ --- Computing special sum and adding value  None
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  0.0
 --- In function plot_marginal_interactions : plotting d_X_1 with regard to X_0, X_1, X_2, ... X_8
  --- Checking value  1
  --- Retained values  []
@@ -230630,218 +230747,335 @@ Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282
 --- Validating lesson learned:
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  0
 before =  11087950605.05849
 after =  11990688915.613588
-variation  902738310.5550976
---- Positive variations  [['0', '1', 902738310.5550976]]
---- Negative variations  []
+difference  902738310.5550976
+--- Positive differences  [['0', '1', 902738310.5550976]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  1
 before =  13126498967.509703
 after =  13332178324.048183
-variation  205679356.53848076
---- Positive variations  [['0', '1', 205679356.53848076]]
---- Negative variations  []
+difference  205679356.53848076
+--- Positive differences  [['0', '1', 205679356.53848076]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  2
 before =  13042342430.798382
 after =  13189434501.150463
-variation  147092070.3520813
---- Positive variations  [['0', '1', 147092070.3520813]]
---- Negative variations  []
+difference  147092070.3520813
+--- Positive differences  [['0', '1', 147092070.3520813]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  0
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  0
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  1
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  1
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  0
 before =  11698973734.211468
 after =  12174865899.451677
-variation  475892165.2402096
---- Positive variations  [['0', '1', 475892165.2402096]]
---- Negative variations  []
+difference  475892165.2402096
+--- Positive differences  [['0', '1', 475892165.2402096]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  1
 before =  12446253743.514301
 after =  13267466490.720062
-variation  821212747.205761
---- Positive variations  [['0', '1', 821212747.205761]]
---- Negative variations  []
+difference  821212747.205761
+--- Positive differences  [['0', '1', 821212747.205761]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  0
 before =  11623377997.722189
 after =  11860241451.114325
-variation  236863453.39213562
---- Positive variations  [['0', '1', 236863453.39213562]]
---- Negative variations  []
+difference  236863453.39213562
+--- Positive differences  [['0', '1', 236863453.39213562]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  1
 before =  12510395580.535353
 after =  13474911995.138273
-variation  964516414.6029205
---- Positive variations  [['0', '1', 964516414.6029205]]
---- Negative variations  []
+difference  964516414.6029205
+--- Positive differences  [['0', '1', 964516414.6029205]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  0
 before =  11891373485.372152
 after =  12008766909.909374
-variation  117393424.53722191
---- Positive variations  [['0', '1', 117393424.53722191]]
---- Negative variations  []
+difference  117393424.53722191
+--- Positive differences  [['0', '1', 117393424.53722191]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  1
 before =  12260626499.263239
 after =  13659222342.401014
-variation  1398595843.1377754
---- Positive variations  [['0', '1', 1398595843.1377754]]
---- Negative variations  []
+difference  1398595843.1377754
+--- Positive differences  [['0', '1', 1398595843.1377754]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  0
 before =  11133123486.140352
 after =  11800334090.949497
-variation  667210604.809145
---- Positive variations  [['0', '1', 667210604.809145]]
---- Negative variations  []
+difference  667210604.809145
+--- Positive differences  [['0', '1', 667210604.809145]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  1
 before =  12823897927.264296
 after =  13443074530.267462
-variation  619176603.0031662
---- Positive variations  [['0', '1', 619176603.0031662]]
---- Negative variations  []
+difference  619176603.0031662
+--- Positive differences  [['0', '1', 619176603.0031662]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  0
 before =  11077584716.284204
 after =  11277887982.770802
-variation  200303266.48659706
---- Positive variations  [['0', '1', 200303266.48659706]]
---- Negative variations  []
+difference  200303266.48659706
+--- Positive differences  [['0', '1', 200303266.48659706]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  1
 before =  13032740041.301662
 after =  13466093714.884789
-variation  433353673.58312607
---- Positive variations  [['0', '1', 433353673.58312607]]
---- Negative variations  []
+difference  433353673.58312607
+--- Positive differences  [['0', '1', 433353673.58312607]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  0
 before =  9914879878.608921
 after =  9792238556.458897
-variation  -122641322.15002441
---- Positive variations  []
---- Negative variations  [['0', '1', -122641322.15002441]]
+difference  -122641322.15002441
+--- Positive differences  []
+--- Negative differences  [['0', '1', -122641322.15002441]]
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  1
 before =  10826437668.80332
 after =  13149307813.709753
-variation  2322870144.906433
---- Positive variations  [['0', '1', 2322870144.906433]]
---- Negative variations  []
+difference  2322870144.906433
+--- Positive differences  [['0', '1', 2322870144.906433]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  2
 before =  13319503717.355555
 after =  14169460801.402496
-variation  849957084.0469418
---- Positive variations  [['0', '1', 849957084.0469418]]
---- Negative variations  []
+difference  849957084.0469418
+--- Positive differences  [['0', '1', 849957084.0469418]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  3
 before =  12183785427.858591
 after =  13672498802.156504
-variation  1488713374.2979126
---- Positive variations  [['0', '1', 1488713374.2979126]]
---- Negative variations  []
+difference  1488713374.2979126
+--- Positive differences  [['0', '1', 1488713374.2979126]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  0
 before =  10103548780.723028
 after =  11013078797.37676
-variation  909530016.6537323
---- Positive variations  [['0', '1', 909530016.6537323]]
---- Negative variations  []
+difference  909530016.6537323
+--- Positive differences  [['0', '1', 909530016.6537323]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  1
 before =  12709730385.6615
 after =  14281173154.23472
-variation  1571442768.5732193
---- Positive variations  [['0', '1', 1571442768.5732193]]
---- Negative variations  []
+difference  1571442768.5732193
+--- Positive differences  [['0', '1', 1571442768.5732193]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  2
 before =  13588997216.553598
 after =  13749290391.280407
-variation  160293174.72680855
---- Positive variations  [['0', '1', 160293174.72680855]]
---- Negative variations  []
+difference  160293174.72680855
+--- Positive differences  [['0', '1', 160293174.72680855]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  3
 before =  12885977131.472908
 after =  13630190086.0944
-variation  744212954.6214924
---- Positive variations  [['0', '1', 744212954.6214924]]
---- Negative variations  []
+difference  744212954.6214924
+--- Positive differences  [['0', '1', 744212954.6214924]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  0.0
-Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
---- Interaction table and validation scores of variable 1 [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
+Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Interaction table and validation scores of variable 1:  [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[None, [], []], [None, [], []]]
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- Computing special sum and adding value  None
+ --- Computing special sum and adding value  None
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  0.0
 --- In function plot_marginal_interactions : plotting d_X_2 with regard to X_0, X_1, X_2, ... X_8
  --- Checking value  1
  --- Retained values  []
@@ -240541,218 +240775,335 @@ Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282
 --- Validating lesson learned:
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  0
 before =  11087950605.05849
 after =  11990688915.613588
-variation  902738310.5550976
---- Positive variations  [['0', '1', 902738310.5550976]]
---- Negative variations  []
+difference  902738310.5550976
+--- Positive differences  [['0', '1', 902738310.5550976]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  1
 before =  13126498967.509703
 after =  13332178324.048183
-variation  205679356.53848076
---- Positive variations  [['0', '1', 205679356.53848076]]
---- Negative variations  []
+difference  205679356.53848076
+--- Positive differences  [['0', '1', 205679356.53848076]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  2
 before =  13042342430.798382
 after =  13189434501.150463
-variation  147092070.3520813
---- Positive variations  [['0', '1', 147092070.3520813]]
---- Negative variations  []
+difference  147092070.3520813
+--- Positive differences  [['0', '1', 147092070.3520813]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  0
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  0
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  1
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  1
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  0
 before =  11698973734.211468
 after =  12174865899.451677
-variation  475892165.2402096
---- Positive variations  [['0', '1', 475892165.2402096]]
---- Negative variations  []
+difference  475892165.2402096
+--- Positive differences  [['0', '1', 475892165.2402096]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  1
 before =  12446253743.514301
 after =  13267466490.720062
-variation  821212747.205761
---- Positive variations  [['0', '1', 821212747.205761]]
---- Negative variations  []
+difference  821212747.205761
+--- Positive differences  [['0', '1', 821212747.205761]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  0
 before =  11623377997.722189
 after =  11860241451.114325
-variation  236863453.39213562
---- Positive variations  [['0', '1', 236863453.39213562]]
---- Negative variations  []
+difference  236863453.39213562
+--- Positive differences  [['0', '1', 236863453.39213562]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  1
 before =  12510395580.535353
 after =  13474911995.138273
-variation  964516414.6029205
---- Positive variations  [['0', '1', 964516414.6029205]]
---- Negative variations  []
+difference  964516414.6029205
+--- Positive differences  [['0', '1', 964516414.6029205]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  0
 before =  11891373485.372152
 after =  12008766909.909374
-variation  117393424.53722191
---- Positive variations  [['0', '1', 117393424.53722191]]
---- Negative variations  []
+difference  117393424.53722191
+--- Positive differences  [['0', '1', 117393424.53722191]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  1
 before =  12260626499.263239
 after =  13659222342.401014
-variation  1398595843.1377754
---- Positive variations  [['0', '1', 1398595843.1377754]]
---- Negative variations  []
+difference  1398595843.1377754
+--- Positive differences  [['0', '1', 1398595843.1377754]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  0
 before =  11133123486.140352
 after =  11800334090.949497
-variation  667210604.809145
---- Positive variations  [['0', '1', 667210604.809145]]
---- Negative variations  []
+difference  667210604.809145
+--- Positive differences  [['0', '1', 667210604.809145]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  1
 before =  12823897927.264296
 after =  13443074530.267462
-variation  619176603.0031662
---- Positive variations  [['0', '1', 619176603.0031662]]
---- Negative variations  []
+difference  619176603.0031662
+--- Positive differences  [['0', '1', 619176603.0031662]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  0
 before =  11077584716.284204
 after =  11277887982.770802
-variation  200303266.48659706
---- Positive variations  [['0', '1', 200303266.48659706]]
---- Negative variations  []
+difference  200303266.48659706
+--- Positive differences  [['0', '1', 200303266.48659706]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  1
 before =  13032740041.301662
 after =  13466093714.884789
-variation  433353673.58312607
---- Positive variations  [['0', '1', 433353673.58312607]]
---- Negative variations  []
+difference  433353673.58312607
+--- Positive differences  [['0', '1', 433353673.58312607]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  0
 before =  9914879878.608921
 after =  9792238556.458897
-variation  -122641322.15002441
---- Positive variations  []
---- Negative variations  [['0', '1', -122641322.15002441]]
+difference  -122641322.15002441
+--- Positive differences  []
+--- Negative differences  [['0', '1', -122641322.15002441]]
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  1
 before =  10826437668.80332
 after =  13149307813.709753
-variation  2322870144.906433
---- Positive variations  [['0', '1', 2322870144.906433]]
---- Negative variations  []
+difference  2322870144.906433
+--- Positive differences  [['0', '1', 2322870144.906433]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  2
 before =  13319503717.355555
 after =  14169460801.402496
-variation  849957084.0469418
---- Positive variations  [['0', '1', 849957084.0469418]]
---- Negative variations  []
+difference  849957084.0469418
+--- Positive differences  [['0', '1', 849957084.0469418]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  3
 before =  12183785427.858591
 after =  13672498802.156504
-variation  1488713374.2979126
---- Positive variations  [['0', '1', 1488713374.2979126]]
---- Negative variations  []
+difference  1488713374.2979126
+--- Positive differences  [['0', '1', 1488713374.2979126]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  0
 before =  10103548780.723028
 after =  11013078797.37676
-variation  909530016.6537323
---- Positive variations  [['0', '1', 909530016.6537323]]
---- Negative variations  []
+difference  909530016.6537323
+--- Positive differences  [['0', '1', 909530016.6537323]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  1
 before =  12709730385.6615
 after =  14281173154.23472
-variation  1571442768.5732193
---- Positive variations  [['0', '1', 1571442768.5732193]]
---- Negative variations  []
+difference  1571442768.5732193
+--- Positive differences  [['0', '1', 1571442768.5732193]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  2
 before =  13588997216.553598
 after =  13749290391.280407
-variation  160293174.72680855
---- Positive variations  [['0', '1', 160293174.72680855]]
---- Negative variations  []
+difference  160293174.72680855
+--- Positive differences  [['0', '1', 160293174.72680855]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  3
 before =  12885977131.472908
 after =  13630190086.0944
-variation  744212954.6214924
---- Positive variations  [['0', '1', 744212954.6214924]]
---- Negative variations  []
+difference  744212954.6214924
+--- Positive differences  [['0', '1', 744212954.6214924]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  0.0
-Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
---- Interaction table and validation scores of variable 2 [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
+Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Interaction table and validation scores of variable 2:  [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[None, [], []], [None, [], []]]
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- Computing special sum and adding value  None
+ --- Computing special sum and adding value  None
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  0.0
 --- In function plot_marginal_interactions : plotting d_X_3 with regard to X_0, X_1, X_2, ... X_8
  --- Checking value  1
  --- Retained values  []
@@ -250452,218 +250803,335 @@ Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282
 --- Validating lesson learned:
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  0
 before =  11087950605.05849
 after =  11990688915.613588
-variation  902738310.5550976
---- Positive variations  [['0', '1', 902738310.5550976]]
---- Negative variations  []
+difference  902738310.5550976
+--- Positive differences  [['0', '1', 902738310.5550976]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  1
 before =  13126498967.509703
 after =  13332178324.048183
-variation  205679356.53848076
---- Positive variations  [['0', '1', 205679356.53848076]]
---- Negative variations  []
+difference  205679356.53848076
+--- Positive differences  [['0', '1', 205679356.53848076]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  2
 before =  13042342430.798382
 after =  13189434501.150463
-variation  147092070.3520813
---- Positive variations  [['0', '1', 147092070.3520813]]
---- Negative variations  []
+difference  147092070.3520813
+--- Positive differences  [['0', '1', 147092070.3520813]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  0
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  0
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  1
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  1
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  0
 before =  11698973734.211468
 after =  12174865899.451677
-variation  475892165.2402096
---- Positive variations  [['0', '1', 475892165.2402096]]
---- Negative variations  []
+difference  475892165.2402096
+--- Positive differences  [['0', '1', 475892165.2402096]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  1
 before =  12446253743.514301
 after =  13267466490.720062
-variation  821212747.205761
---- Positive variations  [['0', '1', 821212747.205761]]
---- Negative variations  []
+difference  821212747.205761
+--- Positive differences  [['0', '1', 821212747.205761]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  0
 before =  11623377997.722189
 after =  11860241451.114325
-variation  236863453.39213562
---- Positive variations  [['0', '1', 236863453.39213562]]
---- Negative variations  []
+difference  236863453.39213562
+--- Positive differences  [['0', '1', 236863453.39213562]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  1
 before =  12510395580.535353
 after =  13474911995.138273
-variation  964516414.6029205
---- Positive variations  [['0', '1', 964516414.6029205]]
---- Negative variations  []
+difference  964516414.6029205
+--- Positive differences  [['0', '1', 964516414.6029205]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  0
 before =  11891373485.372152
 after =  12008766909.909374
-variation  117393424.53722191
---- Positive variations  [['0', '1', 117393424.53722191]]
---- Negative variations  []
+difference  117393424.53722191
+--- Positive differences  [['0', '1', 117393424.53722191]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  1
 before =  12260626499.263239
 after =  13659222342.401014
-variation  1398595843.1377754
---- Positive variations  [['0', '1', 1398595843.1377754]]
---- Negative variations  []
+difference  1398595843.1377754
+--- Positive differences  [['0', '1', 1398595843.1377754]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  0
 before =  11133123486.140352
 after =  11800334090.949497
-variation  667210604.809145
---- Positive variations  [['0', '1', 667210604.809145]]
---- Negative variations  []
+difference  667210604.809145
+--- Positive differences  [['0', '1', 667210604.809145]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  1
 before =  12823897927.264296
 after =  13443074530.267462
-variation  619176603.0031662
---- Positive variations  [['0', '1', 619176603.0031662]]
---- Negative variations  []
+difference  619176603.0031662
+--- Positive differences  [['0', '1', 619176603.0031662]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  0
 before =  11077584716.284204
 after =  11277887982.770802
-variation  200303266.48659706
---- Positive variations  [['0', '1', 200303266.48659706]]
---- Negative variations  []
+difference  200303266.48659706
+--- Positive differences  [['0', '1', 200303266.48659706]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  1
 before =  13032740041.301662
 after =  13466093714.884789
-variation  433353673.58312607
---- Positive variations  [['0', '1', 433353673.58312607]]
---- Negative variations  []
+difference  433353673.58312607
+--- Positive differences  [['0', '1', 433353673.58312607]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  0
 before =  9914879878.608921
 after =  9792238556.458897
-variation  -122641322.15002441
---- Positive variations  []
---- Negative variations  [['0', '1', -122641322.15002441]]
+difference  -122641322.15002441
+--- Positive differences  []
+--- Negative differences  [['0', '1', -122641322.15002441]]
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  1
 before =  10826437668.80332
 after =  13149307813.709753
-variation  2322870144.906433
---- Positive variations  [['0', '1', 2322870144.906433]]
---- Negative variations  []
+difference  2322870144.906433
+--- Positive differences  [['0', '1', 2322870144.906433]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  2
 before =  13319503717.355555
 after =  14169460801.402496
-variation  849957084.0469418
---- Positive variations  [['0', '1', 849957084.0469418]]
---- Negative variations  []
+difference  849957084.0469418
+--- Positive differences  [['0', '1', 849957084.0469418]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  3
 before =  12183785427.858591
 after =  13672498802.156504
-variation  1488713374.2979126
---- Positive variations  [['0', '1', 1488713374.2979126]]
---- Negative variations  []
+difference  1488713374.2979126
+--- Positive differences  [['0', '1', 1488713374.2979126]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  0
 before =  10103548780.723028
 after =  11013078797.37676
-variation  909530016.6537323
---- Positive variations  [['0', '1', 909530016.6537323]]
---- Negative variations  []
+difference  909530016.6537323
+--- Positive differences  [['0', '1', 909530016.6537323]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  1
 before =  12709730385.6615
 after =  14281173154.23472
-variation  1571442768.5732193
---- Positive variations  [['0', '1', 1571442768.5732193]]
---- Negative variations  []
+difference  1571442768.5732193
+--- Positive differences  [['0', '1', 1571442768.5732193]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  2
 before =  13588997216.553598
 after =  13749290391.280407
-variation  160293174.72680855
---- Positive variations  [['0', '1', 160293174.72680855]]
---- Negative variations  []
+difference  160293174.72680855
+--- Positive differences  [['0', '1', 160293174.72680855]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  3
 before =  12885977131.472908
 after =  13630190086.0944
-variation  744212954.6214924
---- Positive variations  [['0', '1', 744212954.6214924]]
---- Negative variations  []
+difference  744212954.6214924
+--- Positive differences  [['0', '1', 744212954.6214924]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  0.0
-Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
---- Interaction table and validation scores of variable 3 [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
+Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Interaction table and validation scores of variable 3:  [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[None, [], []], [None, [], []]]
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- Computing special sum and adding value  None
+ --- Computing special sum and adding value  None
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  0.0
 --- In function plot_marginal_interactions : plotting d_X_4 with regard to X_0, X_1, X_2, ... X_8
  --- Checking value  1
  --- Retained values  []
@@ -260363,218 +260831,335 @@ Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282
 --- Validating lesson learned:
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  0
 before =  11087950605.05849
 after =  11990688915.613588
-variation  902738310.5550976
---- Positive variations  [['0', '1', 902738310.5550976]]
---- Negative variations  []
+difference  902738310.5550976
+--- Positive differences  [['0', '1', 902738310.5550976]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  1
 before =  13126498967.509703
 after =  13332178324.048183
-variation  205679356.53848076
---- Positive variations  [['0', '1', 205679356.53848076]]
---- Negative variations  []
+difference  205679356.53848076
+--- Positive differences  [['0', '1', 205679356.53848076]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  2
 before =  13042342430.798382
 after =  13189434501.150463
-variation  147092070.3520813
---- Positive variations  [['0', '1', 147092070.3520813]]
---- Negative variations  []
+difference  147092070.3520813
+--- Positive differences  [['0', '1', 147092070.3520813]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  0
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  0
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  1
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  1
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  0
 before =  11698973734.211468
 after =  12174865899.451677
-variation  475892165.2402096
---- Positive variations  [['0', '1', 475892165.2402096]]
---- Negative variations  []
+difference  475892165.2402096
+--- Positive differences  [['0', '1', 475892165.2402096]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  1
 before =  12446253743.514301
 after =  13267466490.720062
-variation  821212747.205761
---- Positive variations  [['0', '1', 821212747.205761]]
---- Negative variations  []
+difference  821212747.205761
+--- Positive differences  [['0', '1', 821212747.205761]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  0
 before =  11623377997.722189
 after =  11860241451.114325
-variation  236863453.39213562
---- Positive variations  [['0', '1', 236863453.39213562]]
---- Negative variations  []
+difference  236863453.39213562
+--- Positive differences  [['0', '1', 236863453.39213562]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  1
 before =  12510395580.535353
 after =  13474911995.138273
-variation  964516414.6029205
---- Positive variations  [['0', '1', 964516414.6029205]]
---- Negative variations  []
+difference  964516414.6029205
+--- Positive differences  [['0', '1', 964516414.6029205]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  0
 before =  11891373485.372152
 after =  12008766909.909374
-variation  117393424.53722191
---- Positive variations  [['0', '1', 117393424.53722191]]
---- Negative variations  []
+difference  117393424.53722191
+--- Positive differences  [['0', '1', 117393424.53722191]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  1
 before =  12260626499.263239
 after =  13659222342.401014
-variation  1398595843.1377754
---- Positive variations  [['0', '1', 1398595843.1377754]]
---- Negative variations  []
+difference  1398595843.1377754
+--- Positive differences  [['0', '1', 1398595843.1377754]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  0
 before =  11133123486.140352
 after =  11800334090.949497
-variation  667210604.809145
---- Positive variations  [['0', '1', 667210604.809145]]
---- Negative variations  []
+difference  667210604.809145
+--- Positive differences  [['0', '1', 667210604.809145]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  1
 before =  12823897927.264296
 after =  13443074530.267462
-variation  619176603.0031662
---- Positive variations  [['0', '1', 619176603.0031662]]
---- Negative variations  []
+difference  619176603.0031662
+--- Positive differences  [['0', '1', 619176603.0031662]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  0
 before =  11077584716.284204
 after =  11277887982.770802
-variation  200303266.48659706
---- Positive variations  [['0', '1', 200303266.48659706]]
---- Negative variations  []
+difference  200303266.48659706
+--- Positive differences  [['0', '1', 200303266.48659706]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  1
 before =  13032740041.301662
 after =  13466093714.884789
-variation  433353673.58312607
---- Positive variations  [['0', '1', 433353673.58312607]]
---- Negative variations  []
+difference  433353673.58312607
+--- Positive differences  [['0', '1', 433353673.58312607]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  0
 before =  9914879878.608921
 after =  9792238556.458897
-variation  -122641322.15002441
---- Positive variations  []
---- Negative variations  [['0', '1', -122641322.15002441]]
+difference  -122641322.15002441
+--- Positive differences  []
+--- Negative differences  [['0', '1', -122641322.15002441]]
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  1
 before =  10826437668.80332
 after =  13149307813.709753
-variation  2322870144.906433
---- Positive variations  [['0', '1', 2322870144.906433]]
---- Negative variations  []
+difference  2322870144.906433
+--- Positive differences  [['0', '1', 2322870144.906433]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  2
 before =  13319503717.355555
 after =  14169460801.402496
-variation  849957084.0469418
---- Positive variations  [['0', '1', 849957084.0469418]]
---- Negative variations  []
+difference  849957084.0469418
+--- Positive differences  [['0', '1', 849957084.0469418]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  3
 before =  12183785427.858591
 after =  13672498802.156504
-variation  1488713374.2979126
---- Positive variations  [['0', '1', 1488713374.2979126]]
---- Negative variations  []
+difference  1488713374.2979126
+--- Positive differences  [['0', '1', 1488713374.2979126]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  0
 before =  10103548780.723028
 after =  11013078797.37676
-variation  909530016.6537323
---- Positive variations  [['0', '1', 909530016.6537323]]
---- Negative variations  []
+difference  909530016.6537323
+--- Positive differences  [['0', '1', 909530016.6537323]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  1
 before =  12709730385.6615
 after =  14281173154.23472
-variation  1571442768.5732193
---- Positive variations  [['0', '1', 1571442768.5732193]]
---- Negative variations  []
+difference  1571442768.5732193
+--- Positive differences  [['0', '1', 1571442768.5732193]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  2
 before =  13588997216.553598
 after =  13749290391.280407
-variation  160293174.72680855
---- Positive variations  [['0', '1', 160293174.72680855]]
---- Negative variations  []
+difference  160293174.72680855
+--- Positive differences  [['0', '1', 160293174.72680855]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  3
 before =  12885977131.472908
 after =  13630190086.0944
-variation  744212954.6214924
---- Positive variations  [['0', '1', 744212954.6214924]]
---- Negative variations  []
+difference  744212954.6214924
+--- Positive differences  [['0', '1', 744212954.6214924]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  0.0
-Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
---- Interaction table and validation scores of variable 4 [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
+Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Interaction table and validation scores of variable 4:  [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[None, [], []], [None, [], []]]
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- Computing special sum and adding value  None
+ --- Computing special sum and adding value  None
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  0.0
 --- In function plot_marginal_interactions : plotting d_X_5 with regard to X_0, X_1, X_2, ... X_8
  --- Checking value  1
  --- Retained values  []
@@ -270274,218 +270859,335 @@ Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282
 --- Validating lesson learned:
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  0
 before =  11087950605.05849
 after =  11990688915.613588
-variation  902738310.5550976
---- Positive variations  [['0', '1', 902738310.5550976]]
---- Negative variations  []
+difference  902738310.5550976
+--- Positive differences  [['0', '1', 902738310.5550976]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  1
 before =  13126498967.509703
 after =  13332178324.048183
-variation  205679356.53848076
---- Positive variations  [['0', '1', 205679356.53848076]]
---- Negative variations  []
+difference  205679356.53848076
+--- Positive differences  [['0', '1', 205679356.53848076]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  2
 before =  13042342430.798382
 after =  13189434501.150463
-variation  147092070.3520813
---- Positive variations  [['0', '1', 147092070.3520813]]
---- Negative variations  []
+difference  147092070.3520813
+--- Positive differences  [['0', '1', 147092070.3520813]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  0
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  0
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  1
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  1
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  0
 before =  11698973734.211468
 after =  12174865899.451677
-variation  475892165.2402096
---- Positive variations  [['0', '1', 475892165.2402096]]
---- Negative variations  []
+difference  475892165.2402096
+--- Positive differences  [['0', '1', 475892165.2402096]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  1
 before =  12446253743.514301
 after =  13267466490.720062
-variation  821212747.205761
---- Positive variations  [['0', '1', 821212747.205761]]
---- Negative variations  []
+difference  821212747.205761
+--- Positive differences  [['0', '1', 821212747.205761]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  0
 before =  11623377997.722189
 after =  11860241451.114325
-variation  236863453.39213562
---- Positive variations  [['0', '1', 236863453.39213562]]
---- Negative variations  []
+difference  236863453.39213562
+--- Positive differences  [['0', '1', 236863453.39213562]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  1
 before =  12510395580.535353
 after =  13474911995.138273
-variation  964516414.6029205
---- Positive variations  [['0', '1', 964516414.6029205]]
---- Negative variations  []
+difference  964516414.6029205
+--- Positive differences  [['0', '1', 964516414.6029205]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  0
 before =  11891373485.372152
 after =  12008766909.909374
-variation  117393424.53722191
---- Positive variations  [['0', '1', 117393424.53722191]]
---- Negative variations  []
+difference  117393424.53722191
+--- Positive differences  [['0', '1', 117393424.53722191]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  1
 before =  12260626499.263239
 after =  13659222342.401014
-variation  1398595843.1377754
---- Positive variations  [['0', '1', 1398595843.1377754]]
---- Negative variations  []
+difference  1398595843.1377754
+--- Positive differences  [['0', '1', 1398595843.1377754]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  0
 before =  11133123486.140352
 after =  11800334090.949497
-variation  667210604.809145
---- Positive variations  [['0', '1', 667210604.809145]]
---- Negative variations  []
+difference  667210604.809145
+--- Positive differences  [['0', '1', 667210604.809145]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  1
 before =  12823897927.264296
 after =  13443074530.267462
-variation  619176603.0031662
---- Positive variations  [['0', '1', 619176603.0031662]]
---- Negative variations  []
+difference  619176603.0031662
+--- Positive differences  [['0', '1', 619176603.0031662]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  0
 before =  11077584716.284204
 after =  11277887982.770802
-variation  200303266.48659706
---- Positive variations  [['0', '1', 200303266.48659706]]
---- Negative variations  []
+difference  200303266.48659706
+--- Positive differences  [['0', '1', 200303266.48659706]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  1
 before =  13032740041.301662
 after =  13466093714.884789
-variation  433353673.58312607
---- Positive variations  [['0', '1', 433353673.58312607]]
---- Negative variations  []
+difference  433353673.58312607
+--- Positive differences  [['0', '1', 433353673.58312607]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  0
 before =  9914879878.608921
 after =  9792238556.458897
-variation  -122641322.15002441
---- Positive variations  []
---- Negative variations  [['0', '1', -122641322.15002441]]
+difference  -122641322.15002441
+--- Positive differences  []
+--- Negative differences  [['0', '1', -122641322.15002441]]
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  1
 before =  10826437668.80332
 after =  13149307813.709753
-variation  2322870144.906433
---- Positive variations  [['0', '1', 2322870144.906433]]
---- Negative variations  []
+difference  2322870144.906433
+--- Positive differences  [['0', '1', 2322870144.906433]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  2
 before =  13319503717.355555
 after =  14169460801.402496
-variation  849957084.0469418
---- Positive variations  [['0', '1', 849957084.0469418]]
---- Negative variations  []
+difference  849957084.0469418
+--- Positive differences  [['0', '1', 849957084.0469418]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  3
 before =  12183785427.858591
 after =  13672498802.156504
-variation  1488713374.2979126
---- Positive variations  [['0', '1', 1488713374.2979126]]
---- Negative variations  []
+difference  1488713374.2979126
+--- Positive differences  [['0', '1', 1488713374.2979126]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  0
 before =  10103548780.723028
 after =  11013078797.37676
-variation  909530016.6537323
---- Positive variations  [['0', '1', 909530016.6537323]]
---- Negative variations  []
+difference  909530016.6537323
+--- Positive differences  [['0', '1', 909530016.6537323]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  1
 before =  12709730385.6615
 after =  14281173154.23472
-variation  1571442768.5732193
---- Positive variations  [['0', '1', 1571442768.5732193]]
---- Negative variations  []
+difference  1571442768.5732193
+--- Positive differences  [['0', '1', 1571442768.5732193]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  2
 before =  13588997216.553598
 after =  13749290391.280407
-variation  160293174.72680855
---- Positive variations  [['0', '1', 160293174.72680855]]
---- Negative variations  []
+difference  160293174.72680855
+--- Positive differences  [['0', '1', 160293174.72680855]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  3
 before =  12885977131.472908
 after =  13630190086.0944
-variation  744212954.6214924
---- Positive variations  [['0', '1', 744212954.6214924]]
---- Negative variations  []
+difference  744212954.6214924
+--- Positive differences  [['0', '1', 744212954.6214924]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  0.0
-Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
---- Interaction table and validation scores of variable 5 [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
+Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Interaction table and validation scores of variable 5:  [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[None, [], []], [None, [], []]]
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- Computing special sum and adding value  None
+ --- Computing special sum and adding value  None
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  0.0
 --- In function plot_marginal_interactions : plotting d_X_6 with regard to X_0, X_1, X_2, ... X_8
  --- Checking value  1
  --- Retained values  []
@@ -280185,218 +280887,335 @@ Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282
 --- Validating lesson learned:
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  0
 before =  11087950605.05849
 after =  11990688915.613588
-variation  902738310.5550976
---- Positive variations  [['0', '1', 902738310.5550976]]
---- Negative variations  []
+difference  902738310.5550976
+--- Positive differences  [['0', '1', 902738310.5550976]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  1
 before =  13126498967.509703
 after =  13332178324.048183
-variation  205679356.53848076
---- Positive variations  [['0', '1', 205679356.53848076]]
---- Negative variations  []
+difference  205679356.53848076
+--- Positive differences  [['0', '1', 205679356.53848076]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  2
 before =  13042342430.798382
 after =  13189434501.150463
-variation  147092070.3520813
---- Positive variations  [['0', '1', 147092070.3520813]]
---- Negative variations  []
+difference  147092070.3520813
+--- Positive differences  [['0', '1', 147092070.3520813]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  0
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  0
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  1
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  1
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  0
 before =  11698973734.211468
 after =  12174865899.451677
-variation  475892165.2402096
---- Positive variations  [['0', '1', 475892165.2402096]]
---- Negative variations  []
+difference  475892165.2402096
+--- Positive differences  [['0', '1', 475892165.2402096]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  1
 before =  12446253743.514301
 after =  13267466490.720062
-variation  821212747.205761
---- Positive variations  [['0', '1', 821212747.205761]]
---- Negative variations  []
+difference  821212747.205761
+--- Positive differences  [['0', '1', 821212747.205761]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  0
 before =  11623377997.722189
 after =  11860241451.114325
-variation  236863453.39213562
---- Positive variations  [['0', '1', 236863453.39213562]]
---- Negative variations  []
+difference  236863453.39213562
+--- Positive differences  [['0', '1', 236863453.39213562]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  1
 before =  12510395580.535353
 after =  13474911995.138273
-variation  964516414.6029205
---- Positive variations  [['0', '1', 964516414.6029205]]
---- Negative variations  []
+difference  964516414.6029205
+--- Positive differences  [['0', '1', 964516414.6029205]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  0
 before =  11891373485.372152
 after =  12008766909.909374
-variation  117393424.53722191
---- Positive variations  [['0', '1', 117393424.53722191]]
---- Negative variations  []
+difference  117393424.53722191
+--- Positive differences  [['0', '1', 117393424.53722191]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  1
 before =  12260626499.263239
 after =  13659222342.401014
-variation  1398595843.1377754
---- Positive variations  [['0', '1', 1398595843.1377754]]
---- Negative variations  []
+difference  1398595843.1377754
+--- Positive differences  [['0', '1', 1398595843.1377754]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  0
 before =  11133123486.140352
 after =  11800334090.949497
-variation  667210604.809145
---- Positive variations  [['0', '1', 667210604.809145]]
---- Negative variations  []
+difference  667210604.809145
+--- Positive differences  [['0', '1', 667210604.809145]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  1
 before =  12823897927.264296
 after =  13443074530.267462
-variation  619176603.0031662
---- Positive variations  [['0', '1', 619176603.0031662]]
---- Negative variations  []
+difference  619176603.0031662
+--- Positive differences  [['0', '1', 619176603.0031662]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  0
 before =  11077584716.284204
 after =  11277887982.770802
-variation  200303266.48659706
---- Positive variations  [['0', '1', 200303266.48659706]]
---- Negative variations  []
+difference  200303266.48659706
+--- Positive differences  [['0', '1', 200303266.48659706]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  1
 before =  13032740041.301662
 after =  13466093714.884789
-variation  433353673.58312607
---- Positive variations  [['0', '1', 433353673.58312607]]
---- Negative variations  []
+difference  433353673.58312607
+--- Positive differences  [['0', '1', 433353673.58312607]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  0
 before =  9914879878.608921
 after =  9792238556.458897
-variation  -122641322.15002441
---- Positive variations  []
---- Negative variations  [['0', '1', -122641322.15002441]]
+difference  -122641322.15002441
+--- Positive differences  []
+--- Negative differences  [['0', '1', -122641322.15002441]]
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  1
 before =  10826437668.80332
 after =  13149307813.709753
-variation  2322870144.906433
---- Positive variations  [['0', '1', 2322870144.906433]]
---- Negative variations  []
+difference  2322870144.906433
+--- Positive differences  [['0', '1', 2322870144.906433]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  2
 before =  13319503717.355555
 after =  14169460801.402496
-variation  849957084.0469418
---- Positive variations  [['0', '1', 849957084.0469418]]
---- Negative variations  []
+difference  849957084.0469418
+--- Positive differences  [['0', '1', 849957084.0469418]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  3
 before =  12183785427.858591
 after =  13672498802.156504
-variation  1488713374.2979126
---- Positive variations  [['0', '1', 1488713374.2979126]]
---- Negative variations  []
+difference  1488713374.2979126
+--- Positive differences  [['0', '1', 1488713374.2979126]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  0
 before =  10103548780.723028
 after =  11013078797.37676
-variation  909530016.6537323
---- Positive variations  [['0', '1', 909530016.6537323]]
---- Negative variations  []
+difference  909530016.6537323
+--- Positive differences  [['0', '1', 909530016.6537323]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  1
 before =  12709730385.6615
 after =  14281173154.23472
-variation  1571442768.5732193
---- Positive variations  [['0', '1', 1571442768.5732193]]
---- Negative variations  []
+difference  1571442768.5732193
+--- Positive differences  [['0', '1', 1571442768.5732193]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  2
 before =  13588997216.553598
 after =  13749290391.280407
-variation  160293174.72680855
---- Positive variations  [['0', '1', 160293174.72680855]]
---- Negative variations  []
+difference  160293174.72680855
+--- Positive differences  [['0', '1', 160293174.72680855]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  3
 before =  12885977131.472908
 after =  13630190086.0944
-variation  744212954.6214924
---- Positive variations  [['0', '1', 744212954.6214924]]
---- Negative variations  []
+difference  744212954.6214924
+--- Positive differences  [['0', '1', 744212954.6214924]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  0.0
-Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
---- Interaction table and validation scores of variable 6 [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
+Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Interaction table and validation scores of variable 6:  [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[None, [], []], [None, [], []]]
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- Computing special sum and adding value  None
+ --- Computing special sum and adding value  None
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  0.0
 --- In function plot_marginal_interactions : plotting d_X_7 with regard to X_0, X_1, X_2, ... X_8
  --- Checking value  1
  --- Retained values  []
@@ -290096,218 +290915,335 @@ Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282
 --- Validating lesson learned:
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  0
 before =  11087950605.05849
 after =  11990688915.613588
-variation  902738310.5550976
---- Positive variations  [['0', '1', 902738310.5550976]]
---- Negative variations  []
+difference  902738310.5550976
+--- Positive differences  [['0', '1', 902738310.5550976]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  1
 before =  13126498967.509703
 after =  13332178324.048183
-variation  205679356.53848076
---- Positive variations  [['0', '1', 205679356.53848076]]
---- Negative variations  []
+difference  205679356.53848076
+--- Positive differences  [['0', '1', 205679356.53848076]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  2
 before =  13042342430.798382
 after =  13189434501.150463
-variation  147092070.3520813
---- Positive variations  [['0', '1', 147092070.3520813]]
---- Negative variations  []
+difference  147092070.3520813
+--- Positive differences  [['0', '1', 147092070.3520813]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  0
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  0
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  1
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  1
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  0
 before =  11698973734.211468
 after =  12174865899.451677
-variation  475892165.2402096
---- Positive variations  [['0', '1', 475892165.2402096]]
---- Negative variations  []
+difference  475892165.2402096
+--- Positive differences  [['0', '1', 475892165.2402096]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  1
 before =  12446253743.514301
 after =  13267466490.720062
-variation  821212747.205761
---- Positive variations  [['0', '1', 821212747.205761]]
---- Negative variations  []
+difference  821212747.205761
+--- Positive differences  [['0', '1', 821212747.205761]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  0
 before =  11623377997.722189
 after =  11860241451.114325
-variation  236863453.39213562
---- Positive variations  [['0', '1', 236863453.39213562]]
---- Negative variations  []
+difference  236863453.39213562
+--- Positive differences  [['0', '1', 236863453.39213562]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  1
 before =  12510395580.535353
 after =  13474911995.138273
-variation  964516414.6029205
---- Positive variations  [['0', '1', 964516414.6029205]]
---- Negative variations  []
+difference  964516414.6029205
+--- Positive differences  [['0', '1', 964516414.6029205]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  0
 before =  11891373485.372152
 after =  12008766909.909374
-variation  117393424.53722191
---- Positive variations  [['0', '1', 117393424.53722191]]
---- Negative variations  []
+difference  117393424.53722191
+--- Positive differences  [['0', '1', 117393424.53722191]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  1
 before =  12260626499.263239
 after =  13659222342.401014
-variation  1398595843.1377754
---- Positive variations  [['0', '1', 1398595843.1377754]]
---- Negative variations  []
+difference  1398595843.1377754
+--- Positive differences  [['0', '1', 1398595843.1377754]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  0
 before =  11133123486.140352
 after =  11800334090.949497
-variation  667210604.809145
---- Positive variations  [['0', '1', 667210604.809145]]
---- Negative variations  []
+difference  667210604.809145
+--- Positive differences  [['0', '1', 667210604.809145]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  1
 before =  12823897927.264296
 after =  13443074530.267462
-variation  619176603.0031662
---- Positive variations  [['0', '1', 619176603.0031662]]
---- Negative variations  []
+difference  619176603.0031662
+--- Positive differences  [['0', '1', 619176603.0031662]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  0
 before =  11077584716.284204
 after =  11277887982.770802
-variation  200303266.48659706
---- Positive variations  [['0', '1', 200303266.48659706]]
---- Negative variations  []
+difference  200303266.48659706
+--- Positive differences  [['0', '1', 200303266.48659706]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  1
 before =  13032740041.301662
 after =  13466093714.884789
-variation  433353673.58312607
---- Positive variations  [['0', '1', 433353673.58312607]]
---- Negative variations  []
+difference  433353673.58312607
+--- Positive differences  [['0', '1', 433353673.58312607]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  0
 before =  9914879878.608921
 after =  9792238556.458897
-variation  -122641322.15002441
---- Positive variations  []
---- Negative variations  [['0', '1', -122641322.15002441]]
+difference  -122641322.15002441
+--- Positive differences  []
+--- Negative differences  [['0', '1', -122641322.15002441]]
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  1
 before =  10826437668.80332
 after =  13149307813.709753
-variation  2322870144.906433
---- Positive variations  [['0', '1', 2322870144.906433]]
---- Negative variations  []
+difference  2322870144.906433
+--- Positive differences  [['0', '1', 2322870144.906433]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  2
 before =  13319503717.355555
 after =  14169460801.402496
-variation  849957084.0469418
---- Positive variations  [['0', '1', 849957084.0469418]]
---- Negative variations  []
+difference  849957084.0469418
+--- Positive differences  [['0', '1', 849957084.0469418]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  3
 before =  12183785427.858591
 after =  13672498802.156504
-variation  1488713374.2979126
---- Positive variations  [['0', '1', 1488713374.2979126]]
---- Negative variations  []
+difference  1488713374.2979126
+--- Positive differences  [['0', '1', 1488713374.2979126]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  0
 before =  10103548780.723028
 after =  11013078797.37676
-variation  909530016.6537323
---- Positive variations  [['0', '1', 909530016.6537323]]
---- Negative variations  []
+difference  909530016.6537323
+--- Positive differences  [['0', '1', 909530016.6537323]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  1
 before =  12709730385.6615
 after =  14281173154.23472
-variation  1571442768.5732193
---- Positive variations  [['0', '1', 1571442768.5732193]]
---- Negative variations  []
+difference  1571442768.5732193
+--- Positive differences  [['0', '1', 1571442768.5732193]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  2
 before =  13588997216.553598
 after =  13749290391.280407
-variation  160293174.72680855
---- Positive variations  [['0', '1', 160293174.72680855]]
---- Negative variations  []
+difference  160293174.72680855
+--- Positive differences  [['0', '1', 160293174.72680855]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  3
 before =  12885977131.472908
 after =  13630190086.0944
-variation  744212954.6214924
---- Positive variations  [['0', '1', 744212954.6214924]]
---- Negative variations  []
+difference  744212954.6214924
+--- Positive differences  [['0', '1', 744212954.6214924]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  0.0
-Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
---- Interaction table and validation scores of variable 7 [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
+Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Interaction table and validation scores of variable 7:  [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[None, [], []], [None, [], []]]
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- Computing special sum and adding value  None
+ --- Computing special sum and adding value  None
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  0.0
 --- In function plot_marginal_interactions : plotting d_X_8 with regard to X_0, X_1, X_2, ... X_8
  --- Checking value  1
  --- Retained values  []
@@ -300007,219 +300943,336 @@ Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282
 --- Validating lesson learned:
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  0
 before =  11087950605.05849
 after =  11990688915.613588
-variation  902738310.5550976
---- Positive variations  [['0', '1', 902738310.5550976]]
---- Negative variations  []
+difference  902738310.5550976
+--- Positive differences  [['0', '1', 902738310.5550976]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  1
 before =  13126498967.509703
 after =  13332178324.048183
-variation  205679356.53848076
---- Positive variations  [['0', '1', 205679356.53848076]]
---- Negative variations  []
+difference  205679356.53848076
+--- Positive differences  [['0', '1', 205679356.53848076]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column little_socket_frequency having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column little_socket_frequency having value  2
 before =  13042342430.798382
 after =  13189434501.150463
-variation  147092070.3520813
---- Positive variations  [['0', '1', 147092070.3520813]]
---- Negative variations  []
+difference  147092070.3520813
+--- Positive differences  [['0', '1', 147092070.3520813]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  0
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  0
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_0_state having value  1
+--- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
+--- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
+ and secondary column core_0_state having value  1
+before =  None
+after =  None
+--- Positive differences  []
+--- Negative differences  []
+--- Fitstall dynamic score on this advice  None
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  0
 before =  11698973734.211468
 after =  12174865899.451677
-variation  475892165.2402096
---- Positive variations  [['0', '1', 475892165.2402096]]
---- Negative variations  []
+difference  475892165.2402096
+--- Positive differences  [['0', '1', 475892165.2402096]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_1_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_1_state having value  1
 before =  12446253743.514301
 after =  13267466490.720062
-variation  821212747.205761
---- Positive variations  [['0', '1', 821212747.205761]]
---- Negative variations  []
+difference  821212747.205761
+--- Positive differences  [['0', '1', 821212747.205761]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  0
 before =  11623377997.722189
 after =  11860241451.114325
-variation  236863453.39213562
---- Positive variations  [['0', '1', 236863453.39213562]]
---- Negative variations  []
+difference  236863453.39213562
+--- Positive differences  [['0', '1', 236863453.39213562]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_2_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_2_state having value  1
 before =  12510395580.535353
 after =  13474911995.138273
-variation  964516414.6029205
---- Positive variations  [['0', '1', 964516414.6029205]]
---- Negative variations  []
+difference  964516414.6029205
+--- Positive differences  [['0', '1', 964516414.6029205]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  0
 before =  11891373485.372152
 after =  12008766909.909374
-variation  117393424.53722191
---- Positive variations  [['0', '1', 117393424.53722191]]
---- Negative variations  []
+difference  117393424.53722191
+--- Positive differences  [['0', '1', 117393424.53722191]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_3_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_3_state having value  1
 before =  12260626499.263239
 after =  13659222342.401014
-variation  1398595843.1377754
---- Positive variations  [['0', '1', 1398595843.1377754]]
---- Negative variations  []
+difference  1398595843.1377754
+--- Positive differences  [['0', '1', 1398595843.1377754]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  0
 before =  11133123486.140352
 after =  11800334090.949497
-variation  667210604.809145
---- Positive variations  [['0', '1', 667210604.809145]]
---- Negative variations  []
+difference  667210604.809145
+--- Positive differences  [['0', '1', 667210604.809145]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_4_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_4_state having value  1
 before =  12823897927.264296
 after =  13443074530.267462
-variation  619176603.0031662
---- Positive variations  [['0', '1', 619176603.0031662]]
---- Negative variations  []
+difference  619176603.0031662
+--- Positive differences  [['0', '1', 619176603.0031662]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  0
 before =  11077584716.284204
 after =  11277887982.770802
-variation  200303266.48659706
---- Positive variations  [['0', '1', 200303266.48659706]]
---- Negative variations  []
+difference  200303266.48659706
+--- Positive differences  [['0', '1', 200303266.48659706]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_5_state having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_5_state having value  1
 before =  13032740041.301662
 after =  13466093714.884789
-variation  433353673.58312607
---- Positive variations  [['0', '1', 433353673.58312607]]
---- Negative variations  []
+difference  433353673.58312607
+--- Positive differences  [['0', '1', 433353673.58312607]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  0
 before =  9914879878.608921
 after =  9792238556.458897
-variation  -122641322.15002441
---- Positive variations  []
---- Negative variations  [['0', '1', -122641322.15002441]]
+difference  -122641322.15002441
+--- Positive differences  []
+--- Negative differences  [['0', '1', -122641322.15002441]]
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  1
 before =  10826437668.80332
 after =  13149307813.709753
-variation  2322870144.906433
---- Positive variations  [['0', '1', 2322870144.906433]]
---- Negative variations  []
+difference  2322870144.906433
+--- Positive differences  [['0', '1', 2322870144.906433]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  2
 before =  13319503717.355555
 after =  14169460801.402496
-variation  849957084.0469418
---- Positive variations  [['0', '1', 849957084.0469418]]
---- Negative variations  []
+difference  849957084.0469418
+--- Positive differences  [['0', '1', 849957084.0469418]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_6_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_6_state_freq_level having value  3
 before =  12183785427.858591
 after =  13672498802.156504
-variation  1488713374.2979126
---- Positive variations  [['0', '1', 1488713374.2979126]]
---- Negative variations  []
+difference  1488713374.2979126
+--- Positive differences  [['0', '1', 1488713374.2979126]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  0
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  0
 before =  10103548780.723028
 after =  11013078797.37676
-variation  909530016.6537323
---- Positive variations  [['0', '1', 909530016.6537323]]
---- Negative variations  []
+difference  909530016.6537323
+--- Positive differences  [['0', '1', 909530016.6537323]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  1
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  1
 before =  12709730385.6615
 after =  14281173154.23472
-variation  1571442768.5732193
---- Positive variations  [['0', '1', 1571442768.5732193]]
---- Negative variations  []
+difference  1571442768.5732193
+--- Positive differences  [['0', '1', 1571442768.5732193]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  2
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  2
 before =  13588997216.553598
 after =  13749290391.280407
-variation  160293174.72680855
---- Positive variations  [['0', '1', 160293174.72680855]]
---- Negative variations  []
+difference  160293174.72680855
+--- Positive differences  [['0', '1', 160293174.72680855]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  100.0
 --- Evaluating FitsAll advice for cibled column core_0_state and secondary column core_7_state_freq_level having value  3
 --- Computing increment couple on possible values ['0', '1']
+--- Computing increment couple on possible values; result  [['0', '1']]
 --- Evaluating FitsAll increment for cibled column core_0_state going from 0 to 1 
  and secondary column core_7_state_freq_level having value  3
 before =  12885977131.472908
 after =  13630190086.0944
-variation  744212954.6214924
---- Positive variations  [['0', '1', 744212954.6214924]]
---- Negative variations  []
+difference  744212954.6214924
+--- Positive differences  [['0', '1', 744212954.6214924]]
+--- Negative differences  []
 --- Fitstall dynamic score on this advice  0.0
-Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
---- Interaction table and validation scores of variable 8 [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]
---- Scores of all interactions [[[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]], [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]], [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]], [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]], [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]], [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]], [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]], [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]], [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [[]], [[['0', '1', 902738310.5550976]]]], [100.0, [[]], [[['0', '1', 205679356.53848076]]]], [100.0, [[]], [[['0', '1', 147092070.3520813]]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [0, 0]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [[]], [[['0', '1', 475892165.2402096]]]], [100.0, [[]], [[['0', '1', 821212747.205761]]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [[]], [[['0', '1', 236863453.39213562]]]], [100.0, [[]], [[['0', '1', 964516414.6029205]]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [[]], [[['0', '1', 117393424.53722191]]]], [100.0, [[]], [[['0', '1', 1398595843.1377754]]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [[]], [[['0', '1', 667210604.809145]]]], [100.0, [[]], [[['0', '1', 619176603.0031662]]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [[]], [[['0', '1', 200303266.48659706]]]], [100.0, [[]], [[['0', '1', 433353673.58312607]]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [[['0', '1', -122641322.15002441]]], [[]]], [100.0, [[]], [[['0', '1', 2322870144.906433]]]], [100.0, [[]], [[['0', '1', 849957084.0469418]]]], [100.0, [[]], [[['0', '1', 1488713374.2979126]]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]]]]
---- Dynamic scores only :  [[100.0, [[]], [[['0', '1', 909530016.6537323]]]], [100.0, [[]], [[['0', '1', 1571442768.5732193]]]], [100.0, [[]], [[['0', '1', 160293174.72680855]]]], [0.0, [[]], [[['0', '1', 744212954.6214924]]]]]
---- Final_score :  0.0
---- Total execution time: 78.18507599830627 seconds = 1.3030845999717713 mins
+Valitation table computed   [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Interaction table and validation scores of variable 8:  [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]]
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[None, [], []], [None, [], []]]
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- First column of the row  None
+ --- Computing special sum and adding value  None
+ --- Computing special sum and adding value  None
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+--- Only scores and transitions, just to verify :  [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  100.0
+ --- First column of the row  0.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  100.0
+ --- Computing special sum and adding value  0.0
+--- Scores of all interactions [[[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 2117860284.1538737, 2059032868.1833613, -257254751.3490366], [[100.0, [], [['0', '1', 909530016.6537323]]], [100.0, [], [['0', '1', 1571442768.5732193]]], [100.0, [], [['0', '1', 160293174.72680855]]], [0.0, [], [['0', '1', 744212954.6214924]]]]]], [[[0, 1, 2], [1733811287.7068691, 1222548064.6849282, 119745340.11586495], [[100.0, [], [['0', '1', 902738310.5550976]]], [100.0, [], [['0', '1', 205679356.53848076]]], [100.0, [], [['0', '1', 147092070.3520813]]]]], [[0, 1], [-180005885.00946406, 1647810689.3093674], [[None, [], []], [None, [], []]]], [[0, 1], [1134723928.2116597, 896595376.4802388], [[100.0, [], [['0', '1', 475892165.2402096]]], [100.0, [], [['0', '1', 821212747.205761]]]]], [[0, 1], [1029381530.4603151, 950163788.6014193], [[100.0, [], [['0', '1', 236863453.39213562]]], [100.0, [], [['0', '1', 964516414.6029205]]]]], [[0, 1], [820541052.4281183, 1089446792.6365368], [[100.0, [], [['0', '1', 117393424.53722191]]], [100.0, [], [['0', '1', 1398595843.1377754]]]]], [[0, 1], [1016674558.4482847, 955985406.2943314], [[100.0, [], [['0', '1', 667210604.809145]]], [100.0, [], [['0', '1', 619176603.0031662]]]]], [[0, 1], [1338978431.3226755, 686322641.3808259], [[100.0, [], [['0', '1', 200303266.48659706]]], [100.0, [], [['0', '1', 433353673.58312607]]]]], [[0, 1, 2, 3], [-226497336.7441246, 1499703499.1055272, 1497630887.6662815, 788274217.0739172], [[100.0, [['0', '1', -122641322.15002441]], []], [100.0, [], [['0', '1', 2322870144.906433]]], [100.0, [], [['0', '1', 849957084.0469418]]], [100.0, [], [['0', '1', 1488713374.2979126]]]]], [[0, 1, 2, 3], [246154269.9462956, 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+--- Dynamic scores only :  [[100.0, 100.0, 100.0], [None, None], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0, 100.0, 100.0], [100.0, 100.0, 100.0, 0.0], [100.0, 100.0, 100.0], [None, None], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0, 100.0, 100.0], [100.0, 100.0, 100.0, 0.0], [100.0, 100.0, 100.0], [None, None], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0, 100.0, 100.0], [100.0, 100.0, 100.0, 0.0], [100.0, 100.0, 100.0], [None, None], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0, 100.0, 100.0], [100.0, 100.0, 100.0, 0.0], [100.0, 100.0, 100.0], [None, None], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0, 100.0, 100.0], [100.0, 100.0, 100.0, 0.0], [100.0, 100.0, 100.0], [None, None], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0, 100.0, 100.0], [100.0, 100.0, 100.0, 0.0], [100.0, 100.0, 100.0], [None, None], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0, 100.0, 100.0], [100.0, 100.0, 100.0, 0.0], [100.0, 100.0, 100.0], [None, None], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0, 100.0, 100.0], [100.0, 100.0, 100.0, 0.0], [100.0, 100.0, 100.0], [None, None], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0], [100.0, 100.0, 100.0, 100.0], [100.0, 100.0, 100.0, 0.0]]
+--- Final_score :  86.95652173913044
+--- Total execution time: 53.070603370666504 seconds = 0.8845100561777751 mins
diff --git a/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_google__0.89_base_Y/.~lock.linear_coeff_vs_kernel_ridge_margins.csv# b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_google__0.89_base_Y/.~lock.linear_coeff_vs_kernel_ridge_margins.csv#
index b93453b..9647635 100755
--- a/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_google__0.89_base_Y/.~lock.linear_coeff_vs_kernel_ridge_margins.csv#
+++ b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_google__0.89_base_Y/.~lock.linear_coeff_vs_kernel_ridge_margins.csv#
@@ -1 +1 @@
-,DESKTOP-D49H2V3/lavoi,DESKTOP-D49H2V3,29.11.2022 17:20,file:///C:/Users/lavoi/AppData/Roaming/LibreOffice/4;
\ No newline at end of file
+,DESKTOP-D49H2V3/lavoi,DESKTOP-D49H2V3,06.12.2022 17:21,file:///C:/Users/lavoi/AppData/Roaming/LibreOffice/4;
\ No newline at end of file
diff --git a/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_google__0.89_base_Y/.~lock.static_score_plot.png.csv# b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_google__0.89_base_Y/.~lock.static_score_plot.png.csv#
index c1557da..9647635 100755
--- a/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_google__0.89_base_Y/.~lock.static_score_plot.png.csv#
+++ b/kernel_ridge_linear_model/marginal_effect_exploration_automatic_experiments_google__0.89_base_Y/.~lock.static_score_plot.png.csv#
@@ -1 +1 @@
-,DESKTOP-D49H2V3/lavoi,DESKTOP-D49H2V3,05.12.2022 15:59,file:///C:/Users/lavoi/AppData/Roaming/LibreOffice/4;
\ No newline at end of file
+,DESKTOP-D49H2V3/lavoi,DESKTOP-D49H2V3,06.12.2022 17:21,file:///C:/Users/lavoi/AppData/Roaming/LibreOffice/4;
\ No newline at end of file
-- 
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