diff --git a/lib/erosion_model.py b/lib/erosion_model.py
index 152ebaf8b7da2c6a1832175671a99d7d34e76c4b..935737ac8d238632f302912a52d16f286cf576dc 100644
--- a/lib/erosion_model.py
+++ b/lib/erosion_model.py
@@ -15,7 +15,7 @@ import networkx as nx
 import numpy as np
 float_epsilon = np.finfo(float).eps
 
-VERBOSE = True
+VERBOSE = False
 def log(x):
     if VERBOSE:
         print(x)
@@ -43,7 +43,6 @@ class ErosionModel():
         old_probs = dict(self.probs_df["hash_ p_{0}".format(self.nb_of_erosion - 1).split()].values)
 
         auc_sbm, auc_spatial = get_auc_heuristics(self.H, 60)
-        print(auc_spatial,auc_sbm)
         edges = get_all_possible_edges(self.H)
         if auc_sbm > auc_spatial:
             probs = stochastic_block_model(self.H, edges)
@@ -65,7 +64,6 @@ class ErosionModel():
             [(1 / self.H.size()) - ((probs_dom[ix]*sum_prob_dom)/sum_prob_dom_H) for ix, ed in enumerate(edges) if self.H.has_edge(*ed)])
         hhh[hhh < 0] = 0
         new_nb_edges = hhh.sum() * self.H.size()
-        #print(hhh)
 
         probs_erosion = np.asarray([old_probs[hash_func(ed)] - probs_dom[ix] for ix, ed in enumerate(edges)])
         probs_erosion[probs_erosion <= 0] = float_epsilon