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New tests PPLR

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testPPLR-2019-04-12-21:58:01-ClassOutput.txt 0 → 100644
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testPPLR-2019-04-12-21:58:01-Config.txt 0 → 100644
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View file @ dad1633e
# Experiments parameters
perf{
testBuildingBlocks="false";
PrivacyPreservation="false";
MLAlgorithm="lr";
runs_number ="1";
thread_number="14";
remoteClient="false";
Incremental="true";
OutputPath="/root/PPLR/";
scenarioName ="testPPLR";
debug="false";
maxTrainSize="20";
maxTestSize="50";
}
# The dataset configuration parameters
dataset{
mainPath = "/root/DAPPLE/";
path="/root/DAPPLE/DATA/Datasets/Bank/LR/";
clearPath= "/root/DAPPLE/DATA/Datasets/Bank/LR/";
chunk_prefix="DO";
class_number="2";
dimension="17";
chunk_number="16";
}
# The vfdt algorithm parameters
vfdt{
delta="0.000001";
tau="1";
grace="50";
max_depth="8";
threshold_number="2";
maxNodes="45";
}
# DTPKC parameters
crypto{
deserialize="false";
pathSer="/root/DAPPLE/SER/";
keySize ="1024";
DTPKC_Err = "600";
ComputationalPrecision="1000";
useORE="false";
sendParaClient="true";
blindingSize="100";
encryptData="true";
}
# Naive Bayes parameters
nb{
LaplaceConstant="1";
}
#LR parameters
lr{
alpha="10";
LRTH="0.5";
batchSize="5";
epochs="1";
}
# Network parameters
network{
portS="5001";
serverIP="10.144.4.7";
}
testPPLR-2019-04-12-21:58:01-Stats.csv 0 → 100644
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View file @ dad1633e
--------Run@1 over : 1---------
TrainTime,TrainBd,TestServerTime,TestClientTime,TestBd,P,R,F1
5.159321,6800,313.243236,0.000000,25600,0.500000,0.425000,0.459459
9.636183,13600,310.915907,0.000000,25600,0.541176,0.680412,0.542125
42.258249,20400,304.429851,0.000000,25600,0.498529,0.424812,0.458728
92.442891,27200,282.952625,0.000000,25600,0.639706,0.598361,0.382774
90.340407,34000,337.655336,0.000000,25600,0.522059,0.727848,0.506018
119.291850,40800,287.943427,0.000000,25600,0.522059,0.727848,0.506018
114.009317,47600,303.749580,0.000000,25600,0.550980,0.723368,0.557387
168.527238,54400,317.166683,0.000000,25600,0.774510,0.774510,0.774510
173.394386,61200,321.578181,0.000000,25600,0.657353,0.765048,0.689739
191.876921,68000,276.322558,0.000000,25600,0.617647,0.815789,0.652778
199.183785,74800,310.839532,0.000000,25600,0.522059,0.727848,0.506018
232.760433,81600,287.616251,0.000000,25600,0.641667,0.715174,0.665645
258.676413,88400,292.420934,0.000000,25600,0.617647,0.815789,0.652778
278.890744,95200,290.445079,0.000000,25600,0.912745,0.770184,0.809965
304.726895,102000,345.203760,0.000000,25600,0.753922,0.777243,0.764718
328.038839,108800,317.095621,0.000000,25600,0.897549,0.765111,0.803527
testPPLR-2019-04-12-21:58:17-ClassOutput.txt 0 → 100644
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testPPLR-2019-04-12-21:58:17-Config.txt 0 → 100644
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View file @ dad1633e
# Experiments parameters
perf{
testBuildingBlocks="false";
PrivacyPreservation="false";
MLAlgorithm="lr";
runs_number ="1";
thread_number="14";
remoteClient="false";
Incremental="true";
OutputPath="/root/PPLR/";
scenarioName ="testPPLR";
debug="false";
maxTrainSize="20";
maxTestSize="50";
}
# The dataset configuration parameters
dataset{
mainPath = "/root/DAPPLE/";
path="/root/DAPPLE/DATA/Datasets/Bank/LR/";
clearPath= "/root/DAPPLE/DATA/Datasets/Bank/LR/";
chunk_prefix="DO";
class_number="2";
dimension="17";
chunk_number="16";
}
# The vfdt algorithm parameters
vfdt{
delta="0.000001";
tau="1";
grace="50";
max_depth="8";
threshold_number="2";
maxNodes="45";
}
# DTPKC parameters
crypto{
deserialize="false";
pathSer="/root/DAPPLE/SER/";
keySize ="1024";
DTPKC_Err = "600";
ComputationalPrecision="1000";
useORE="false";
sendParaClient="true";
blindingSize="100";
encryptData="true";
}
# Naive Bayes parameters
nb{
LaplaceConstant="1";
}
#LR parameters
lr{
alpha="10";
LRTH="0.5";
batchSize="5";
epochs="1";
}
# Network parameters
network{
portS="5001";
serverIP="10.144.4.7";
}
testPPLR-2019-04-12-21:58:17-Stats.csv 0 → 100644
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--------Run@1 over : 1---------
TrainTime,TrainBd,TestServerTime,TestClientTime,TestBd,P,R,F1
4.816326,6800,323.716827,0.000000,25600,0.500000,0.425000,0.459459
11.827403,13600,309.448217,0.000000,25600,0.541176,0.680412,0.542125
43.362184,20400,310.179527,0.000000,25600,0.498529,0.424812,0.458728
49.016885,27200,304.338891,0.000000,25600,0.639706,0.598361,0.382774
79.269828,34000,320.951529,0.000000,25600,0.522059,0.727848,0.506018
119.820844,40800,301.552352,0.000000,25600,0.522059,0.727848,0.506018
130.356527,47600,324.549259,0.000000,25600,0.550980,0.723368,0.557387
156.552744,54400,280.771099,0.000000,25600,0.774510,0.774510,0.774510
154.487676,61200,296.953668,0.000000,25600,0.657353,0.765048,0.689739
176.019734,68000,258.028974,0.000000,25600,0.617647,0.815789,0.652778
189.280366,74800,294.333503,0.000000,25600,0.522059,0.727848,0.506018
238.560355,81600,277.440627,0.000000,25600,0.641667,0.715174,0.665645
232.314980,88400,299.891600,0.000000,25600,0.617647,0.815789,0.652778
256.019052,95200,268.919770,0.000000,25600,0.912745,0.770184,0.809965
280.462743,102000,318.802498,0.000000,25600,0.753922,0.777243,0.764718
309.614997,108800,281.736579,0.000000,25600,0.897549,0.765111,0.803527
testPPLR-2019-04-12-21:58:31-ClassOutput.txt 0 → 100644
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testPPLR-2019-04-12-21:58:31-Config.txt 0 → 100644
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View file @ dad1633e
# Experiments parameters
perf{
testBuildingBlocks="false";
PrivacyPreservation="false";
MLAlgorithm="lr";
runs_number ="1";
thread_number="14";
remoteClient="false";
Incremental="true";
OutputPath="/root/PPLR/";
scenarioName ="testPPLR";
debug="false";
maxTrainSize="20";
maxTestSize="50";
}
# The dataset configuration parameters
dataset{
mainPath = "/root/DAPPLE/";
path="/root/DAPPLE/DATA/Datasets/Bank/LR/";
clearPath= "/root/DAPPLE/DATA/Datasets/Bank/LR/";
chunk_prefix="DO";
class_number="2";
dimension="17";
chunk_number="16";
}
# The vfdt algorithm parameters
vfdt{
delta="0.000001";
tau="1";
grace="50";
max_depth="8";
threshold_number="2";
maxNodes="45";
}
# DTPKC parameters
crypto{
deserialize="false";
pathSer="/root/DAPPLE/SER/";
keySize ="1024";
DTPKC_Err = "600";
ComputationalPrecision="1000";
useORE="false";
sendParaClient="true";
blindingSize="100";
encryptData="true";
}
# Naive Bayes parameters
nb{
LaplaceConstant="1";
}
#LR parameters
lr{
alpha="10";
LRTH="0.5";
batchSize="5";
epochs="1";
}
# Network parameters
network{
portS="5001";
serverIP="10.144.4.7";
}
testPPLR-2019-04-12-21:58:31-Stats.csv 0 → 100644
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View file @ dad1633e
--------Run@1 over : 1---------
TrainTime,TrainBd,TestServerTime,TestClientTime,TestBd,P,R,F1
7.515233,6800,311.159577,0.000000,25600,0.500000,0.425000,0.459459
9.279308,13600,298.055558,0.000000,25600,0.541176,0.680412,0.542125
45.654292,20400,318.939393,0.000000,25600,0.498529,0.424812,0.458728
80.132547,27200,317.159265,0.000000,25600,0.639706,0.598361,0.382774
84.485044,34000,318.391817,0.000000,25600,0.522059,0.727848,0.506018
134.574437,40800,361.458048,0.000000,25600,0.522059,0.727848,0.506018
128.960664,47600,319.426660,0.000000,25600,0.550980,0.723368,0.557387
161.590761,54400,273.190753,0.000000,25600,0.774510,0.774510,0.774510
163.598979,61200,324.746545,0.000000,25600,0.657353,0.765048,0.689739
200.627431,68000,274.610476,0.000000,25600,0.617647,0.815789,0.652778
200.473413,74800,312.161617,0.000000,25600,0.522059,0.727848,0.506018
234.177592,81600,292.233353,0.000000,25600,0.641667,0.715174,0.665645
242.658886,88400,326.224239,0.000000,25600,0.617647,0.815789,0.652778
287.289867,95200,286.237467,0.000000,25600,0.912745,0.770184,0.809965
293.220830,102000,321.356879,0.000000,25600,0.753922,0.777243,0.764718
271.460818,108800,347.685451,0.000000,25600,0.897549,0.765111,0.803527
testPPLR-2019-04-12-21:58:45-ClassOutput.txt 0 → 100644
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View file @ dad1633e
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testPPLR-2019-04-12-21:58:45-Config.txt 0 → 100644
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# Experiments parameters
perf{
testBuildingBlocks="false";
PrivacyPreservation="false";
MLAlgorithm="lr";
runs_number ="1";
thread_number="14";
remoteClient="false";
Incremental="true";
OutputPath="/root/PPLR/";
scenarioName ="testPPLR";
debug="false";
maxTrainSize="20";
maxTestSize="50";
}
# The dataset configuration parameters
dataset{
mainPath = "/root/DAPPLE/";
path="/root/DAPPLE/DATA/Datasets/Bank/LR/";
clearPath= "/root/DAPPLE/DATA/Datasets/Bank/LR/";
chunk_prefix="DO";
class_number="2";
dimension="17";
chunk_number="16";
}
# The vfdt algorithm parameters
vfdt{
delta="0.000001";
tau="1";
grace="50";
max_depth="8";
threshold_number="2";
maxNodes="45";
}
# DTPKC parameters
crypto{
deserialize="false";
pathSer="/root/DAPPLE/SER/";
keySize ="1024";
DTPKC_Err = "600";
ComputationalPrecision="1000";
useORE="false";
sendParaClient="true";
blindingSize="100";
encryptData="true";
}
# Naive Bayes parameters
nb{
LaplaceConstant="1";
}
#LR parameters
lr{
alpha="10";
LRTH="0.5";
batchSize="5";
epochs="1";
}
# Network parameters
network{
portS="5001";
serverIP="10.144.4.7";
}
testPPLR-2019-04-12-21:58:45-Stats.csv 0 → 100644
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--------Run@1 over : 1---------
TrainTime,TrainBd,TestServerTime,TestClientTime,TestBd,P,R,F1
5.869552,6800,353.415550,0.000000,25600,0.500000,0.425000,0.459459
10.155562,13600,314.842671,0.000000,25600,0.541176,0.680412,0.542125
45.113461,20400,321.485855,0.000000,25600,0.498529,0.424812,0.458728
50.847022,27200,322.152031,0.000000,25600,0.639706,0.598361,0.382774
85.014929,34000,322.481617,0.000000,25600,0.522059,0.727848,0.506018
119.712734,40800,290.876950,0.000000,25600,0.522059,0.727848,0.506018
128.013756,47600,324.733201,0.000000,25600,0.550980,0.723368,0.557387
163.056074,54400,283.890998,0.000000,25600,0.774510,0.774510,0.774510
163.222939,61200,309.968877,0.000000,25600,0.657353,0.765048,0.689739
199.089380,68000,291.774101,0.000000,25600,0.617647,0.815789,0.652778
209.246252,74800,329.384150,0.000000,25600,0.522059,0.727848,0.506018
240.656072,81600,290.923172,0.000000,25600,0.641667,0.715174,0.665645
247.108406,88400,326.230452,0.000000,25600,0.617647,0.815789,0.652778
276.999788,95200,271.480892,0.000000,25600,0.912745,0.770184,0.809965
288.191597,102000,389.276918,0.000000,25600,0.753922,0.777243,0.764718
468.352230,108800,385.868256,0.000000,25600,0.897549,0.765111,0.803527
testPPLR-2019-04-12-21:58:59-ClassOutput.txt 0 → 100644
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testPPLR-2019-04-12-21:58:59-Config.txt 0 → 100644
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# Experiments parameters
perf{
testBuildingBlocks="false";
PrivacyPreservation="false";
MLAlgorithm="lr";
runs_number ="1";
thread_number="14";
remoteClient="false";
Incremental="true";
OutputPath="/root/PPLR/";
scenarioName ="testPPLR";
debug="false";
maxTrainSize="20";
maxTestSize="50";
}
# The dataset configuration parameters
dataset{
mainPath = "/root/DAPPLE/";
path="/root/DAPPLE/DATA/Datasets/Bank/LR/";
clearPath= "/root/DAPPLE/DATA/Datasets/Bank/LR/";
chunk_prefix="DO";
class_number="2";
dimension="17";
chunk_number="16";
}
# The vfdt algorithm parameters
vfdt{
delta="0.000001";
tau="1";
grace="50";
max_depth="8";
threshold_number="2";
maxNodes="45";
}
# DTPKC parameters
crypto{
deserialize="false";
pathSer="/root/DAPPLE/SER/";
keySize ="1024";
DTPKC_Err = "600";
ComputationalPrecision="1000";
useORE="false";
sendParaClient="true";
blindingSize="100";
encryptData="true";
}
# Naive Bayes parameters
nb{
LaplaceConstant="1";
}
#LR parameters
lr{
alpha="10";
LRTH="0.5";
batchSize="5";
epochs="1";
}
# Network parameters
network{
portS="5001";
serverIP="10.144.4.7";
}
testPPLR-2019-04-12-21:58:59-Stats.csv 0 → 100644
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− 0
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--------Run@1 over : 1---------
TrainTime,TrainBd,TestServerTime,TestClientTime,TestBd,P,R,F1
5.560789,6800,433.101331,0.000000,25600,0.500000,0.425000,0.459459
66.422099,13600,436.896433,0.000000,25600,0.541176,0.680412,0.542125
100.676405,20400,452.261505,0.000000,25600,0.498529,0.424812,0.458728
91.115215,27200,364.848222,0.000000,25600,0.639706,0.598361,0.382774
143.028661,34000,404.574030,0.000000,25600,0.522059,0.727848,0.506018
162.799142,40800,339.524533,0.000000,25600,0.522059,0.727848,0.506018
195.159762,47600,373.012564,0.000000,25600,0.550980,0.723368,0.557387
232.250512,54400,388.217511,0.000000,25600,0.774510,0.774510,0.774510
257.131989,61200,366.393295,0.000000,25600,0.657353,0.765048,0.689739
277.752116,68000,375.098132,0.000000,25600,0.617647,0.815789,0.652778
304.198750,74800,384.169391,0.000000,25600,0.522059,0.727848,0.506018
336.689352,81600,387.612268,0.000000,25600,0.641667,0.715174,0.665645
373.676611,88400,375.451207,0.000000,25600,0.617647,0.815789,0.652778
378.130395,95200,348.333089,0.000000,25600,0.912745,0.770184,0.809965
424.733728,102000,370.138641,0.000000,25600,0.753922,0.777243,0.764718
469.889304,108800,388.382647,0.000000,25600,0.897549,0.765111,0.803527
testPPLR-2019-04-12-21:59:15-ClassOutput.txt 0 → 100644
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testPPLR-2019-04-12-21:59:15-Stats.csv 0 → 100644
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--------Run@1 over : 1---------
TrainTime,TrainBd,TestServerTime,TestClientTime,TestBd,P,R,F1
4.481487,6800,309.883287,0.000000,25600,0.500000,0.425000,0.459459
9.516876,13600,308.502567,0.000000,25600,0.541176,0.680412,0.542125
78.305097,20400,409.953422,0.000000,25600,0.498529,0.424812,0.458728
107.036310,27200,349.947689,0.000000,25600,0.639706,0.598361,0.382774
139.232681,34000,346.477045,0.000000,25600,0.522059,0.727848,0.506018
162.516510,40800,344.753754,0.000000,25600,0.522059,0.727848,0.506018
190.306598,47600,370.597120,0.000000,25600,0.550980,0.723368,0.557387
216.525136,54400,376.174205,0.000000,25600,0.774510,0.774510,0.774510
265.614277,61200,376.089101,0.000000,25600,0.657353,0.765048,0.689739
265.022860,68000,337.645486,0.000000,25600,0.617647,0.815789,0.652778
319.377191,74800,380.080200,0.000000,25600,0.522059,0.727848,0.506018
340.646373,81600,376.185340,0.000000,25600,0.641667,0.715174,0.665645
359.621798,88400,376.407765,0.000000,25600,0.617647,0.815789,0.652778
478.932990,95200,382.904939,0.000000,25600,0.912745,0.770184,0.809965
448.477769,102000,388.401259,0.000000,25600,0.753922,0.777243,0.764718
497.344798,108800,439.345973,0.000000,25600,0.897549,0.765111,0.803527
testPPLR-2019-04-12-21:59:32-ClassOutput.txt 0 → 100644
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