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Done bulk of part 8

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Claudio Maggioni 2023-05-22 22:09:00 +02:00
parent a23ca35853
commit 611ca157b5
4 changed files with 224 additions and 103 deletions
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56
evaluate_classifiers.py
View file

@ -2,6 +2,9 @@
import os import os
import pandas as pd import pandas as pd
import glob import glob
import re
import itertools
import numpy as np
from train_classifiers import perform_grid_search, load_dataset from train_classifiers import perform_grid_search, load_dataset
from sklearn.neural_network import MLPClassifier from sklearn.neural_network import MLPClassifier
@ -9,6 +12,9 @@ from sklearn.naive_bayes import GaussianNB
from sklearn.svm import SVC from sklearn.svm import SVC
from sklearn.tree import DecisionTreeClassifier from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier from sklearn.ensemble import RandomForestClassifier
from sklearn.base import BaseEstimator, ClassifierMixin
from scipy.stats import wilcoxon
DIR: str = os.path.dirname(os.path.realpath(__file__)) DIR: str = os.path.dirname(os.path.realpath(__file__))
OUT_DIR: str = DIR + '/models' OUT_DIR: str = DIR + '/models'
@ -37,6 +43,20 @@ RANDOM_STATES: list[int] = [
] ]
class BiasedClassifier(BaseEstimator, ClassifierMixin):
def __init__(self, to_return=None):
self.to_return = to_return
def fit(self, X, y=None):
pass
def predict(self, X, y=None):
return np.array([self.to_return] * len(X))
def predict_proba(self, X, y=None):
return np.array([self.to_return] * len(X))
def clean_output(): def clean_output():
filelist = glob.glob(OUT_DIR + '/models.csv') filelist = glob.glob(OUT_DIR + '/models.csv')
for f in filelist: for f in filelist:
@ -65,6 +85,7 @@ def main():
df_best.loc[:, 'classifier'] = df_best['classifier'].apply(lambda x: string_to_classifier[x]) df_best.loc[:, 'classifier'] = df_best['classifier'].apply(lambda x: string_to_classifier[x])
df_best.loc[:, 'params'] = df_best['params'].apply(lambda x: eval(x)) df_best.loc[:, 'params'] = df_best['params'].apply(lambda x: eval(x))
classifiers = [(e['classifier'], unit_grid(e['params'])) for e in df_best.to_dict('records')] classifiers = [(e['classifier'], unit_grid(e['params'])) for e in df_best.to_dict('records')]
classifiers.append((BiasedClassifier(), { 'to_return': [1] }), )
dfs: list[pd.DataFrame] = [] dfs: list[pd.DataFrame] = []
@ -78,7 +99,40 @@ def main():
else: else:
df = pd.read_csv(OUT_DIR + '/evaluation.csv') df = pd.read_csv(OUT_DIR + '/evaluation.csv')
# TODO: statistical analysis metrics_columns = list(df.filter(regex='^split\d_test'))
df = pd.melt(df, id_vars=['classifier'], value_vars=metrics_columns, var_name="metric")
df.loc[:, 'metric'] = df['metric'].apply(lambda x: re.sub('split\d_test_', '', x))
classifier_list = df['classifier'].unique()
metric_list = df['metric'].unique()
df_stats = pd.DataFrame(columns=['classifier_a', 'classifier_b', 'metric', 'pvalue'])
i = 1
for classifier_a in classifier_list:
for classifier_b in classifier_list:
if classifier_a >= classifier_b:
continue
for metric in metric_list:
if metric == 'accuracy':
continue
series_a = list(df.loc[(df['classifier'] == classifier_a) & \
(df['metric'] == metric), 'value'])
series_b = list(df.loc[(df['classifier'] == classifier_b) & \
(df['metric'] == metric), 'value'])
df_stats.loc[i, 'classifier_a'] = classifier_a
df_stats.loc[i, 'classifier_b'] = classifier_b
df_stats.loc[i, 'metric'] = metric
df_stats.loc[i, 'pvalue'] = wilcoxon(series_a, series_b).pvalue
i += 1
df_stats.to_csv(OUT_DIR + '/model_stats.csv')
print(df_stats)
if __name__ == '__main__': if __name__ == '__main__':

222
models/evaluation.csv
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@ -1,101 +1,121 @@
mean_fit_time,std_fit_time,mean_score_time,std_score_time,param_criterion,param_splitter,params,split0_test_precision,split1_test_precision,split2_test_precision,split3_test_precision,split4_test_precision,mean_test_precision,std_test_precision,rank_test_precision,split0_test_accuracy,split1_test_accuracy,split2_test_accuracy,split3_test_accuracy,split4_test_accuracy,mean_test_accuracy,std_test_accuracy,rank_test_accuracy,split0_test_recall,split1_test_recall,split2_test_recall,split3_test_recall,split4_test_recall,mean_test_recall,std_test_recall,rank_test_recall,split0_test_f1,split1_test_f1,split2_test_f1,split3_test_f1,split4_test_f1,mean_test_f1,std_test_f1,rank_test_f1,classifier,param_activation,param_hidden_layer_sizes,param_learning_rate,param_max_iter,param_solver,param_class_weight,param_max_features,param_gamma,param_kernel mean_fit_time,std_fit_time,mean_score_time,std_score_time,param_criterion,param_splitter,params,split0_test_precision,split1_test_precision,split2_test_precision,split3_test_precision,split4_test_precision,mean_test_precision,std_test_precision,rank_test_precision,split0_test_accuracy,split1_test_accuracy,split2_test_accuracy,split3_test_accuracy,split4_test_accuracy,mean_test_accuracy,std_test_accuracy,rank_test_accuracy,split0_test_recall,split1_test_recall,split2_test_recall,split3_test_recall,split4_test_recall,mean_test_recall,std_test_recall,rank_test_recall,split0_test_f1,split1_test_f1,split2_test_f1,split3_test_f1,split4_test_f1,mean_test_f1,std_test_f1,rank_test_f1,classifier,param_activation,param_hidden_layer_sizes,param_learning_rate,param_max_iter,param_solver,param_class_weight,param_max_features,param_gamma,param_kernel,param_to_return
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0.8683316230773925,0.0859394739172999,0.004524374008178711,0.0003576277923583903,,,"{'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'}",0.7924528301886793,0.8085106382978723,0.82,0.9166666666666666,0.7818181818181819,0.8238896633942799,0.048202697589338095,1,0.8620689655172413,0.8390804597701149,0.8735632183908046,0.9540229885057471,0.8505747126436781,0.8758620689655172,0.04073573596935482,1,0.9767441860465116,0.8837209302325582,0.9534883720930233,1.0,0.9772727272727273,0.9582452431289641,0.04006049624755327,1,0.875,0.8444444444444444,0.8817204301075269,0.9565217391304348,0.8686868686868686,0.885274696473855,0.03777991211164225,1,MLPClassifier,logistic,"(60, 80, 100)",constant,500000,lbfgs,,,, 1.310411024093628,0.3313412936813181,0.004386615753173828,0.000617457196577433,,,"{'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'}",0.7962962962962963,0.8085106382978723,0.7924528301886793,0.9148936170212766,0.7719298245614035,0.8168166412731056,0.050433300547092344,1,0.8735632183908046,0.8390804597701149,0.8620689655172413,0.9425287356321839,0.8505747126436781,0.8735632183908045,0.03634801908239516,1,1.0,0.8837209302325582,0.9767441860465116,0.9772727272727273,1.0,0.9675475687103594,0.04315641873741724,1,0.8865979381443299,0.8444444444444444,0.875,0.945054945054945,0.8712871287128713,0.8844768912713181,0.03328836897029522,1,MLPClassifier,logistic,"(60, 80, 100)",constant,500000,lbfgs,,,,,
0.15126414299011232,0.01811107239857173,0.013306856155395508,0.002210692523930667,gini,,"{'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'}",0.8076923076923077,0.8837209302325582,0.8571428571428571,0.8979591836734694,0.8113207547169812,0.8515672066916349,0.036774852827802504,1,0.8735632183908046,0.8850574712643678,0.9080459770114943,0.9425287356321839,0.8735632183908046,0.8965517241379312,0.02621092931262383,1,0.9767441860465116,0.8837209302325582,0.9767441860465116,1.0,0.9772727272727273,0.9628964059196617,0.040584808213141546,1,0.8842105263157894,0.8837209302325582,0.9130434782608695,0.9462365591397849,0.88659793814433,0.9027618864186664,0.024346426830158686,1,RandomForestClassifier,,,,,,balanced,sqrt,, 0.17238092422485352,0.022403166733080074,0.01240386962890625,0.001147519995702171,gini,,"{'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'}",0.8076923076923077,0.9069767441860465,0.84,0.88,0.8148148148148148,0.8498967733386337,0.03814245452050048,1,0.8735632183908046,0.9080459770114943,0.896551724137931,0.9310344827586207,0.8850574712643678,0.8988505747126437,0.019775460384006016,1,0.9767441860465116,0.9069767441860465,0.9767441860465116,1.0,1.0,0.9720930232558139,0.03417892664348623,1,0.8842105263157894,0.9069767441860465,0.9032258064516129,0.9361702127659575,0.8979591836734693,0.9057084946785752,0.017075730914147384,1,RandomForestClassifier,,,,,,balanced,sqrt,,,
0.004443168640136719,0.0003713448777735096,0.005470561981201172,0.0002904982371310523,,,"{'gamma': 'scale', 'kernel': 'rbf'}",0.717391304347826,0.8064516129032258,0.6818181818181818,0.8421052631578947,0.725,0.7545532724454256,0.059839100951909266,1,0.735632183908046,0.7241379310344828,0.6896551724137931,0.7931034482758621,0.7011494252873564,0.728735632183908,0.03605606239392671,1,0.7674418604651163,0.5813953488372093,0.6976744186046512,0.7272727272727273,0.6590909090909091,0.6865750528541227,0.06346193424695262,1,0.7415730337078652,0.6756756756756758,0.6896551724137931,0.7804878048780488,0.6904761904761905,0.7155735754303147,0.03945456568462695,1,SVC,,,,,,,,scale,rbf 0.006538248062133789,0.0004504782516144641,0.009292316436767579,0.0022072603975237647,,,"{'gamma': 'scale', 'kernel': 'rbf'}",0.717391304347826,0.8064516129032258,0.6818181818181818,0.8421052631578947,0.725,0.7545532724454256,0.059839100951909266,1,0.735632183908046,0.7241379310344828,0.6896551724137931,0.7931034482758621,0.7011494252873564,0.728735632183908,0.03605606239392671,1,0.7674418604651163,0.5813953488372093,0.6976744186046512,0.7272727272727273,0.6590909090909091,0.6865750528541227,0.06346193424695262,1,0.7415730337078652,0.6756756756756758,0.6896551724137931,0.7804878048780488,0.6904761904761905,0.7155735754303147,0.03945456568462695,1,SVC,,,,,,,,scale,rbf,
0.0019789695739746093,0.00015863653469972515,0.0042498111724853516,0.00023481695648380676,gini,best,"{'criterion': 'gini', 'splitter': 'best'}",0.8571428571428571,0.8723404255319149,0.8541666666666666,0.8333333333333334,0.8367346938775511,0.8507435953104647,0.014272053717617132,1,0.896551724137931,0.896551724137931,0.8850574712643678,0.8620689655172413,0.8735632183908046,0.8827586206896552,0.013404487114586916,1,0.9545454545454546,0.9318181818181818,0.9318181818181818,0.9090909090909091,0.9318181818181818,0.9318181818181819,0.014373989364401745,1,0.9032258064516128,0.9010989010989012,0.8913043478260869,0.8695652173913043,0.8817204301075268,0.8893829405750864,0.012522273686114336,1,DecisionTreeClassifier,,,,,,,,, 0.00013699531555175782,3.0689055760546595e-05,0.012158870697021484,0.0042352282228720825,,,{'to_return': 1},0.4942528735632184,0.4942528735632184,0.4942528735632184,0.5057471264367817,0.5057471264367817,0.4988505747126437,0.005631010902949855,1,0.4942528735632184,0.4942528735632184,0.4942528735632184,0.5057471264367817,0.5057471264367817,0.4988505747126437,0.005631010902949855,1,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1,0.6615384615384615,0.6615384615384615,0.6615384615384615,0.6717557251908397,0.6717557251908397,0.6656253669994129,0.005005416503162351,1,BiasedClassifier,,,,,,,,,,1
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7.4005126953125e-05,2.7828667567090748e-06,0.004036712646484375,0.00016477490067278447,,,{'to_return': 1},0.4942528735632184,0.4942528735632184,0.4942528735632184,0.5057471264367817,0.5057471264367817,0.4988505747126437,0.005631010902949855,1,0.4942528735632184,0.4942528735632184,0.4942528735632184,0.5057471264367817,0.5057471264367817,0.4988505747126437,0.005631010902949855,1,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1,0.6615384615384615,0.6615384615384615,0.6615384615384615,0.6717557251908397,0.6717557251908397,0.6656253669994129,0.005005416503162351,1,BiasedClassifier,,,,,,,,,,1
0.0018951892852783203,8.00446129539477e-05,0.004139852523803711,0.00016271933705261097,gini,best,"{'criterion': 'gini', 'splitter': 'best'}",0.8,0.8,0.7636363636363637,0.8297872340425532,0.8571428571428571,0.8101132909643548,0.031507161767741265,1,0.8735632183908046,0.8505747126436781,0.8275862068965517,0.8620689655172413,0.896551724137931,0.8620689655172413,0.022988505747126454,1,1.0,0.9302325581395349,0.9545454545454546,0.9069767441860465,0.9545454545454546,0.9492600422832981,0.030920339343146964,1,0.888888888888889,0.8602150537634408,0.8484848484848485,0.8666666666666666,0.9032258064516128,0.8734962528510917,0.019846326846579894,1,DecisionTreeClassifier,,,,,,,,,,
0.0011829853057861329,0.00017642217052784282,0.004505681991577149,0.00041280835182465797,,,{},0.8695652173913043,0.8333333333333334,0.8636363636363636,0.76,0.8571428571428571,0.8367355543007717,0.04029347027048997,1,0.6896551724137931,0.6896551724137931,0.6781609195402298,0.6551724137931034,0.6091954022988506,0.664367816091954,0.030323921743156134,1,0.45454545454545453,0.46511627906976744,0.4318181818181818,0.4418604651162791,0.2727272727272727,0.4132135306553911,0.07114125637203969,1,0.5970149253731344,0.5970149253731343,0.5757575757575758,0.5588235294117647,0.41379310344827586,0.548480811872777,0.06885185952651231,1,GaussianNB,,,,,,,,,,
1.1361024379730225,0.159419282040439,0.00465998649597168,0.00041844547523993013,,,"{'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'}",0.7857142857142857,0.8297872340425532,0.7884615384615384,0.75,0.8888888888888888,0.8085703894214532,0.04745202573749175,1,0.8620689655172413,0.8620689655172413,0.8390804597701149,0.8045977011494253,0.896551724137931,0.8528735632183908,0.03032392174315613,1,1.0,0.9069767441860465,0.9318181818181818,0.9069767441860465,0.9090909090909091,0.9309725158562367,0.035765647062131915,1,0.88,0.8666666666666666,0.8541666666666667,0.8210526315789475,0.8988764044943819,0.8641524738813324,0.026155417637202708,1,MLPClassifier,logistic,"(60, 80, 100)",constant,500000,lbfgs,,,,,
0.2012843132019043,0.003481437204419735,0.012103986740112305,0.0006385231718857603,gini,,"{'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'}",0.8,0.8297872340425532,0.8775510204081632,0.851063829787234,0.851063829787234,0.8418931828050369,0.025850631232723163,1,0.8735632183908046,0.8620689655172413,0.9195402298850575,0.8850574712643678,0.8735632183908046,0.8827586206896552,0.019775460384006037,1,1.0,0.9069767441860465,0.9772727272727273,0.9302325581395349,0.9090909090909091,0.9447145877378436,0.03746846609226435,1,0.888888888888889,0.8666666666666666,0.9247311827956989,0.888888888888889,0.8791208791208791,0.8896593012722045,0.019343957876412386,1,RandomForestClassifier,,,,,,balanced,sqrt,,,
0.004258394241333008,0.0002193918903849466,0.005930662155151367,0.0003742918078827082,,,"{'gamma': 'scale', 'kernel': 'rbf'}",0.75,0.7435897435897436,0.8222222222222222,0.6739130434782609,0.8055555555555556,0.7590561129691563,0.05238839483175277,1,0.7701149425287356,0.7241379310344828,0.8275862068965517,0.6896551724137931,0.7471264367816092,0.7517241379310345,0.046320555585310064,1,0.8181818181818182,0.6744186046511628,0.8409090909090909,0.7209302325581395,0.6590909090909091,0.7427061310782241,0.07412055319973548,1,0.7826086956521738,0.7073170731707318,0.8314606741573033,0.6966292134831461,0.7250000000000001,0.748603131292671,0.050960151788453534,1,SVC,,,,,,,,scale,rbf,
7.4005126953125e-05,2.5793320343586964e-06,0.004357624053955078,0.0004015861681529256,,,{'to_return': 1},0.5057471264367817,0.4942528735632184,0.5057471264367817,0.4942528735632184,0.5057471264367817,0.5011494252873563,0.005631010902949855,1,0.5057471264367817,0.4942528735632184,0.5057471264367817,0.4942528735632184,0.5057471264367817,0.5011494252873563,0.005631010902949855,1,1.0,1.0,1.0,1.0,1.0,1.0,0.0,1,0.6717557251908397,0.6615384615384615,0.6717557251908397,0.6615384615384615,0.6717557251908397,0.6676688197298883,0.00500541650316235,1,BiasedClassifier,,,,,,,,,,1

1 mean_fit_time std_fit_time mean_score_time std_score_time param_criterion param_splitter params split0_test_precision split1_test_precision split2_test_precision split3_test_precision split4_test_precision mean_test_precision std_test_precision rank_test_precision split0_test_accuracy split1_test_accuracy split2_test_accuracy split3_test_accuracy split4_test_accuracy mean_test_accuracy std_test_accuracy rank_test_accuracy split0_test_recall split1_test_recall split2_test_recall split3_test_recall split4_test_recall mean_test_recall std_test_recall rank_test_recall split0_test_f1 split1_test_f1 split2_test_f1 split3_test_f1 split4_test_f1 mean_test_f1 std_test_f1 rank_test_f1 classifier param_activation param_hidden_layer_sizes param_learning_rate param_max_iter param_solver param_class_weight param_max_features param_gamma param_kernel param_to_return
2 0.0021428585052490233 0.001976490020751953 0.00020663926272374776 0.00010017382944249402 0.004525613784790039 0.0041100502014160155 0.00020776142457162384 0.00020298226930069274 gini best {'criterion': 'gini', 'splitter': 'best'} 0.7884615384615384 0.7692307692307693 0.8863636363636364 0.8666666666666667 0.8269230769230769 0.86 0.8431372549019608 0.8301886792452831 0.838387386198707 0.8272292893935514 0.03304562031604819 0.032190216489620026 1 0.8505747126436781 0.8275862068965517 0.896551724137931 0.8850574712643678 0.896551724137931 0.9080459770114943 0.896551724137931 0.896551724137931 0.8896551724137932 0.8804597701149426 0.020040914682945644 0.026808974229173804 1 0.9534883720930233 0.9302325581395349 0.9069767441860465 1.0 0.9772727272727273 1.0 0.9675475687103594 0.9628964059196617 0.03483499704423961 0.03782583118243111 1 0.8631578947368421 0.8421052631578948 0.896551724137931 0.8863636363636364 0.9052631578947368 0.9148936170212766 0.9052631578947369 0.9072164948453608 0.8974165777272294 0.8892423420312732 0.018096736889836287 0.02476527569918078 1 DecisionTreeClassifier
3 0.0013436317443847657 0.0010249614715576172 0.00023391341934461652 1.540634219388853e-05 0.0057566165924072266 0.0037468910217285157 0.002408419907602289 0.00011609066524702597 {} 0.8 0.8666666666666667 0.8 0.896551724137931 0.6923076923076923 0.8111052166224579 0.07035294426445517 1 0.6781609195402298 0.632183908045977 0.6436781609195402 0.7586206896551724 0.6091954022988506 0.664367816091954 0.05211854735059599 1 0.46511627906976744 0.3023255813953488 0.37209302325581395 0.5909090909090909 0.4090909090909091 0.4279069767441861 0.09715364127553945 1 0.5882352941176471 0.44827586206896547 0.5079365079365079 0.7123287671232877 0.5142857142857142 0.5542124291064245 0.09068240332458721 1 GaussianNB
4 0.8683316230773925 1.310411024093628 0.0859394739172999 0.3313412936813181 0.004524374008178711 0.004386615753173828 0.0003576277923583903 0.000617457196577433 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.7924528301886793 0.7962962962962963 0.8085106382978723 0.82 0.7924528301886793 0.9166666666666666 0.9148936170212766 0.7818181818181819 0.7719298245614035 0.8238896633942799 0.8168166412731056 0.048202697589338095 0.050433300547092344 1 0.8620689655172413 0.8735632183908046 0.8390804597701149 0.8735632183908046 0.8620689655172413 0.9540229885057471 0.9425287356321839 0.8505747126436781 0.8758620689655172 0.8735632183908045 0.04073573596935482 0.03634801908239516 1 0.9767441860465116 1.0 0.8837209302325582 0.9534883720930233 0.9767441860465116 1.0 0.9772727272727273 0.9772727272727273 1.0 0.9582452431289641 0.9675475687103594 0.04006049624755327 0.04315641873741724 1 0.875 0.8865979381443299 0.8444444444444444 0.8817204301075269 0.875 0.9565217391304348 0.945054945054945 0.8686868686868686 0.8712871287128713 0.885274696473855 0.8844768912713181 0.03777991211164225 0.03328836897029522 1 MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs
5 0.15126414299011232 0.17238092422485352 0.01811107239857173 0.022403166733080074 0.013306856155395508 0.01240386962890625 0.002210692523930667 0.001147519995702171 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.8076923076923077 0.8837209302325582 0.9069767441860465 0.8571428571428571 0.84 0.8979591836734694 0.88 0.8113207547169812 0.8148148148148148 0.8515672066916349 0.8498967733386337 0.036774852827802504 0.03814245452050048 1 0.8735632183908046 0.8850574712643678 0.9080459770114943 0.9080459770114943 0.896551724137931 0.9425287356321839 0.9310344827586207 0.8735632183908046 0.8850574712643678 0.8965517241379312 0.8988505747126437 0.02621092931262383 0.019775460384006016 1 0.9767441860465116 0.8837209302325582 0.9069767441860465 0.9767441860465116 1.0 0.9772727272727273 1.0 0.9628964059196617 0.9720930232558139 0.040584808213141546 0.03417892664348623 1 0.8842105263157894 0.8837209302325582 0.9069767441860465 0.9130434782608695 0.9032258064516129 0.9462365591397849 0.9361702127659575 0.88659793814433 0.8979591836734693 0.9027618864186664 0.9057084946785752 0.024346426830158686 0.017075730914147384 1 RandomForestClassifier balanced sqrt
6 0.004443168640136719 0.006538248062133789 0.0003713448777735096 0.0004504782516144641 0.005470561981201172 0.009292316436767579 0.0002904982371310523 0.0022072603975237647 {'gamma': 'scale', 'kernel': 'rbf'} 0.717391304347826 0.8064516129032258 0.6818181818181818 0.8421052631578947 0.725 0.7545532724454256 0.059839100951909266 1 0.735632183908046 0.7241379310344828 0.6896551724137931 0.7931034482758621 0.7011494252873564 0.728735632183908 0.03605606239392671 1 0.7674418604651163 0.5813953488372093 0.6976744186046512 0.7272727272727273 0.6590909090909091 0.6865750528541227 0.06346193424695262 1 0.7415730337078652 0.6756756756756758 0.6896551724137931 0.7804878048780488 0.6904761904761905 0.7155735754303147 0.03945456568462695 1 SVC scale rbf
7 0.0019789695739746093 0.00013699531555175782 0.00015863653469972515 3.0689055760546595e-05 0.0042498111724853516 0.012158870697021484 0.00023481695648380676 0.0042352282228720825 gini best {'criterion': 'gini', 'splitter': 'best'} {'to_return': 1} 0.8571428571428571 0.4942528735632184 0.8723404255319149 0.4942528735632184 0.8541666666666666 0.4942528735632184 0.8333333333333334 0.5057471264367817 0.8367346938775511 0.5057471264367817 0.8507435953104647 0.4988505747126437 0.014272053717617132 0.005631010902949855 1 0.896551724137931 0.4942528735632184 0.896551724137931 0.4942528735632184 0.8850574712643678 0.4942528735632184 0.8620689655172413 0.5057471264367817 0.8735632183908046 0.5057471264367817 0.8827586206896552 0.4988505747126437 0.013404487114586916 0.005631010902949855 1 0.9545454545454546 1.0 0.9318181818181818 1.0 0.9318181818181818 1.0 0.9090909090909091 1.0 0.9318181818181818 1.0 0.9318181818181819 1.0 0.014373989364401745 0.0 1 0.9032258064516128 0.6615384615384615 0.9010989010989012 0.6615384615384615 0.8913043478260869 0.6615384615384615 0.8695652173913043 0.6717557251908397 0.8817204301075268 0.6717557251908397 0.8893829405750864 0.6656253669994129 0.012522273686114336 0.005005416503162351 1 DecisionTreeClassifier BiasedClassifier 1
8 0.0010324954986572266 0.003063344955444336 2.87824059371415e-05 0.0008433942655856669 0.005038261413574219 0.011542463302612304 0.000740872543736187 0.004006498105823139 gini best {} {'criterion': 'gini', 'splitter': 'best'} 0.75 0.84 0.8 0.8541666666666666 0.7391304347826086 0.8367346938775511 0.6666666666666666 0.8 0.7692307692307693 0.8333333333333334 0.7450055741360089 0.8328469387755101 0.04428926038920083 0.01788837437307085 1 0.632183908045977 0.8850574712643678 0.5977011494252874 0.8850574712643678 0.6206896551724138 0.8735632183908046 0.5632183908045977 0.8390804597701149 0.6551724137931034 0.8620689655172413 0.6137931034482758 0.8689655172413794 0.03135214183215139 0.017203022467926193 1 0.4090909090909091 0.9545454545454546 0.2727272727272727 0.9318181818181818 0.38636363636363635 0.9318181818181818 0.2727272727272727 0.9090909090909091 0.45454545454545453 0.9090909090909091 0.3590909090909091 0.9272727272727271 0.07385489458759965 0.01700753357624521 1 0.5294117647058824 0.8936170212765958 0.4067796610169491 0.8913043478260869 0.5074626865671641 0.8817204301075268 0.3870967741935484 0.8510638297872342 0.5714285714285714 0.8695652173913043 0.4804358915824231 0.8774541692777497 0.07147892377055552 0.015684079777382086 1 GaussianNB DecisionTreeClassifier
9 0.936018705368042 0.004034900665283203 0.1435024964787475 0.001735953947161072 0.0041712760925292965 0.016949176788330078 0.0005843526359750852 0.0021505846834181247 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {} 0.8235294117647058 0.75 0.8863636363636364 0.8 0.8478260869565217 0.7391304347826086 0.7884615384615384 0.6666666666666666 0.8723404255319149 0.7692307692307693 0.8437042198156635 0.7450055741360089 0.03497320291265929 0.04428926038920083 1 0.8735632183908046 0.632183908045977 0.8850574712643678 0.5977011494252874 0.8620689655172413 0.6206896551724138 0.8390804597701149 0.5632183908045977 0.896551724137931 0.6551724137931034 0.871264367816092 0.6137931034482758 0.01977546038400606 0.03135214183215139 1 0.9545454545454546 0.4090909090909091 0.8863636363636364 0.2727272727272727 0.8863636363636364 0.38636363636363635 0.9318181818181818 0.2727272727272727 0.9318181818181818 0.45454545454545453 0.9181818181818182 0.3590909090909091 0.02727272727272728 0.07385489458759965 1 0.8842105263157896 0.5294117647058824 0.8863636363636365 0.4067796610169491 0.8666666666666666 0.5074626865671641 0.8541666666666667 0.3870967741935484 0.9010989010989012 0.5714285714285714 0.8785012794223321 0.4804358915824231 0.016354180500685624 0.07147892377055552 1 MLPClassifier GaussianNB logistic (60, 80, 100) constant 500000 lbfgs
10 0.17002401351928711 1.5442252159118652 0.004173933521887817 0.7110808431621647 0.014090013504028321 0.004485130310058594 0.0019074009971583154 0.0010939685128482305 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.84 0.8666666666666667 0.8913043478260869 0.8666666666666667 0.9333333333333333 0.7592592592592593 0.8723404255319149 0.803921568627451 0.84 0.8125 0.875395621338267 0.8218028322440087 0.03499971511583098 0.0408497443717608 1 0.8850574712643678 0.8735632183908046 0.9080459770114943 0.8735632183908046 0.9425287356321839 0.8160919540229885 0.896551724137931 0.8505747126436781 0.8850574712643678 0.8390804597701149 0.903448275862069 0.850574712643678 0.021318663208036073 0.02180881144943712 1 0.9545454545454546 0.8863636363636364 0.9318181818181818 0.8863636363636364 0.9545454545454546 0.9318181818181818 0.9318181818181818 0.9545454545454546 0.8863636363636364 0.9454545454545453 0.9045454545454545 0.011134044285378127 0.022268088570756142 1 0.8936170212765958 0.8764044943820225 0.9111111111111111 0.8764044943820225 0.9438202247191012 0.836734693877551 0.9010989010989012 0.8631578947368421 0.8936170212765958 0.8478260869565218 0.9086528558964609 0.860105532866992 0.018718983557465988 0.015732832630266848 1 RandomForestClassifier MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs balanced sqrt
11 0.004750776290893555 0.18745131492614747 0.000524355936126991 0.00897341090736586 0.006039905548095703 0.01860365867614746 0.0009508248484377138 0.006105705204878399 gini {'gamma': 'scale', 'kernel': 'rbf'} {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.7209302325581395 0.84 0.78125 0.9111111111111111 0.7894736842105263 0.9333333333333333 0.7073170731707317 0.8541666666666666 0.723404255319149 0.8936170212765957 0.7444750490517091 0.8864456264775413 0.03393029940101563 0.03480631998683805 1 0.7126436781609196 0.8850574712643678 0.7011494252873564 0.9195402298850575 0.7471264367816092 0.9425287356321839 0.6896551724137931 0.8850574712643678 0.735632183908046 0.9195402298850575 0.7172413793103448 0.9103448275862069 0.021318663208036076 0.022288183252488842 1 0.7045454545454546 0.9545454545454546 0.5681818181818182 0.9318181818181818 0.6818181818181818 0.9545454545454546 0.6590909090909091 0.9318181818181818 0.7727272727272727 0.9545454545454546 0.6772727272727274 0.9454545454545453 0.0664942674469445 0.011134044285378127 1 0.7126436781609196 0.8936170212765958 0.6578947368421052 0.9213483146067416 0.7317073170731707 0.9438202247191012 0.6823529411764706 0.8913043478260869 0.7472527472527473 0.9230769230769231 0.7063702841010826 0.9146333663010898 0.03249433165775736 0.019769606709709422 1 SVC RandomForestClassifier balanced sqrt scale rbf
12 0.001989936828613281 0.007366752624511719 0.00011800323750563928 0.0013313799198813722 0.004775238037109375 0.006848001480102539 0.0007958635643620779 0.0005562254578038502 gini best {'criterion': 'gini', 'splitter': 'best'} {'gamma': 'scale', 'kernel': 'rbf'} 0.851063829787234 0.7209302325581395 0.8936170212765957 0.78125 0.7777777777777778 0.7894736842105263 0.8125 0.7073170731707317 0.8085106382978723 0.723404255319149 0.828693853427896 0.7444750490517091 0.03994366880311656 0.03393029940101563 1 0.8850574712643678 0.7126436781609196 0.9310344827586207 0.7011494252873564 0.8390804597701149 0.7471264367816092 0.8505747126436781 0.6896551724137931 0.8390804597701149 0.735632183908046 0.8689655172413794 0.7172413793103448 0.03531561263387866 0.021318663208036076 1 0.9302325581395349 0.7045454545454546 0.9767441860465116 0.5681818181818182 0.9545454545454546 0.6818181818181818 0.9069767441860465 0.6590909090909091 0.8837209302325582 0.7727272727272727 0.9304439746300212 0.6772727272727274 0.03304054899887746 0.0664942674469445 1 0.888888888888889 0.7126436781609196 0.9333333333333332 0.6578947368421052 0.8571428571428572 0.7317073170731707 0.8571428571428572 0.6823529411764706 0.8444444444444444 0.7472527472527473 0.8761904761904763 0.7063702841010826 0.03212472543663111 0.03249433165775736 1 DecisionTreeClassifier SVC scale rbf
13 0.0009866714477539062 0.00011134147644042969 2.2157591981926944e-05 4.903430361465795e-05 0.004707145690917969 0.004900646209716797 0.0006455812049327525 0.0005161370158997369 {} {'to_return': 1} 0.8333333333333334 0.5057471264367817 0.8421052631578947 0.5057471264367817 0.782608695652174 0.5057471264367817 0.782608695652174 0.5057471264367817 0.9523809523809523 0.5057471264367817 0.8386073880353055 0.5057471264367817 0.06205833034255249 0.0 1 0.6896551724137931 0.5057471264367817 0.6551724137931034 0.5057471264367817 0.6436781609195402 0.5057471264367817 0.6551724137931034 0.5057471264367817 0.7241379310344828 0.5057471264367817 0.6735632183908046 0.5057471264367817 0.02961861776258651 0.0 1 0.46511627906976744 1.0 0.37209302325581395 1.0 0.4090909090909091 1.0 0.4186046511627907 1.0 0.46511627906976744 1.0 0.4260042283298097 1.0 0.035515453449528465 0.0 1 0.5970149253731343 0.6717557251908397 0.5161290322580645 0.6717557251908397 0.537313432835821 0.6717557251908397 0.5454545454545454 0.6717557251908397 0.625 0.6717557251908397 0.564182387184313 0.6717557251908397 0.0403944433699087 0.0 1 GaussianNB BiasedClassifier 1
14 1.7184324264526367 0.002200460433959961 0.41735925133386115 0.00020534606753037414 0.004328155517578125 0.004897880554199219 0.0004639785456082588 0.00023687623875931181 gini best {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {'criterion': 'gini', 'splitter': 'best'} 0.7547169811320755 0.8297872340425532 0.8163265306122449 0.9111111111111111 0.8269230769230769 0.7777777777777778 0.7547169811320755 0.7959183673469388 0.8 0.8478260869565217 0.7905367139598946 0.8324841154469805 0.030478655990839956 0.04637820829132765 1 0.8160919540229885 0.8620689655172413 0.8620689655172413 0.9310344827586207 0.8850574712643678 0.8390804597701149 0.8160919540229885 0.8390804597701149 0.8160919540229885 0.8735632183908046 0.839080459770115 0.8689655172413794 0.029078415265916133 0.03378606541769901 1 0.9302325581395349 0.9069767441860465 0.9302325581395349 0.9534883720930233 0.9772727272727273 0.9545454545454546 0.9302325581395349 0.9069767441860465 0.8372093023255814 0.9069767441860465 0.9210359408033826 0.9257928118393235 0.04570167345332005 0.023047306680611702 1 0.8333333333333334 0.8666666666666666 0.8695652173913043 0.9318181818181819 0.8958333333333334 0.8571428571428572 0.8333333333333334 0.8478260869565216 0.8181818181818183 0.8764044943820224 0.8500494071146246 0.8759716573932499 0.028465530806464814 0.029503563665100513 1 MLPClassifier DecisionTreeClassifier logistic (60, 80, 100) constant 500000 lbfgs
15 0.17911319732666015 0.0013114452362060548 0.005977100154862893 0.0002328472352982698 0.013374042510986329 0.005080604553222656 0.0025833323949244315 0.0012423829742128443 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {} 0.8888888888888888 0.8333333333333334 0.851063829787234 0.8421052631578947 0.875 0.782608695652174 0.8478260869565217 0.782608695652174 0.925 0.9523809523809523 0.8775557611265288 0.8386073880353055 0.028183695479612123 0.06205833034255249 1 0.9080459770114943 0.6896551724137931 0.8850574712643678 0.6551724137931034 0.9080459770114943 0.6436781609195402 0.8735632183908046 0.6551724137931034 0.896551724137931 0.7241379310344828 0.8942528735632184 0.6735632183908046 0.013404487114586881 0.02961861776258651 1 0.9302325581395349 0.46511627906976744 0.9302325581395349 0.37209302325581395 0.9545454545454546 0.4090909090909091 0.9069767441860465 0.4186046511627907 0.8604651162790697 0.46511627906976744 0.9164904862579281 0.4260042283298097 0.03179692771335431 0.035515453449528465 1 0.9090909090909092 0.5970149253731343 0.888888888888889 0.5161290322580645 0.9130434782608695 0.537313432835821 0.8764044943820224 0.5454545454545454 0.891566265060241 0.625 0.8957988071365861 0.564182387184313 0.013534100682265786 0.0403944433699087 1 RandomForestClassifier GaussianNB balanced sqrt
16 0.004246282577514649 1.7335651874542237 0.00020742593961810567 0.46873655713973056 0.005492544174194336 0.0058174610137939455 0.000505823063241848 0.002204283396201828 {'gamma': 'scale', 'kernel': 'rbf'} {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.717391304347826 0.8125 0.7021276595744681 0.8809523809523809 0.7142857142857143 0.8333333333333334 0.8085106382978723 0.803921568627451 0.7446808510638298 0.8837209302325582 0.7373992335139421 0.8428856426291447 0.03817981082531593 0.033613480134915025 1 0.735632183908046 0.8505747126436781 0.7241379310344828 0.8735632183908046 0.7701149425287356 0.8620689655172413 0.8390804597701149 0.8620689655172413 0.7701149425287356 0.8850574712643678 0.7678160919540229 0.8666666666666666 0.04008182936589124 0.011721883939293793 1 0.7674418604651163 0.9069767441860465 0.7674418604651163 0.8604651162790697 0.9090909090909091 0.8837209302325582 0.9534883720930233 0.813953488372093 0.8837209302325582 0.8283298097251585 0.9027484143763214 0.05867179006586292 0.03092756625439281 1 0.7415730337078652 0.8571428571428572 0.7333333333333334 0.8705882352941177 0.8 0.8695652173913043 0.8444444444444444 0.8723404255319148 0.7777777777777778 0.8837209302325582 0.7794257178526842 0.8706715331185505 0.04052353688322142 0.00845373188121867 1 SVC MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs scale rbf
17 0.0023474693298339844 0.19207940101623536 0.0004159644612266083 0.0037181516810966433 0.0050795555114746095 0.014526033401489257 0.0007537542711967322 0.00295937253763726 gini best {'criterion': 'gini', 'splitter': 'best'} {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.7272727272727273 0.8695652173913043 0.84 0.851063829787234 0.7818181818181819 0.9148936170212766 0.7719298245614035 0.8478260869565217 0.9333333333333333 0.925 0.8108708133971293 0.8816697502312673 0.07098545529627763 0.03227993647718546 1 0.7931034482758621 0.896551724137931 0.896551724137931 0.8850574712643678 0.8620689655172413 0.9425287356321839 0.8505747126436781 0.8735632183908046 0.9540229885057471 0.896551724137931 0.871264367816092 0.8988505747126435 0.05312285061283374 0.023443767878587488 1 0.9302325581395349 0.9767441860465116 0.9302325581395349 1.0 0.9772727272727273 1.0 0.9069767441860465 0.9767441860465116 0.8604651162790697 0.9767441860465116 0.9210359408033826 0.025475467790937966 0.03794263429529879 1 0.8163265306122448 0.898876404494382 0.9032258064516129 0.888888888888889 0.8775510204081634 0.945054945054945 0.8712871287128713 0.8764044943820224 0.9545454545454545 0.891566265060241 0.8845871881460694 0.9001581995760958 0.04500549685151739 0.023589904475264656 1 DecisionTreeClassifier RandomForestClassifier balanced sqrt
18 0.001402568817138672 0.0051666259765625 0.00027041629894149975 0.00034187932701668506 0.004859399795532226 0.00728912353515625 0.0005202325826066542 0.001704487097268627 {} {'gamma': 'scale', 'kernel': 'rbf'} 0.625 0.717391304347826 0.782608695652174 0.7021276595744681 0.7894736842105263 0.7142857142857143 0.875 0.8085106382978723 0.9523809523809523 0.7446808510638298 0.8048926664487306 0.7373992335139421 0.10932842678338679 0.03817981082531593 1 0.5517241379310345 0.735632183908046 0.6551724137931034 0.7241379310344828 0.632183908045977 0.7701149425287356 0.7701149425287356 0.8390804597701149 0.7241379310344828 0.7701149425287356 0.6666666666666666 0.7678160919540229 0.0755479389662298 0.04008182936589124 1 0.23255813953488372 0.7674418604651163 0.4186046511627907 0.7674418604651163 0.3488372093023256 0.9090909090909091 0.6363636363636364 0.8837209302325582 0.46511627906976744 0.813953488372093 0.4202959830866807 0.8283298097251585 0.13345321620743475 0.05867179006586292 1 0.33898305084745767 0.7415730337078652 0.5454545454545454 0.7333333333333334 0.48387096774193555 0.8 0.7368421052631579 0.8444444444444444 0.625 0.7777777777777778 0.5460301338614193 0.7794257178526842 0.13369969035673737 0.04052353688322142 1 GaussianNB SVC scale rbf
19 1.0924948692321776 8.912086486816407e-05 0.1974697751548748 4.704524797218547e-06 0.004323148727416992 0.005401611328125 0.00040777369083626287 0.0014136162828282612 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {'to_return': 1} 0.8235294117647058 0.4942528735632184 0.8541666666666666 0.4942528735632184 0.7843137254901961 0.5057471264367817 0.7818181818181819 0.4942528735632184 0.9555555555555556 0.4942528735632184 0.8398767082590611 0.496551724137931 0.06373550073933776 0.004597701149425305 1 0.8850574712643678 0.4942528735632184 0.896551724137931 0.4942528735632184 0.8390804597701149 0.5057471264367817 0.8505747126436781 0.4942528735632184 0.9770114942528736 0.4942528735632184 0.8896551724137931 0.496551724137931 0.04854876340676525 0.004597701149425305 1 0.9767441860465116 1.0 0.9534883720930233 1.0 0.9302325581395349 1.0 0.9772727272727273 1.0 1.0 0.9675475687103594 1.0 0.023758736496393568 0.0 1 0.8936170212765957 0.6615384615384615 0.9010989010989011 0.6615384615384615 0.851063829787234 0.6717557251908397 0.8686868686868686 0.6615384615384615 0.9772727272727273 0.6615384615384615 0.8983478696244653 0.6635819142689371 0.04330043338122906 0.004086905460951274 1 MLPClassifier BiasedClassifier logistic (60, 80, 100) constant 500000 lbfgs 1
20 0.18673672676086425 0.002162599563598633 0.00425871820676779 0.00011463611565533277 0.01402268409729004 0.005778264999389648 0.002114995380243859 0.0011629495747886357 gini best {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {'criterion': 'gini', 'splitter': 'best'} 0.8695652173913043 0.7547169811320755 0.875 0.84 0.9130434782608695 0.7818181818181819 0.88 0.8 0.9347826086956522 0.9333333333333333 0.8944782608695652 0.8219736992567181 0.025214242681993553 0.06220078905101413 1 0.896551724137931 0.8160919540229885 0.9195402298850575 0.896551724137931 0.9425287356321839 0.8620689655172413 0.9310344827586207 0.8735632183908046 0.9655172413793104 0.9540229885057471 0.9310344827586207 0.8804597701149424 0.022988505747126443 0.04516524759629539 1 0.9302325581395349 0.9767441860465116 0.9767441860465116 1.0 1.0 1.0 0.9767441860465116 0.9767441860465116 0.025475467790937966 1 0.898876404494382 0.8333333333333334 0.923076923076923 0.9032258064516129 0.9438202247191011 0.8775510204081634 0.9361702127659575 0.888888888888889 0.9662921348314606 0.9545454545454545 0.9336471799775647 0.8915089007254906 0.022344067534023297 0.039235128453130444 1 RandomForestClassifier DecisionTreeClassifier balanced sqrt
21 0.004868793487548828 0.0011775970458984375 0.0006423848080842837 4.386730812718879e-05 0.006475830078125 0.004958534240722656 0.0013074481211800904 0.0002850278946466431 {'gamma': 'scale', 'kernel': 'rbf'} {} 0.6944444444444444 0.625 0.75 0.782608695652174 0.8095238095238095 0.7894736842105263 0.8076923076923077 0.875 0.8695652173913043 0.9523809523809523 0.7862451558103731 0.8048926664487306 0.059473003340029494 0.10932842678338679 1 0.6666666666666666 0.5517241379310345 0.735632183908046 0.6551724137931034 0.8045977011494253 0.632183908045977 0.8620689655172413 0.7701149425287356 0.896551724137931 0.7241379310344828 0.793103448275862 0.6666666666666666 0.0835213890785515 0.0755479389662298 1 0.5813953488372093 0.23255813953488372 0.6976744186046512 0.4186046511627907 0.7906976744186046 0.3488372093023256 0.9545454545454546 0.6363636363636364 0.9302325581395349 0.46511627906976744 0.7909090909090909 0.4202959830866807 0.1405536516486544 0.13345321620743475 1 0.6329113924050633 0.33898305084745767 0.7228915662650603 0.5454545454545454 0.8 0.48387096774193555 0.875 0.7368421052631579 0.898876404494382 0.625 0.7859358726329011 0.5460301338614193 0.0982617507617456 0.13369969035673737 1 SVC GaussianNB scale rbf
22 0.0022649288177490233 1.1879018306732179 0.0002710619149921518 0.22662159651745153 0.00461268424987793 0.0044406414031982425 0.0002385657809741055 0.000705439773300126 gini best {'criterion': 'gini', 'splitter': 'best'} {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.8431372549019608 0.8367346938775511 0.875 0.9333333333333333 0.7678571428571429 0.8260869565217391 0.8148148148148148 0.7857142857142857 0.8113207547169812 0.9333333333333333 0.8224259934581799 0.8630405205560485 0.03564266639355289 0.059864961476919436 1 0.896551724137931 0.8850574712643678 0.9195402298850575 0.9540229885057471 0.8505747126436781 0.8850574712643678 0.8620689655172413 0.8850574712643678 0.9540229885057471 0.8873563218390805 0.9011494252873563 0.022288183252488877 0.044576366504977726 1 0.9772727272727273 0.9534883720930233 0.9767441860465116 1.0 0.8837209302325582 1.0 1.0 0.9767441860465116 0.9908033826638478 0.9581395348837208 0.011264749940598078 0.04001081519554709 1 0.9052631578947369 0.8913043478260869 0.923076923076923 0.9545454545454545 0.8686868686868687 0.853932584269663 0.8979591836734693 0.88 0.8958333333333334 0.9545454545454545 0.8981638933330662 0.9068655682373317 0.017580824817308816 0.04077389911655387 1 DecisionTreeClassifier MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs
23 0.001177835464477539 0.20467829704284668 0.00022100300951762638 0.0022406586232805925 0.004941177368164062 0.015773487091064454 0.0005995174698562829 0.0018224619895604826 gini {} {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.9375 0.9069767441860465 0.8095238095238095 0.875 0.95 0.8571428571428571 0.7619047619047619 0.88 0.8333333333333334 0.9555555555555556 0.8584523809523809 0.8949350313768918 0.07345189858605215 0.03425948006212634 1 0.6551724137931034 0.9080459770114943 0.6551724137931034 0.9195402298850575 0.7126436781609196 0.9080459770114943 0.6206896551724138 0.9310344827586207 0.5977011494252874 0.9770114942528736 0.6482758620689656 0.9287356321839081 0.03887709086273048 0.025598916610712757 1 0.3409090909090909 0.9069767441860465 0.3953488372093023 0.9767441860465116 0.4418604651162791 0.9767441860465116 0.36363636363636365 1.0 0.23255813953488372 1.0 0.354862579281184 0.9720930232558139 0.06991112119272025 0.03417892664348623 1 0.5 0.9069767441860465 0.53125 0.923076923076923 0.6031746031746031 0.9130434782608695 0.4923076923076923 0.9361702127659575 0.3636363636363636 0.9772727272727273 0.4980737318237319 0.9313080171125048 0.07779102983602866 0.025018995413057674 1 GaussianNB RandomForestClassifier balanced sqrt
24 1.8019145488739015 0.005266332626342773 0.5072924351385918 0.0008829188156004573 0.004171037673950195 0.006360149383544922 0.0005703277922583684 0.000921209104419299 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {'gamma': 'scale', 'kernel': 'rbf'} 0.8269230769230769 0.6944444444444444 0.84 0.75 0.7735849056603774 0.8095238095238095 0.8461538461538461 0.8076923076923077 0.7543859649122807 0.8695652173913043 0.8082095587299163 0.7862451558103731 0.03713877412907954 0.059473003340029494 1 0.8850574712643678 0.6666666666666666 0.896551724137931 0.735632183908046 0.8390804597701149 0.8045977011494253 0.9080459770114943 0.8620689655172413 0.8390804597701149 0.896551724137931 0.8735632183908045 0.793103448275862 0.029078415265916147 0.0835213890785515 1 0.9772727272727273 0.5813953488372093 0.9767441860465116 0.6976744186046512 0.9534883720930233 0.7906976744186046 1.0 0.9545454545454546 1.0 0.9302325581395349 0.9815010570824525 0.7909090909090909 0.017376069138229963 0.1405536516486544 1 0.8958333333333334 0.6329113924050633 0.9032258064516129 0.7228915662650603 0.8541666666666667 0.8 0.9166666666666666 0.875 0.86 0.898876404494382 0.8859784946236559 0.7859358726329011 0.024589534747539915 0.0982617507617456 1 MLPClassifier SVC logistic (60, 80, 100) constant 500000 lbfgs scale rbf
25 0.18393878936767577 0.00010089874267578125 0.0022903507457411342 2.7320480583703417e-05 0.012638616561889648 0.005885505676269531 0.0008147810915167272 0.0009496829264005458 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {'to_return': 1} 0.9772727272727273 0.4942528735632184 0.8367346938775511 0.4942528735632184 0.8269230769230769 0.4942528735632184 0.88 0.5057471264367817 0.8958333333333334 0.4942528735632184 0.8833527662813376 0.496551724137931 0.053564016249746035 0.004597701149425305 1 0.9770114942528736 0.4942528735632184 0.8850574712643678 0.4942528735632184 0.896551724137931 0.4942528735632184 0.9310344827586207 0.5057471264367817 0.9425287356321839 0.4942528735632184 0.9264367816091955 0.496551724137931 0.03299471286070649 0.004597701149425305 1 0.9772727272727273 1.0 0.9534883720930233 1.0 1.0 1.0 1.0 0.9861522198731502 1.0 0.018552926367390112 0.0 1 0.9772727272727273 0.6615384615384615 0.8913043478260869 0.6615384615384615 0.9052631578947368 0.6615384615384615 0.9361702127659575 0.6717557251908397 0.945054945054945 0.6615384615384615 0.9310130781628907 0.6635819142689372 0.03034325907898099 0.004086905460951274 1 RandomForestClassifier BiasedClassifier balanced sqrt 1
26 0.004398775100708008 0.0025852203369140627 0.00020901091710458136 0.0002888902644231681 0.005275821685791016 0.008424186706542968 0.00036392815452945213 0.0021211058855906766 gini best {'gamma': 'scale', 'kernel': 'rbf'} {'criterion': 'gini', 'splitter': 'best'} 0.8108108108108109 0.86 0.7560975609756098 0.875 0.673469387755102 0.7818181818181819 0.75 0.8461538461538461 0.6904761904761905 0.8431372549019608 0.7361707900035427 0.8412218565747978 0.04935365888461486 0.03178166606803471 1 0.7586206896551724 0.9080459770114943 0.7471264367816092 0.9195402298850575 0.7011494252873564 0.8620689655172413 0.7241379310344828 0.9080459770114943 0.6896551724137931 0.9080459770114943 0.7241379310344828 0.9011494252873563 0.02621092931262383 0.020040914682945644 1 0.6818181818181818 0.9772727272727273 0.7209302325581395 0.9767441860465116 0.7674418604651163 1.0 0.6818181818181818 1.0 0.6744186046511628 1.0 0.7052854122621564 0.9908033826638478 0.035106597889331737 0.011264749940598078 1 0.7407407407407407 0.9148936170212766 0.7380952380952381 0.923076923076923 0.7173913043478259 0.8775510204081634 0.7142857142857143 0.9166666666666666 0.6823529411764705 0.9148936170212766 0.7185731877291979 0.9094163688388612 0.020996172957040878 0.016214675368913384 1 SVC DecisionTreeClassifier scale rbf
27 0.00206756591796875 0.0013147830963134766 0.0001717024992325036 0.0002624367468080042 0.004828643798828125 0.006475019454956055 0.00045015684067216416 0.002189931541185622 gini best {'criterion': 'gini', 'splitter': 'best'} {} 0.8723404255319149 0.9375 0.82 0.8095238095238095 0.7735849056603774 0.95 0.8333333333333334 0.7619047619047619 0.7962962962962963 0.8333333333333334 0.8191109921643843 0.8584523809523809 0.03355465034778286 0.07345189858605215 1 0.896551724137931 0.6551724137931034 0.8735632183908046 0.6551724137931034 0.8275862068965517 0.7126436781609196 0.8620689655172413 0.6206896551724138 0.8735632183908046 0.5977011494252874 0.8666666666666668 0.6482758620689656 0.022524043611799355 0.03887709086273048 1 0.9318181818181818 0.3409090909090909 0.9534883720930233 0.3953488372093023 0.9318181818181818 0.4418604651162791 0.9090909090909091 0.36363636363636365 1.0 0.23255813953488372 0.9452431289640593 0.354862579281184 0.030769271598132378 0.06991112119272025 1 0.9010989010989012 0.5 0.8817204301075269 0.53125 0.8453608247422681 0.6031746031746031 0.8695652173913043 0.4923076923076923 0.8865979381443299 0.3636363636363636 0.876868662296866 0.4980737318237319 0.018715699648497057 0.07779102983602866 1 DecisionTreeClassifier GaussianNB
28 0.0016726970672607422 1.0479557514190674 0.0002812474893888989 0.08324623938687833 0.005605936050415039 0.0047226428985595705 0.0007809245863278931 0.0006157492109823827 {} {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.7368421052631579 0.8775510204081632 0.7391304347826086 0.7924528301886793 0.84 0.7884615384615384 0.8148148148148148 0.9361702127659575 0.8 0.8775510204081632 0.7861574709721163 0.8544373244465003 0.04136526157514908 0.05646881047053954 1 0.5977011494252874 0.9195402298850575 0.632183908045977 0.8620689655172413 0.6896551724137931 0.8505747126436781 0.6896551724137931 0.9655172413793104 0.6436781609195402 0.9310344827586207 0.6505747126436783 0.9057471264367816 0.03531561263387867 0.04325261545339492 1 0.3181818181818182 0.9772727272727273 0.3953488372093023 0.9767441860465116 0.4772727272727273 0.9534883720930233 0.5 1.0 0.37209302325581395 1.0 0.41257928118393233 0.9815010570824525 0.0673417112152376 0.017376069138229963 1 0.44444444444444436 0.9247311827956989 0.5151515151515151 0.875 0.6086956521739131 0.8631578947368421 0.6197183098591549 0.967032967032967 0.5079365079365079 0.9347826086956522 0.5391892859131071 0.9129409306522321 0.06610173097256672 0.038626110932591155 1 GaussianNB MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs
29 1.5445869445800782 0.19396591186523438 0.3960126734423616 0.003609898885404677 0.004444551467895508 0.012253856658935547 0.0005046720090545574 0.00026434699497171824 gini {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.7962962962962963 0.9545454545454546 0.8297872340425532 0.8541666666666666 0.7708333333333334 0.8431372549019608 0.7884615384615384 0.88 0.8431372549019608 0.9347826086956522 0.8057031314071363 0.8933263969619467 0.02676946578992968 0.04403729741077802 1 0.8620689655172413 0.9540229885057471 0.8620689655172413 0.896551724137931 0.7931034482758621 0.9080459770114943 0.8390804597701149 0.9310344827586207 0.9080459770114943 0.9655172413793104 0.8528735632183908 0.9310344827586207 0.03735190071096992 0.026210929312623858 1 0.9772727272727273 0.9545454545454546 0.9069767441860465 0.9534883720930233 0.8409090909090909 1.0 0.9318181818181818 1.0 1.0 0.9313953488372093 0.9816067653276956 0.05584897837553966 0.022529499881196128 1 0.8775510204081632 0.9545454545454546 0.8666666666666666 0.9010989010989011 0.8043478260869567 0.9148936170212766 0.8541666666666667 0.9361702127659575 0.9148936170212766 0.9662921348314606 0.863525159369946 0.93460006405261 0.03587436535354627 0.024146814667758826 1 MLPClassifier RandomForestClassifier logistic (60, 80, 100) constant 500000 lbfgs balanced sqrt
30 0.18384242057800293 0.00482325553894043 0.006076069359904161 0.00015945875182292734 0.012868118286132813 0.006249189376831055 0.0007459176849424791 0.00037919171963596884 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {'gamma': 'scale', 'kernel': 'rbf'} 0.8431372549019608 0.8108108108108109 0.8888888888888888 0.7560975609756098 0.8666666666666667 0.673469387755102 0.8913043478260869 0.75 0.8775510204081632 0.6904761904761905 0.8735096357383533 0.7361707900035427 0.01754316812431488 0.04935365888461486 1 0.896551724137931 0.7586206896551724 0.9080459770114943 0.7471264367816092 0.8735632183908046 0.7011494252873564 0.9080459770114943 0.7241379310344828 0.9310344827586207 0.6896551724137931 0.903448275862069 0.7241379310344828 0.018675950355484944 0.02621092931262383 1 0.9772727272727273 0.6818181818181818 0.9302325581395349 0.7209302325581395 0.8863636363636364 0.7674418604651163 0.9318181818181818 0.6818181818181818 1.0 0.6744186046511628 0.9451374207188159 0.7052854122621564 0.039740395854914776 0.035106597889331737 1 0.9052631578947369 0.7407407407407407 0.9090909090909092 0.7380952380952381 0.8764044943820225 0.7173913043478259 0.9111111111111111 0.7142857142857143 0.9347826086956522 0.6823529411764705 0.9073304562348863 0.7185731877291979 0.01861022331533133 0.020996172957040878 1 RandomForestClassifier SVC balanced sqrt scale rbf
31 0.004279470443725586 0.00012807846069335939 0.0002558823265505084 4.9965708754241704e-05 0.005733108520507813 0.005942535400390625 0.0006832044460948641 0.0008432287970806463 {'gamma': 'scale', 'kernel': 'rbf'} {'to_return': 1} 0.717391304347826 0.5057471264367817 0.7906976744186046 0.4942528735632184 0.782608695652174 0.4942528735632184 0.7272727272727273 0.5057471264367817 0.7837837837837838 0.4942528735632184 0.7603508370950232 0.4988505747126437 0.03132133010229837 0.005631010902949855 1 0.7241379310344828 0.5057471264367817 0.7931034482758621 0.4942528735632184 0.7931034482758621 0.4942528735632184 0.7241379310344828 0.5057471264367817 0.7471264367816092 0.4942528735632184 0.7563218390804598 0.4988505747126437 0.03118312635919665 0.005631010902949855 1 0.75 1.0 0.7906976744186046 1.0 0.8181818181818182 1.0 0.7272727272727273 1.0 0.6744186046511628 1.0 0.7521141649048626 1.0 0.05002357207543973 0.0 1 0.7333333333333332 0.6717557251908397 0.7906976744186046 0.6615384615384615 0.8 0.6615384615384615 0.7272727272727273 0.6717557251908397 0.725 0.6615384615384615 0.7552607470049331 0.6656253669994128 0.03297644647693505 0.005005416503162351 1 SVC BiasedClassifier scale rbf 1
32 0.0022994041442871093 0.00256495475769043 0.00023470608880696303 0.00015650071578116354 0.004636621475219727 0.005503225326538086 0.0002043977704776254 0.0001899081074143049 gini best {'criterion': 'gini', 'splitter': 'best'} 0.8367346938775511 0.8571428571428571 0.82 0.8076923076923077 0.7647058823529411 0.8936170212765957 0.8541666666666666 0.82 0.7777777777777778 0.8430373759978623 0.8106770041349873 0.030255523340888345 0.034213960093917035 1 0.8850574712643678 0.8735632183908046 0.896551724137931 0.8735632183908046 0.8620689655172413 0.8045977011494253 0.9195402298850575 0.8850574712643678 0.8735632183908046 0.8505747126436781 0.8873563218390805 0.8574712643678162 0.019775460384006044 0.028712634475394943 1 0.9534883720930233 0.9318181818181818 0.9545454545454546 0.9534883720930233 0.9545454545454546 0.8863636363636364 0.9545454545454546 0.9318181818181818 0.9534883720930233 0.9767441860465116 0.9541226215644821 0.936046511627907 0.000517862524901312 0.0298819840039179 1 0.8913043478260869 0.8817204301075268 0.9032258064516128 0.8817204301075269 0.875 0.8210526315789474 0.9230769230769231 0.8913043478260869 0.8817204301075269 0.8659793814432991 0.89486550149243 0.8683554442126773 0.017005245505571434 0.025008397111140102 1 DecisionTreeClassifier
33 0.0012067317962646484 0.0013147830963134766 0.0001254314321262609 0.00016054524336622277 0.004871988296508789 0.005717658996582031 6.468794751091687e-05 0.0003844313276936607 {} 0.8636363636363636 0.7368421052631579 0.782608695652174 0.7391304347826086 0.7142857142857143 0.84 0.7272727272727273 0.8148148148148148 0.8333333333333334 0.8 0.7842273668360625 0.7861574709721163 0.058061123902532125 0.04136526157514908 1 0.6896551724137931 0.5977011494252874 0.6436781609195402 0.632183908045977 0.5632183908045977 0.6896551724137931 0.6091954022988506 0.6896551724137931 0.5977011494252874 0.6436781609195402 0.6206896551724138 0.6505747126436783 0.043007556169815435 0.03531561263387867 1 0.4418604651162791 0.3181818181818182 0.4090909090909091 0.3953488372093023 0.22727272727272727 0.4772727272727273 0.36363636363636365 0.5 0.23255813953488372 0.37209302325581395 0.33488372093023255 0.41257928118393233 0.08925031719584993 0.0673417112152376 1 0.5846153846153846 0.44444444444444436 0.537313432835821 0.5151515151515151 0.3448275862068965 0.6086956521739131 0.4848484848484849 0.6197183098591549 0.3636363636363636 0.5079365079365079 0.46304825042859016 0.5391892859131071 0.09447537704369392 0.06610173097256672 1 GaussianNB
34 1.4954755306243896 1.0477601528167724 0.6153562765333447 0.20298421513586734 0.004317426681518554 0.0041754722595214845 0.0006817551917294555 0.0005256725239497262 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.8163265306122449 0.7884615384615384 0.7843137254901961 0.8478260869565217 0.7884615384615384 0.74 0.875 0.8666666666666667 0.8541666666666666 0.8367346938775511 0.8236536922461293 0.8159377971924556 0.03579746610560267 0.04592229517397828 1 0.8620689655172413 0.8390804597701149 0.8275862068965517 0.8735632183908046 0.8390804597701149 0.7701149425287356 0.9080459770114943 0.8735632183908046 0.896551724137931 0.8850574712643678 0.8666666666666668 0.8482758620689654 0.0313521418321514 0.04201302731608524 1 0.9302325581395349 0.9318181818181818 0.9090909090909091 0.9069767441860465 0.9318181818181818 0.8409090909090909 0.9545454545454546 0.8863636363636364 0.9534883720930233 0.9358350951374208 0.9039112050739957 0.016878929096162457 0.038789885092825646 1 0.8695652173913043 0.8541666666666667 0.8421052631578948 0.8764044943820224 0.8541666666666667 0.7872340425531915 0.9130434782608695 0.8764044943820225 0.9010989010989011 0.8913043478260869 0.8759959053151274 0.8571028091619979 0.027089215903989865 0.03689206102089107 1 MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs
35 0.18642067909240723 0.2054218292236328 0.0027648207169169367 0.002629685939615766 0.013179731369018555 0.017171573638916016 0.0014817875495277486 0.003591558498269382 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.851063829787234 0.86 0.82 0.9090909090909091 0.9333333333333333 0.8863636363636364 0.9333333333333333 0.9111111111111111 0.9318181818181818 0.8775510204081632 0.8939097356544166 0.8888233353947639 0.04867013678331812 0.01934641753747082 1 0.8850574712643678 0.9080459770114943 0.8620689655172413 0.9195402298850575 0.9425287356321839 0.8850574712643678 0.9425287356321839 0.9195402298850575 0.9425287356321839 0.9310344827586207 0.9149425287356323 0.9126436781609195 0.034559302019248055 0.015591563179598299 1 0.9302325581395349 0.9772727272727273 0.9318181818181818 0.9302325581395349 0.9545454545454546 0.8863636363636364 0.9545454545454546 0.9318181818181818 0.9534883720930233 1.0 0.94492600422833 0.9451374207188159 0.011367446138494802 0.039740395854914776 1 0.888888888888889 0.9148936170212766 0.8723404255319149 0.9195402298850575 0.9438202247191012 0.8863636363636365 0.9438202247191012 0.9213483146067416 0.942528735632184 0.9347826086956522 0.9182796998982381 0.915385681314473 0.031199003994897112 0.015947258584666963 1 RandomForestClassifier balanced sqrt
36 0.004606199264526367 0.006590557098388672 0.00030640835253414975 0.0006515370283574501 0.005708837509155273 0.006815481185913086 0.0004622477857420305 0.00030984676738491626 {'gamma': 'scale', 'kernel': 'rbf'} 0.7727272727272727 0.717391304347826 0.6181818181818182 0.7906976744186046 0.6666666666666666 0.782608695652174 0.7647058823529411 0.7272727272727273 0.8857142857142857 0.7837837837837838 0.7415991851285969 0.7603508370950232 0.09286416779158137 0.03132133010229837 1 0.7816091954022989 0.7241379310344828 0.6436781609195402 0.7931034482758621 0.6206896551724138 0.7931034482758621 0.7011494252873564 0.7241379310344828 0.8160919540229885 0.7471264367816092 0.7126436781609196 0.7563218390804598 0.07589689204238703 0.03118312635919665 1 0.7906976744186046 0.75 0.7727272727272727 0.7906976744186046 0.5 0.8181818181818182 0.5909090909090909 0.7272727272727273 0.7209302325581395 0.6744186046511628 0.6750528541226215 0.7521141649048626 0.11202002052077396 0.05002357207543973 1 0.7816091954022988 0.7333333333333332 0.6868686868686869 0.7906976744186046 0.5714285714285715 0.8 0.6666666666666667 0.7272727272727273 0.7948717948717948 0.725 0.7002889830476038 0.7552607470049331 0.08182231409702262 0.03297644647693505 1 SVC scale rbf
37 0.002074527740478516 0.00026397705078125 5.369457420975792e-05 0.00024138971123202716 0.004720640182495117 0.008141565322875976 0.00042156321788053064 0.002164818796181482 gini best {'criterion': 'gini', 'splitter': 'best'} {'to_return': 1} 0.9148936170212766 0.5057471264367817 0.8775510204081632 0.4942528735632184 0.8 0.5057471264367817 0.84 0.5057471264367817 0.8571428571428571 0.4942528735632184 0.8579174989144593 0.5011494252873564 0.038230424320156525 0.005631010902949855 1 0.9540229885057471 0.5057471264367817 0.9310344827586207 0.4942528735632184 0.8735632183908046 0.5057471264367817 0.896551724137931 0.5057471264367817 0.9080459770114943 0.4942528735632184 0.9126436781609195 0.5011494252873564 0.027777117180677144 0.005631010902949855 1 1.0 1.0 1.0 0.9767441860465116 1.0 0.9767441860465116 1.0 0.9906976744186047 1.0 0.011392975547828756 0.0 1 0.9555555555555556 0.6717557251908397 0.9347826086956522 0.6615384615384615 0.888888888888889 0.6717557251908397 0.9032258064516129 0.6717557251908397 0.9130434782608695 0.6615384615384615 0.9190992675705159 0.6676688197298885 0.023564101742434385 0.005005416503162351 1 DecisionTreeClassifier BiasedClassifier 1
38 0.001164388656616211 0.0022379875183105467 0.00016108427312301984 7.523311769264513e-05 0.004695367813110351 0.007052278518676758 0.0003719933595314699 0.0017106026771576644 gini best {} {'criterion': 'gini', 'splitter': 'best'} 0.9166666666666666 0.8333333333333334 0.75 0.8367346938775511 0.8125 0.8235294117647058 0.8260869565217391 0.875 0.92 0.8541666666666666 0.8450507246376813 0.8445528211284514 0.06511536141307574 0.018157315267629374 1 0.735632183908046 0.8735632183908046 0.5977011494252874 0.8735632183908046 0.7241379310344828 0.8735632183908046 0.6781609195402298 0.9080459770114943 0.7471264367816092 0.896551724137931 0.6965517241379311 0.8850574712643677 0.05469138967066811 0.014539207632958049 1 0.5116279069767442 0.9302325581395349 0.27906976744186046 0.9318181818181818 0.5909090909090909 0.9545454545454546 0.4418604651162791 0.9545454545454546 0.5348837209302325 0.9534883720930233 0.4716701902748414 0.94492600422833 0.10751188547866333 0.011367446138494802 1 0.6567164179104478 0.8791208791208791 0.4067796610169491 0.8817204301075268 0.6842105263157896 0.8842105263157896 0.5757575757575758 0.9130434782608695 0.6764705882352942 0.9010989010989011 0.5999869538472113 0.8918388429807932 0.10399779742560995 0.013097368687406876 1 GaussianNB DecisionTreeClassifier
39 1.9322119235992432 0.0011313915252685546 0.6113837699210615 7.793182372957246e-05 0.004147720336914062 0.007006502151489258 0.0007077111722888735 0.0022371042748052664 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {} 0.82 0.8636363636363636 0.8235294117647058 0.782608695652174 0.7884615384615384 0.7142857142857143 0.82 0.7272727272727273 0.8723404255319149 0.8333333333333334 0.8248662751516317 0.7842273668360625 0.026937885140533396 0.058061123902532125 1 0.8735632183908046 0.6896551724137931 0.8850574712643678 0.6436781609195402 0.8390804597701149 0.5632183908045977 0.8735632183908046 0.6091954022988506 0.9080459770114943 0.5977011494252874 0.8758620689655172 0.6206896551724138 0.02228818325248888 0.043007556169815435 1 0.9534883720930233 0.4418604651162791 0.9767441860465116 0.4090909090909091 0.9318181818181818 0.22727272727272727 0.9534883720930233 0.36363636363636365 0.9534883720930233 0.23255813953488372 0.9538054968287526 0.33488372093023255 0.0142121580957787 0.08925031719584993 1 0.8817204301075269 0.5846153846153846 0.8936170212765957 0.537313432835821 0.8541666666666667 0.3448275862068965 0.8817204301075269 0.4848484848484849 0.9111111111111112 0.3636363636363636 0.8844671318538856 0.46304825042859016 0.01858402022510766 0.09447537704369392 1 MLPClassifier GaussianNB logistic (60, 80, 100) constant 500000 lbfgs
40 0.19132018089294434 1.3931004047393798 0.0022244393787120087 0.09965616673795333 0.012306642532348634 0.005034875869750976 0.0004950663228963199 0.0005051953074006412 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.8958333333333334 0.8235294117647058 0.8958333333333334 0.8541666666666666 0.8461538461538461 0.8301886792452831 0.9111111111111111 0.7924528301886793 0.8775510204081632 0.8958333333333334 0.8852965288679574 0.8392341842397336 0.022273678027797773 0.03447723549096509 1 0.9425287356321839 0.8850574712643678 0.9425287356321839 0.8850574712643678 0.9080459770114943 0.896551724137931 0.9310344827586207 0.8505747126436781 0.9310344827586207 0.9425287356321839 0.9310344827586207 0.8919540229885058 0.012591323161038287 0.02961861776258649 1 1.0 0.9767441860465116 1.0 0.9318181818181818 1.0 0.9534883720930233 0.9545454545454546 1.0 0.9906976744186047 0.9726215644820296 0.018604651162790687 0.026487035540576458 1 0.945054945054945 0.8936170212765957 0.945054945054945 0.8913043478260869 0.9166666666666666 0.9072164948453608 0.9318181818181819 0.865979381443299 0.9347826086956522 0.945054945054945 0.9346754694580781 0.9006344380892575 0.010468615732609477 0.0258989288751693 1 RandomForestClassifier MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs balanced sqrt
41 0.004273223876953125 0.20398807525634766 0.00024021906028259382 0.0024655745813987003 0.005591773986816406 0.014611768722534179 0.0009051024902601005 0.0022107979105587586 gini {'gamma': 'scale', 'kernel': 'rbf'} {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.7608695652173914 0.851063829787234 0.7209302325581395 0.8113207547169812 0.78 0.8979591836734694 0.7272727272727273 0.8936170212765957 0.6808510638297872 0.9111111111111111 0.7339847177756091 0.8730143801130783 0.03428952260559052 0.0368402036759761 1 0.7816091954022989 0.8850574712643678 0.7241379310344828 0.8735632183908046 0.8160919540229885 0.9425287356321839 0.735632183908046 0.9195402298850575 0.7011494252873564 0.9310344827586207 0.7517241379310345 0.9103448275862069 0.0415068277822248 0.026611119316759108 1 0.813953488372093 0.9302325581395349 0.7209302325581395 0.9772727272727273 0.8863636363636364 1.0 0.7441860465116279 0.9545454545454546 0.7441860465116279 0.9534883720930233 0.7819238900634249 0.9631078224101481 0.060831031066091654 0.02369940195787108 1 0.7865168539325844 0.888888888888889 0.7209302325581395 0.88659793814433 0.8297872340425532 0.9462365591397849 0.735632183908046 0.9230769230769231 0.711111111111111 0.9318181818181819 0.7567955231104868 0.9153236982136217 0.044793791674645 0.02371393637250391 1 SVC RandomForestClassifier balanced sqrt scale rbf
42 0.0024343490600585937 0.005649709701538086 0.00020424280894957623 0.0005415109101334089 0.006906652450561523 0.0069865226745605465 0.0006866707168031187 0.0005735623344444109 gini best {'criterion': 'gini', 'splitter': 'best'} {'gamma': 'scale', 'kernel': 'rbf'} 0.78 0.7727272727272727 0.7777777777777778 0.6181818181818182 0.803921568627451 0.6666666666666666 0.7777777777777778 0.7647058823529411 0.7843137254901961 0.8857142857142857 0.7847581699346404 0.7415991851285969 0.009874465157950648 0.09286416779158137 1 0.8275862068965517 0.7816091954022989 0.8505747126436781 0.6436781609195402 0.8505747126436781 0.6206896551724138 0.8505747126436781 0.7011494252873564 0.8390804597701149 0.8160919540229885 0.8436781609195403 0.7126436781609196 0.009195402298850562 0.07589689204238703 1 0.9069767441860465 0.7906976744186046 0.9767441860465116 0.7727272727272727 0.9318181818181818 0.5 0.9767441860465116 0.5909090909090909 0.9302325581395349 0.7209302325581395 0.9445031712473572 0.6750528541226215 0.027755209074470696 0.11202002052077396 1 0.8387096774193548 0.7816091954022988 0.8659793814432991 0.6868686868686869 0.8631578947368421 0.5714285714285715 0.8659793814432991 0.6666666666666667 0.851063829787234 0.7948717948717948 0.8569780329660059 0.7002889830476038 0.010667238198752621 0.08182231409702262 1 DecisionTreeClassifier SVC scale rbf
43 0.0013713836669921875 0.00010442733764648438 0.000203211862934177 2.756184771846471e-05 0.006127309799194336 0.004592609405517578 0.00048237270682944654 8.964569010581436e-05 {} {'to_return': 1} 0.7 0.4942528735632184 0.8636363636363636 0.5057471264367817 0.8666666666666667 0.5057471264367817 0.75 0.5057471264367817 0.8666666666666667 0.4942528735632184 0.8093939393939393 0.5011494252873564 0.07070678210619315 0.005631010902949855 1 0.5977011494252874 0.4942528735632184 0.6896551724137931 0.5057471264367817 0.6206896551724138 0.5057471264367817 0.6206896551724138 0.5057471264367817 0.632183908045977 0.4942528735632184 0.632183908045977 0.5011494252873564 0.030842316931031583 0.005631010902949855 1 0.32558139534883723 1.0 0.4418604651162791 1.0 0.29545454545454547 1.0 0.3488372093023256 1.0 0.3023255813953488 1.0 0.3428118393234672 1.0 0.0529635231418738 0.0 1 0.44444444444444453 0.6615384615384615 0.5846153846153846 0.6717557251908397 0.44067796610169496 0.6717557251908397 0.4761904761904763 0.6717557251908397 0.44827586206896547 0.6615384615384615 0.47884082668419314 0.6676688197298885 0.054348897991092215 0.005005416503162351 1 GaussianNB BiasedClassifier 1
44 1.30067138671875 0.002202606201171875 0.3074056367912712 8.199014921929533e-05 0.004353380203247071 0.004653835296630859 0.00042067031364921955 0.0003465135831855013 gini best {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {'criterion': 'gini', 'splitter': 'best'} 0.78 0.9148936170212766 0.7241379310344828 0.8775510204081632 0.86 0.8301886792452831 0.7166666666666667 0.8235294117647058 0.84 0.8235294117647058 0.7841609195402299 0.8539384280408269 0.05838684030347587 0.036569267675365204 1 0.8275862068965517 0.9540229885057471 0.8045977011494253 0.9310344827586207 0.9080459770114943 0.896551724137931 0.8045977011494253 0.8850574712643678 0.896551724137931 0.8850574712643678 0.8482758620689654 0.9103448275862069 0.045048087223598675 0.027586206896551693 1 0.9069767441860465 1.0 0.9767441860465116 1.0 0.9772727272727273 1.0 1.0 0.9767441860465116 0.9767441860465116 0.9675475687103594 0.9906976744186047 0.0315775848667449 0.011392975547828756 1 0.8387096774193548 0.9555555555555556 0.8316831683168318 0.9347826086956522 0.9148936170212766 0.9072164948453608 0.8349514563106796 0.8936170212765957 0.9032258064516129 0.8936170212765957 0.8646927451039511 0.916957740329952 0.03648073624019725 0.0244621645317452 1 MLPClassifier DecisionTreeClassifier logistic (60, 80, 100) constant 500000 lbfgs
45 0.1895288944244385 0.0012935638427734376 0.002014413546974869 0.00027419992467017824 0.013449954986572265 0.005270767211914063 0.0011055928745813503 0.0005503262196998468 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {} 0.8297872340425532 0.9166666666666666 0.8076923076923077 0.75 0.8723404255319149 0.8125 0.7678571428571429 0.8260869565217391 0.84 0.92 0.8235354220247837 0.8450507246376813 0.03476541641217675 0.06511536141307574 1 0.8620689655172413 0.735632183908046 0.8735632183908046 0.5977011494252874 0.896551724137931 0.7241379310344828 0.8505747126436781 0.6781609195402298 0.896551724137931 0.7471264367816092 0.8758620689655172 0.6965517241379311 0.018390804597701173 0.05469138967066811 1 0.9069767441860465 0.5116279069767442 0.9767441860465116 0.27906976744186046 0.9318181818181818 0.5909090909090909 1.0 0.4418604651162791 0.9767441860465116 0.5348837209302325 0.9584566596194503 0.4716701902748414 0.03392493645746217 0.10751188547866333 1 0.8666666666666666 0.6567164179104478 0.8842105263157894 0.4067796610169491 0.9010989010989012 0.6842105263157896 0.8686868686868687 0.5757575757575758 0.9032258064516129 0.6764705882352942 0.8847777538439677 0.5999869538472113 0.015452898133897993 0.10399779742560995 1 RandomForestClassifier GaussianNB balanced sqrt
46 0.004441690444946289 1.244570779800415 0.00011799946083353337 0.3043393347584673 0.006065845489501953 0.004804563522338867 0.0010027435685364772 0.0002211505453833038 {'gamma': 'scale', 'kernel': 'rbf'} {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.7307692307692307 0.9130434782608695 0.7755102040816326 0.7368421052631579 0.7894736842105263 0.8148148148148148 0.6875 0.8541666666666666 0.75 0.7818181818181819 0.7466506238122779 0.8201370493647382 0.03585783913849692 0.06037272378729973 1 0.7816091954022989 0.9425287356321839 0.8160919540229885 0.7471264367816092 0.8850574712643678 0.7126436781609196 0.896551724137931 0.735632183908046 0.8620689655172413 0.7586206896551724 0.8804597701149426 0.03634801908239517 0.041506827782224795 1 0.8837209302325582 0.9767441860465116 0.8837209302325582 0.9767441860465116 0.6818181818181818 1.0 0.7674418604651163 0.9534883720930233 0.6976744186046512 1.0 0.782875264270613 0.9813953488372092 0.08723486075604465 0.017403057612902048 1 0.8 0.9438202247191011 0.826086956521739 0.8399999999999999 0.7317073170731707 0.8979591836734693 0.7252747252747254 0.9010989010989011 0.7228915662650603 0.8775510204081634 0.761192113026939 0.8920858659799269 0.04322901021574641 0.0338123459925887 1 SVC MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs scale rbf
47 0.002072000503540039 0.1939687728881836 0.00021045339651355993 0.003765016415698473 0.004689788818359375 0.012894678115844726 0.0001804676263642823 0.0003168130408899265 gini best {'criterion': 'gini', 'splitter': 'best'} {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.8163265306122449 0.8958333333333334 0.8297872340425532 0.8958333333333334 0.84 0.8301886792452831 0.7962962962962963 0.9318181818181818 0.7884615384615384 0.8775510204081632 0.8141743198825265 0.886244909627659 0.019473734664295157 0.033101913995759895 1 0.8620689655172413 0.9425287356321839 0.8505747126436781 0.9425287356321839 0.8850574712643678 0.896551724137931 0.8620689655172413 0.9425287356321839 0.8505747126436781 0.9310344827586207 0.8620689655172413 0.9310344827586207 0.012591323161038327 0.017806819982562814 1 0.9302325581395349 1.0 0.8863636363636364 1.0 0.9545454545454546 1.0 0.9772727272727273 0.9534883720930233 0.9534883720930233 1.0 0.9403805496828752 0.9906976744186047 0.030836021021931347 0.018604651162790687 1 0.8695652173913043 0.945054945054945 0.8571428571428571 0.945054945054945 0.8936170212765958 0.9072164948453608 0.8775510204081632 0.942528735632184 0.8631578947368421 0.9347826086956522 0.8722068021911525 0.9349275458566174 0.012670763879318698 0.014358480908354091 1 DecisionTreeClassifier RandomForestClassifier balanced sqrt
48 0.001321697235107422 0.005279970169067383 0.0001672977988012324 0.0008765591193435004 0.004941225051879883 0.007296323776245117 0.0004893872700529387 0.0008316393011371611 {} {'gamma': 'scale', 'kernel': 'rbf'} 0.782608695652174 0.7608695652173914 0.85 0.7209302325581395 0.8461538461538461 0.78 0.875 0.7272727272727273 0.9130434782608695 0.6808510638297872 0.8533612040133779 0.7339847177756091 0.04265998708448138 0.03428952260559052 1 0.6551724137931034 0.7816091954022989 0.6551724137931034 0.7241379310344828 0.7011494252873564 0.8160919540229885 0.7701149425287356 0.735632183908046 0.7241379310344828 0.7011494252873564 0.7011494252873562 0.7517241379310345 0.04361762289887419 0.0415068277822248 1 0.4186046511627907 0.813953488372093 0.38636363636363635 0.7209302325581395 0.5 0.8863636363636364 0.6363636363636364 0.7441860465116279 0.4883720930232558 0.7441860465116279 0.4859408033826639 0.7819238900634249 0.08634856159563532 0.060831031066091654 1 0.5454545454545454 0.7865168539325844 0.53125 0.7209302325581395 0.6285714285714286 0.8297872340425532 0.7368421052631579 0.735632183908046 0.6363636363636364 0.711111111111111 0.6156963431305537 0.7567955231104868 0.07393821140149666 0.044793791674645 1 GaussianNB SVC scale rbf
49 1.2938672065734864 0.00011925697326660156 0.41128834648806695 3.990600008791067e-05 0.004164218902587891 0.005774450302124023 0.0005306523186815521 0.0013703348492437616 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {'to_return': 1} 0.7843137254901961 0.4942528735632184 0.9024390243902439 0.4942528735632184 0.84 0.5057471264367817 0.8775510204081632 0.4942528735632184 0.7692307692307693 0.4942528735632184 0.8347069079038745 0.496551724137931 0.051532265568785755 0.004597701149425305 1 0.8390804597701149 0.4942528735632184 0.8735632183908046 0.4942528735632184 0.8850574712643678 0.5057471264367817 0.9195402298850575 0.4942528735632184 0.8275862068965517 0.4942528735632184 0.8689655172413794 0.496551724137931 0.0329947128607065 0.004597701149425305 1 0.9302325581395349 1.0 0.8409090909090909 1.0 0.9545454545454546 1.0 0.9772727272727273 1.0 0.9302325581395349 1.0 0.9266384778012686 1.0 0.04629900468563652 0.0 1 0.851063829787234 0.6615384615384615 0.8705882352941177 0.6615384615384615 0.8936170212765958 0.6717557251908397 0.9247311827956989 0.6615384615384615 0.8421052631578948 0.6615384615384615 0.8764211064623083 0.6635819142689371 0.029947133184237494 0.004086905460951274 1 MLPClassifier BiasedClassifier logistic (60, 80, 100) constant 500000 lbfgs 1
50 0.1928084373474121 0.003740835189819336 0.0018819907485268688 0.0008560569652560701 0.013821220397949219 0.011518573760986328 0.0008887381291720887 0.0018415989280215705 gini best {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {'criterion': 'gini', 'splitter': 'best'} 0.7843137254901961 0.8478260869565217 0.9024390243902439 0.7777777777777778 0.8958333333333334 0.803921568627451 0.86 0.7636363636363637 0.7843137254901961 0.8 0.8453799617407938 0.7986323593996228 0.0519099128757062 0.028668806393340435 1 0.8390804597701149 0.8735632183908046 0.8735632183908046 0.8505747126436781 0.9310344827586207 0.8505747126436781 0.9080459770114943 0.8390804597701149 0.8390804597701149 0.8505747126436781 0.87816091954023 0.8528735632183908 0.0367816091954023 0.011262021805899698 1 0.9302325581395349 0.9069767441860465 0.8409090909090909 0.9767441860465116 0.9772727272727273 0.9318181818181818 0.9772727272727273 0.9767441860465116 0.9302325581395349 0.931183932346723 0.9445031712473572 0.049799018580322194 0.027755209074470696 1 0.851063829787234 0.8764044943820224 0.8705882352941177 0.8659793814432991 0.9347826086956522 0.8631578947368421 0.9148936170212766 0.8571428571428571 0.851063829787234 0.8602150537634408 0.8844784241171029 0.8645799362936923 0.03429752912239728 0.006605500264160805 1 RandomForestClassifier DecisionTreeClassifier balanced sqrt
51 0.004432106018066406 0.0017208576202392579 0.00040587701626017183 0.0001298221367926076 0.005803823471069336 0.007273340225219726 0.00020614299614554025 0.0012454420689525531 {'gamma': 'scale', 'kernel': 'rbf'} {} 0.7111111111111111 0.7 0.825 0.8636363636363636 0.8409090909090909 0.8666666666666667 0.7777777777777778 0.75 0.7608695652173914 0.8666666666666667 0.7831335090030741 0.8093939393939393 0.04648099349397003 0.07070678210619315 1 0.7241379310344828 0.5977011494252874 0.7931034482758621 0.6896551724137931 0.8390804597701149 0.6206896551724138 0.7816091954022989 0.6206896551724138 0.7816091954022989 0.632183908045977 0.7839080459770115 0.632183908045977 0.036637649311515454 0.030842316931031583 1 0.7441860465116279 0.32558139534883723 0.75 0.4418604651162791 0.8409090909090909 0.29545454545454547 0.7954545454545454 0.3488372093023256 0.813953488372093 0.3023255813953488 0.7889006342494714 0.3428118393234672 0.037116391304827384 0.0529635231418738 1 0.7272727272727273 0.44444444444444453 0.7857142857142856 0.5846153846153846 0.8409090909090909 0.44067796610169496 0.7865168539325843 0.4761904761904763 0.7865168539325844 0.44827586206896547 0.7853859623522546 0.47884082668419314 0.03595172186115807 0.054348897991092215 1 SVC GaussianNB scale rbf
52 0.002194929122924805 0.9770734310150146 0.00025078630992778853 0.1658866872160389 0.0047760486602783205 0.005283164978027344 0.0003426548102886713 0.0020174377396788377 gini best {'criterion': 'gini', 'splitter': 'best'} {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.8936170212765957 0.8125 0.8269230769230769 0.6842105263157895 0.8333333333333334 0.8297872340425532 0.875 0.8076923076923077 0.9090909090909091 0.8571428571428571 0.8675928681247831 0.7982665850387014 0.032502175910018874 0.05959896913691404 1 0.9310344827586207 0.8505747126436781 0.8850574712643678 0.7471264367816092 0.8620689655172413 0.8505747126436781 0.9080459770114943 0.8735632183908046 0.9080459770114943 0.8988505747126437 0.8459770114942529 0.023443767878587523 0.05371642043930081 1 0.9767441860465116 0.9069767441860465 0.9772727272727273 0.9069767441860465 0.9090909090909091 0.8863636363636364 0.9545454545454546 0.9767441860465116 0.9090909090909091 0.9767441860465116 0.9453488372093023 0.9307610993657505 0.030720205594027078 0.038292073187628534 1 0.9333333333333332 0.8571428571428572 0.8958333333333334 0.78 0.8695652173913043 0.8571428571428571 0.9130434782608695 0.8842105263157894 0.9090909090909091 0.9130434782608695 0.90417325428195 0.8583079437724747 0.021073418855955303 0.04427588831345019 1 DecisionTreeClassifier MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs
53 0.0010171890258789062 0.19642195701599122 5.780556663777061e-06 0.0017260620755782006 0.004647302627563477 0.013675546646118164 0.00040967131925084886 0.0016129140021678028 gini {} {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.8421052631578947 0.8297872340425532 0.8148148148148148 0.8 0.9 0.8571428571428571 0.8695652173913043 0.7818181818181819 0.8666666666666667 0.84 0.8586303924061361 0.8217496546007185 0.02859538868506317 0.027268760773085165 1 0.6551724137931034 0.8620689655172413 0.6896551724137931 0.8505747126436781 0.7701149425287356 0.896551724137931 0.6896551724137931 0.8620689655172413 0.6206896551724138 0.896551724137931 0.6850574712643678 0.8735632183908045 0.04962536355154688 0.019233563828369583 1 0.37209302325581395 0.9069767441860465 0.5 0.9302325581395349 0.6136363636363636 0.9545454545454546 0.45454545454545453 1.0 0.29545454545454547 0.9767441860465116 0.4471458773784355 0.9536997885835096 0.1088214915607599 0.032891405458087795 1 0.5161290322580645 0.8666666666666666 0.6197183098591549 0.8602150537634408 0.7297297297297297 0.9032258064516128 0.5970149253731344 0.8775510204081634 0.44067796610169496 0.9032258064516129 0.5806539926643557 0.8821768707482993 0.09774869299001981 0.018057694846154125 1 GaussianNB RandomForestClassifier balanced sqrt
54 1.2683510780334473 0.005113554000854492 0.14120442535349456 0.00048391269672356493 0.00443415641784668 0.006591796875 0.000605298136657173 0.0005771967753280567 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {'gamma': 'scale', 'kernel': 'rbf'} 0.8775510204081632 0.7307692307692307 0.84 0.7755102040816326 0.8695652173913043 0.7894736842105263 0.8936170212765957 0.6875 0.9523809523809523 0.75 0.8866228422914032 0.7466506238122779 0.037202143822820034 0.03585783913849692 1 0.9310344827586207 0.7816091954022989 0.8850574712643678 0.8160919540229885 0.8850574712643678 0.7471264367816092 0.9195402298850575 0.7126436781609196 0.9310344827586207 0.735632183908046 0.9103448275862069 0.7586206896551724 0.021069313540026825 0.03634801908239517 1 1.0 0.8837209302325582 0.9545454545454546 0.8837209302325582 0.9090909090909091 0.6818181818181818 0.9545454545454546 0.7674418604651163 0.9090909090909091 0.6976744186046512 0.9454545454545455 0.782875264270613 0.03401506715249039 0.08723486075604465 1 0.9347826086956522 0.8 0.8936170212765958 0.826086956521739 0.888888888888889 0.7317073170731707 0.9230769230769231 0.7252747252747254 0.9302325581395349 0.7228915662650603 0.9141196000155191 0.761192113026939 0.019098510426465782 0.04322901021574641 1 MLPClassifier SVC logistic (60, 80, 100) constant 500000 lbfgs scale rbf
55 0.18851003646850586 0.0001235485076904297 0.001857404059599005 4.161545588715187e-05 0.013000822067260743 0.0059563636779785155 0.000793564808041002 0.001140669767182086 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {'to_return': 1} 0.8958333333333334 0.4942528735632184 0.8775510204081632 0.4942528735632184 0.8695652173913043 0.5057471264367817 0.8979591836734694 0.4942528735632184 0.9555555555555556 0.4942528735632184 0.8992928620723651 0.496551724137931 0.03011869270863508 0.004597701149425305 1 0.9425287356321839 0.4942528735632184 0.9195402298850575 0.4942528735632184 0.8850574712643678 0.5057471264367817 0.9425287356321839 0.4942528735632184 0.9655172413793104 0.4942528735632184 0.9310344827586207 0.496551724137931 0.027200366818848805 0.004597701149425305 1 1.0 0.9772727272727273 1.0 0.9090909090909091 1.0 1.0 0.9772727272727273 1.0 0.9727272727272727 1.0 0.033402132856134255 0.0 1 0.945054945054945 0.6615384615384615 0.9247311827956989 0.6615384615384615 0.888888888888889 0.6717557251908397 0.9462365591397849 0.6615384615384615 0.9662921348314608 0.6615384615384615 0.9342407421421557 0.6635819142689371 0.026212060948629195 0.004086905460951274 1 RandomForestClassifier BiasedClassifier balanced sqrt 1
56 0.00439605712890625 0.002730274200439453 0.0004693768456373561 0.00028384909290979447 0.0059528350830078125 0.009071731567382812 0.0002539582508022052 0.0016121569596659678 gini best {'gamma': 'scale', 'kernel': 'rbf'} {'criterion': 'gini', 'splitter': 'best'} 0.78125 0.8 0.7857142857142857 0.8125 0.7272727272727273 0.8269230769230769 0.7727272727272727 0.7962962962962963 0.7804878048780488 0.7735849056603774 0.7694904181184669 0.8018608557759501 0.021518618958659787 0.017749719885155765 1 0.7126436781609196 0.8505747126436781 0.7701149425287356 0.8390804597701149 0.7241379310344828 0.8850574712643678 0.7701149425287356 0.8620689655172413 0.7586206896551724 0.8390804597701149 0.7471264367816092 0.8551724137931036 0.024110548233796558 0.017203022467926186 1 0.5813953488372093 0.9302325581395349 0.75 0.8863636363636364 0.7272727272727273 0.9772727272727273 0.7727272727272727 0.9772727272727273 0.7272727272727273 0.9534883720930233 0.7117336152219874 0.9449260042283297 0.06731349664174523 0.034092179205079426 1 0.6666666666666666 0.8602150537634408 0.7674418604651163 0.8478260869565218 0.7272727272727273 0.8958333333333334 0.7727272727272727 0.8775510204081632 0.7529411764705882 0.8541666666666667 0.7374099407204742 0.8671184322256252 0.03872421296266713 0.0174412378751083 1 SVC DecisionTreeClassifier scale rbf
57 0.0022286891937255858 0.0012081146240234375 6.970233930780428e-05 3.769378885249778e-05 0.004866743087768554 0.006778430938720703 0.00039462011857565807 0.0010731698438494657 gini best {'criterion': 'gini', 'splitter': 'best'} {} 0.7924528301886793 0.782608695652174 0.9148936170212766 0.85 0.8 0.8461538461538461 0.9130434782608695 0.875 0.7884615384615384 0.9130434782608695 0.841770292786473 0.8533612040133779 0.059068909383946856 0.04265998708448138 1 0.8505747126436781 0.6551724137931034 0.9425287356321839 0.6551724137931034 0.8505747126436781 0.7011494252873564 0.9310344827586207 0.7701149425287356 0.8390804597701149 0.7241379310344828 0.8827586206896552 0.7011494252873562 0.044457654266238426 0.04361762289887419 1 0.9545454545454546 0.4186046511627907 0.9772727272727273 0.38636363636363635 0.9302325581395349 0.5 0.9545454545454546 0.6363636363636364 0.9318181818181818 0.4883720930232558 0.9496828752642706 0.4859408033826639 0.01735483446510314 0.08634856159563532 1 0.865979381443299 0.5454545454545454 0.945054945054945 0.53125 0.8602150537634408 0.6285714285714286 0.9333333333333332 0.7368421052631579 0.8541666666666667 0.6363636363636364 0.8917498760523369 0.6156963431305537 0.03909392622320531 0.07393821140149666 1 DecisionTreeClassifier GaussianNB
58 0.0015948295593261718 1.1008864879608153 0.00012828066395255346 0.38655884335243584 0.005991125106811523 0.004242610931396484 0.0005817005776371807 0.0004474385257136033 {} {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.9285714285714286 0.8163265306122449 0.9166666666666666 0.8409090909090909 0.8214285714285714 0.9130434782608695 0.8571428571428571 0.8431372549019608 0.7692307692307693 0.8 0.8586080586080588 0.8426832709368333 0.0593943365061509 0.038653465483181944 1 0.7701149425287356 0.8620689655172413 0.7241379310344828 0.8390804597701149 0.7126436781609196 0.9310344827586207 0.6666666666666666 0.896551724137931 0.6551724137931034 0.8505747126436781 0.7057471264367816 0.8758620689655172 0.041506827782224795 0.03362928468581103 1 0.5909090909090909 0.9302325581395349 0.5 0.8409090909090909 0.5348837209302325 0.9545454545454546 0.4090909090909091 0.9772727272727273 0.45454545454545453 0.9302325581395349 0.49788583509513745 0.9266384778012686 0.06291194932924528 0.04629900468563652 1 0.7222222222222223 0.8695652173913043 0.6470588235294118 0.8409090909090909 0.647887323943662 0.9333333333333332 0.5538461538461539 0.9052631578947369 0.5714285714285714 0.8602150537634408 0.6284886189940042 0.8818571706583812 0.06055492920625583 0.033147712247499295 1 GaussianNB MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs
59 1.1026182651519776 0.1944653034210205 0.14324052655804487 0.0021298287659961 0.004889726638793945 0.01570138931274414 0.0010175996327541174 0.003420572297116351 gini {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.803921568627451 0.8333333333333334 0.86 0.8809523809523809 0.8636363636363636 0.875 0.8541666666666666 0.8431372549019608 0.82 0.7692307692307693 0.8403449197860964 0.840330747683689 0.023918321397641523 0.03991020263529254 1 0.8505747126436781 0.8735632183908046 0.9080459770114943 0.8620689655172413 0.8735632183908046 0.9080459770114943 0.8850574712643678 0.896551724137931 0.8620689655172413 0.8275862068965517 0.8758620689655172 0.8735632183908046 0.019775460384006058 0.028155054514749183 1 0.9318181818181818 0.9302325581395349 0.9772727272727273 0.8409090909090909 0.8837209302325582 0.9545454545454546 0.9318181818181818 0.9772727272727273 0.9318181818181818 0.9302325581395349 0.9312896405919661 0.9266384778012686 0.029590757115799084 0.04629900468563652 1 0.8631578947368421 0.8791208791208791 0.9148936170212766 0.8604651162790699 0.8735632183908046 0.9130434782608695 0.8913043478260869 0.9052631578947369 0.8723404255319149 0.8421052631578948 0.883051900701385 0.8799995789426902 0.01834415464041346 0.026640173487975972 1 MLPClassifier RandomForestClassifier logistic (60, 80, 100) constant 500000 lbfgs balanced sqrt
60 0.19236540794372559 0.00528559684753418 0.002878943916901777 0.00022586531460856187 0.013001012802124023 0.006539630889892578 0.0010413261131587454 0.0005519733850803031 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {'gamma': 'scale', 'kernel': 'rbf'} 0.8936170212765957 0.7111111111111111 0.9555555555555556 0.825 0.8076923076923077 0.8409090909090909 0.8888888888888888 0.7777777777777778 0.7884615384615384 0.7608695652173914 0.8668430623749772 0.7831335090030741 0.06118046233689892 0.04648099349397003 1 0.9195402298850575 0.7241379310344828 0.9655172413793104 0.7931034482758621 0.8735632183908046 0.8390804597701149 0.896551724137931 0.7816091954022989 0.8390804597701149 0.7816091954022989 0.8988505747126437 0.7839080459770115 0.042637326416072215 0.036637649311515454 1 0.9545454545454546 0.7441860465116279 0.9772727272727273 0.75 0.9767441860465116 0.8409090909090909 0.9090909090909091 0.7954545454545454 0.9318181818181818 0.813953488372093 0.9498942917547568 0.7889006342494714 0.026396176455870207 0.037116391304827384 1 0.9230769230769231 0.7272727272727273 0.9662921348314608 0.7857142857142856 0.8842105263157894 0.8409090909090909 0.8988764044943819 0.7865168539325843 0.8541666666666667 0.7865168539325844 0.9053245310770445 0.7853859623522546 0.03778016080904847 0.03595172186115807 1 RandomForestClassifier SVC balanced sqrt scale rbf
61 0.004561805725097656 0.00013723373413085938 0.00034113593490975005 4.043865868458364e-05 0.006715822219848633 0.005619573593139649 0.0013517431568828573 0.00020906818485107281 {'gamma': 'scale', 'kernel': 'rbf'} {'to_return': 1} 0.8085106382978723 0.4942528735632184 0.813953488372093 0.5057471264367817 0.7 0.5057471264367817 0.8333333333333334 0.5057471264367817 0.7 0.4942528735632184 0.7711594920006597 0.5011494252873564 0.05868452505524505 0.005631010902949855 1 0.8275862068965517 0.4942528735632184 0.8045977011494253 0.5057471264367817 0.6896551724137931 0.5057471264367817 0.7701149425287356 0.5057471264367817 0.7241379310344828 0.4942528735632184 0.7632183908045976 0.5011494252873564 0.0506790981265485 0.005631010902949855 1 0.8636363636363636 1.0 0.7954545454545454 1.0 0.6511627906976745 1.0 0.6818181818181818 1.0 0.7954545454545454 1.0 0.7575052854122621 1.0 0.07897007315826317 0.0 1 0.8351648351648351 0.6615384615384615 0.8045977011494252 0.6717557251908397 0.674698795180723 0.6717557251908397 0.7499999999999999 0.6717557251908397 0.7446808510638298 0.6615384615384615 0.7618284365117626 0.6676688197298885 0.055195947968182155 0.005005416503162351 1 SVC BiasedClassifier scale rbf 1
62 0.0021810054779052733 0.0026053905487060545 0.00016655870743876805 0.00012377423322753301 0.004390907287597656 0.0060803890228271484 0.00018454117977101525 0.0012691567708560461 gini best {'criterion': 'gini', 'splitter': 'best'} 0.7735849056603774 0.9130434782608695 0.84 0.8269230769230769 0.8125 0.8695652173913043 0.7818181818181819 0.875 0.8367346938775511 0.9111111111111111 0.808927556271222 0.8791285767372724 0.02733319282764477 0.03164496879137249 1 0.8390804597701149 0.9425287356321839 0.896551724137931 0.8850574712643678 0.8505747126436781 0.8850574712643678 0.8620689655172413 0.9080459770114943 0.8735632183908046 0.9195402298850575 0.864367816091954 0.9080459770114941 0.019775460384006058 0.021808811449437075 1 0.9534883720930233 0.9767441860465116 0.9767441860465116 0.9772727272727273 0.9069767441860465 0.9090909090909091 1.0 0.9545454545454546 0.9318181818181818 0.9538054968287526 0.9498942917547568 0.032669833944515725 0.026396176455870207 1 0.8541666666666667 0.9438202247191011 0.9032258064516129 0.8958333333333334 0.8571428571428572 0.888888888888889 0.8775510204081634 0.9130434782608695 0.8817204301075268 0.9213483146067416 0.8747613561553654 0.9125868479617869 0.017894069465452515 0.01946673649737717 1 DecisionTreeClassifier
63 0.0014212608337402343 0.0010817527770996093 0.000418630747539305 4.825167957714567e-05 0.0058075904846191405 0.004527091979980469 0.0006960161121911706 0.00010537399941841686 {} 0.8260869565217391 0.8421052631578947 0.7692307692307693 0.8148148148148148 0.7272727272727273 0.9 0.8571428571428571 0.8695652173913043 0.782608695652174 0.8666666666666667 0.7924684011640534 0.8586303924061361 0.04516784197918672 0.02859538868506317 1 0.6781609195402298 0.6551724137931034 0.5862068965517241 0.6896551724137931 0.6206896551724138 0.7701149425287356 0.6781609195402298 0.6896551724137931 0.6436781609195402 0.6206896551724138 0.6413793103448275 0.6850574712643678 0.03516565181788127 0.04962536355154688 1 0.4418604651162791 0.37209302325581395 0.23255813953488372 0.5 0.37209302325581395 0.6136363636363636 0.4186046511627907 0.45454545454545453 0.4090909090909091 0.29545454545454547 0.37484143763213534 0.4471458773784355 0.07460815759375224 0.1088214915607599 1 0.5757575757575758 0.5161290322580645 0.3571428571428571 0.6197183098591549 0.49230769230769234 0.7297297297297297 0.5625000000000001 0.5970149253731344 0.537313432835821 0.44067796610169496 0.5050043116087892 0.5806539926643557 0.07922104738541158 0.09774869299001981 1 GaussianNB
64 1.2932703495025635 1.5829660892486572 0.3070269149927146 0.4694879594316442 0.00411520004272461 0.004829883575439453 0.0005692206222851011 0.0011689629137479325 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.7735849056603774 0.8723404255319149 0.7636363636363637 0.9111111111111111 0.74 0.8297872340425532 0.86 0.8235294117647058 0.8269230769230769 0.9090909090909091 0.7928288692439637 0.8691718183082389 0.044017718586866796 0.03740816198191002 1 0.8390804597701149 0.9080459770114943 0.8390804597701149 0.9195402298850575 0.7816091954022989 0.8505747126436781 0.9195402298850575 0.8735632183908046 0.8850574712643678 0.9080459770114943 0.8528735632183908 0.8919540229885058 0.04677468953879495 0.025804533701889256 1 0.9534883720930233 0.9767441860465116 0.9318181818181818 0.8604651162790697 0.8863636363636364 1.0 0.9545454545454546 0.9772727272727273 0.9090909090909091 0.9535940803382663 0.927061310782241 0.048832632973398654 0.026289281428004012 1 0.8541666666666667 0.9111111111111112 0.8571428571428571 0.9213483146067416 0.7956989247311828 0.8571428571428571 0.924731182795699 0.8842105263157896 0.8958333333333334 0.9090909090909091 0.8655145929339477 0.8965807436534817 0.04358651041683021 0.02319240202332199 1 MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs
65 0.19373579025268556 0.19327588081359864 0.0015811447448819665 0.0014020858403075208 0.01365489959716797 0.013039779663085938 0.0011622480912881331 0.0014272566515328624 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.8367346938775511 0.875 0.8571428571428571 0.8958333333333334 0.7916666666666666 0.8888888888888888 0.8958333333333334 0.8979591836734694 0.8461538461538461 0.9555555555555556 0.8455062794348509 0.9026473922902495 0.03359847095844642 0.027645466738354288 1 0.8850574712643678 0.9195402298850575 0.9080459770114943 0.9310344827586207 0.8275862068965517 0.896551724137931 0.9425287356321839 0.9080459770114943 0.9655172413793104 0.8942528735632184 0.9310344827586207 0.0380527479476939 0.022988505747126443 1 0.9534883720930233 0.9767441860465116 0.9767441860465116 0.9772727272727273 0.8837209302325582 0.9090909090909091 1.0 1.0 0.9772727272727273 0.9627906976744185 0.968076109936575 0.043133109281375356 0.03079831086240959 1 0.8913043478260869 0.923076923076923 0.9130434782608695 0.9347826086956522 0.8351648351648352 0.8988764044943819 0.945054945054945 0.9462365591397849 0.9166666666666666 0.9662921348314608 0.9002468545946808 0.9338529260476406 0.03676075749165613 0.02256546141738577 1 RandomForestClassifier balanced sqrt
66 0.0045135498046875 0.005579805374145508 0.00022925561941214 0.00014887911437197273 0.005884504318237305 0.006759786605834961 0.00025680262489860436 0.0006649470252304854 {'gamma': 'scale', 'kernel': 'rbf'} 0.6666666666666666 0.78125 0.7441860465116279 0.7857142857142857 0.7674418604651163 0.7272727272727273 0.75 0.7727272727272727 0.782608695652174 0.7804878048780488 0.7421806538591169 0.7694904181184669 0.0401000777003621 0.021518618958659787 1 0.7126436781609196 0.7471264367816092 0.7701149425287356 0.7701149425287356 0.7241379310344828 0.7816091954022989 0.7701149425287356 0.7931034482758621 0.7586206896551724 0.760919540229885 0.7471264367816092 0.028527985393082433 0.024110548233796558 1 0.8372093023255814 0.5813953488372093 0.7441860465116279 0.75 0.7674418604651163 0.7272727272727273 0.8372093023255814 0.7727272727272727 0.8181818181818182 0.7272727272727273 0.8008456659619452 0.7117336152219874 0.03813475310235768 0.06731349664174523 1 0.7422680412371134 0.6666666666666666 0.7441860465116278 0.7674418604651163 0.7674418604651162 0.7272727272727273 0.7912087912087912 0.7727272727272727 0.8 0.7529411764705882 0.7690209478845297 0.7374099407204742 0.02360926055055637 0.03872421296266713 1 SVC scale rbf
67 0.002174854278564453 0.00011072158813476562 0.00011694590492603858 4.851020752159076e-05 0.0051247596740722655 0.008330488204956054 0.0005745828873581929 0.0013405276019831799 gini best {'criterion': 'gini', 'splitter': 'best'} {'to_return': 1} 0.8695652173913043 0.4942528735632184 0.8478260869565217 0.5057471264367817 0.8627450980392157 0.5057471264367817 0.82 0.5057471264367817 0.8627450980392157 0.5057471264367817 0.8525763000852514 0.5034482758620691 0.017771955811906083 0.004597701149425305 1 0.896551724137931 0.4942528735632184 0.8620689655172413 0.5057471264367817 0.9195402298850575 0.5057471264367817 0.8735632183908046 0.5057471264367817 0.9195402298850575 0.5057471264367817 0.8942528735632184 0.5034482758620691 0.02344376787858752 0.004597701149425305 1 0.9302325581395349 1.0 0.8863636363636364 1.0 1.0 0.9534883720930233 1.0 1.0 0.9540169133192389 1.0 0.04329394717822427 0.0 1 0.898876404494382 0.6615384615384615 0.8666666666666666 0.6717557251908397 0.9263157894736842 0.6717557251908397 0.8817204301075269 0.6717557251908397 0.9263157894736842 0.6717557251908397 0.8999790160431889 0.6697122724603641 0.02379729229571924 0.004086905460951274 1 DecisionTreeClassifier BiasedClassifier 1
68 0.0010544776916503907 0.0037708282470703125 3.80763950719563e-05 0.001065721309113856 0.005653572082519531 0.0054857730865478516 0.0005627015960399458 0.0012596444672464688 gini best {} {'criterion': 'gini', 'splitter': 'best'} 0.8260869565217391 0.7924528301886793 0.9 0.9148936170212766 0.8695652173913043 0.7843137254901961 0.8928571428571429 0.8936170212765957 0.8148148148148148 0.7884615384615384 0.8606648263170001 0.8347477464876573 0.03452729566153893 0.05720806857413431 1 0.6781609195402298 0.8505747126436781 0.6781609195402298 0.9425287356321839 0.6896551724137931 0.8390804597701149 0.7586206896551724 0.9195402298850575 0.6896551724137931 0.8390804597701149 0.6988505747126437 0.87816091954023 0.03032392174315613 0.04397960107979078 1 0.4418604651162791 0.9545454545454546 0.4090909090909091 0.9772727272727273 0.45454545454545453 0.9302325581395349 0.5813953488372093 0.9545454545454546 0.5 0.9318181818181818 0.47737843551797043 0.9496828752642706 0.05962769648938314 0.01735483446510314 1 0.5757575757575758 0.865979381443299 0.5625000000000001 0.945054945054945 0.5970149253731344 0.851063829787234 0.7042253521126761 0.9230769230769231 0.6197183098591549 0.8541666666666667 0.6118432326205083 0.8878683492058137 0.05010644823946961 0.03867674594419678 1 GaussianNB DecisionTreeClassifier
69 1.2718564510345458 0.003181314468383789 0.32077819343379 0.0008955317507939424 0.004101800918579102 0.00865950584411621 0.00046629674815160143 0.0010530350346202528 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {} 0.803921568627451 0.9285714285714286 0.9512195121951219 0.9166666666666666 0.9148936170212766 0.8214285714285714 0.8723404255319149 0.8571428571428571 0.7586206896551724 0.7692307692307693 0.8601991626061875 0.8586080586080588 0.07058179850298994 0.0593943365061509 1 0.8620689655172413 0.7701149425287356 0.9195402298850575 0.7241379310344828 0.9425287356321839 0.7126436781609196 0.9080459770114943 0.6666666666666666 0.8390804597701149 0.6551724137931034 0.8942528735632184 0.7057471264367816 0.03805274794769391 0.041506827782224795 1 0.9534883720930233 0.5909090909090909 0.8863636363636364 0.5 0.9772727272727273 0.5348837209302325 0.9534883720930233 0.4090909090909091 1.0 0.45454545454545453 0.9541226215644819 0.49788583509513745 0.038033526964117256 0.06291194932924528 1 0.8723404255319148 0.7222222222222223 0.9176470588235294 0.6470588235294118 0.945054945054945 0.647887323943662 0.9111111111111112 0.5538461538461539 0.8627450980392156 0.5714285714285714 0.9017797277121431 0.6284886189940042 0.03033798337188889 0.06055492920625583 1 MLPClassifier GaussianNB logistic (60, 80, 100) constant 500000 lbfgs
70 0.18883519172668456 1.6712066650390625 0.0008676456576691585 0.5435026584710643 0.016011619567871095 0.005199718475341797 0.0017325355898029666 0.0007911147565816734 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.8723404255319149 0.8163265306122449 0.8666666666666667 0.8461538461538461 0.88 0.8163265306122449 0.8863636363636364 0.8125 0.8979591836734694 0.8076923076923077 0.8806659824471375 0.8197998430141288 0.010929385542622658 0.013553902752863936 1 0.9080459770114943 0.8505747126436781 0.8735632183908046 0.9080459770114943 0.9310344827586207 0.8620689655172413 0.896551724137931 0.8390804597701149 0.9425287356321839 0.8620689655172413 0.9103448275862067 0.864367816091954 0.024545007475934022 0.02344376787858753 1 0.9534883720930233 0.9090909090909091 0.8863636363636364 1.0 1.0 0.9302325581395349 0.9069767441860465 0.8863636363636364 1.0 0.9545454545454546 0.9493657505285412 0.936046511627907 0.04671347706089014 0.03914346489990062 1 0.9111111111111112 0.8602150537634408 0.8764044943820225 0.9166666666666666 0.9361702127659575 0.8695652173913043 0.896551724137931 0.8478260869565218 0.9462365591397849 0.875 0.9132948203073614 0.8738546049555869 0.02551249787656514 0.02330709981695928 1 RandomForestClassifier MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs balanced sqrt
71 0.004232358932495117 0.24261794090270997 0.00012370137460271448 0.0027998896084300315 0.0057848930358886715 0.013295841217041016 0.0007042767085316053 0.0005744904596258133 gini {'gamma': 'scale', 'kernel': 'rbf'} {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.7380952380952381 0.851063829787234 0.7560975609756098 0.9555555555555556 0.8095238095238095 0.8076923076923077 0.72 0.9130434782608695 0.7560975609756098 0.7884615384615384 0.7559628339140534 0.8631633419515012 0.029937905118780302 0.06297323624199293 1 0.735632183908046 0.8735632183908046 0.735632183908046 0.9655172413793104 0.7931034482758621 0.8735632183908046 0.7586206896551724 0.9310344827586207 0.735632183908046 0.8390804597701149 0.7517241379310345 0.8965517241379309 0.02252404361179935 0.045398661283060915 1 0.7209302325581395 0.9090909090909091 0.7045454545454546 0.9772727272727273 0.7727272727272727 0.9767441860465116 0.8372093023255814 0.9545454545454546 0.7045454545454546 0.9318181818181818 0.7479915433403805 0.9498942917547568 0.05114509679539022 0.026396176455870207 1 0.7294117647058824 0.8791208791208791 0.7294117647058823 0.9662921348314608 0.7906976744186046 0.8842105263157894 0.7741935483870969 0.9333333333333332 0.7294117647058823 0.8541666666666667 0.7506253033846698 0.903424708053626 0.026500187782749762 0.04057845422811123 1 SVC RandomForestClassifier balanced sqrt scale rbf
72 0.002027750015258789 0.005695199966430664 0.00014001793569640337 0.0010135756854755902 0.004712867736816406 0.007267904281616211 0.0003577187549815837 0.0006372510619464208 gini best {'criterion': 'gini', 'splitter': 'best'} {'gamma': 'scale', 'kernel': 'rbf'} 0.7818181818181819 0.8085106382978723 0.7857142857142857 0.813953488372093 0.8269230769230769 0.7 0.8888888888888888 0.8333333333333334 0.8148148148148148 0.7 0.8196318496318495 0.7711594920006597 0.038608750101800454 0.05868452505524505 1 0.8505747126436781 0.8275862068965517 0.8620689655172413 0.8045977011494253 0.896551724137931 0.6896551724137931 0.896551724137931 0.7701149425287356 0.8850574712643678 0.7241379310344828 0.8781609195402298 0.7632183908045976 0.018675950355484996 0.0506790981265485 1 0.9772727272727273 0.8636363636363636 1.0 0.7954545454545454 1.0 0.6511627906976745 0.9090909090909091 0.6818181818181818 1.0 0.7954545454545454 0.9772727272727273 0.7575052854122621 0.035208939510976534 0.07897007315826317 1 0.8686868686868686 0.8351648351648351 0.88 0.8045977011494252 0.9052631578947368 0.674698795180723 0.8988764044943819 0.7499999999999999 0.8979591836734693 0.7446808510638298 0.8901571229498912 0.7618284365117626 0.013632529322759126 0.055195947968182155 1 DecisionTreeClassifier SVC scale rbf
73 0.0010700702667236328 9.436607360839844e-05 7.968338420942486e-05 1.1031749002050198e-05 0.004435539245605469 0.005015230178833008 0.00013211435868668643 0.000552628337985854 {} {'to_return': 1} 0.875 0.5057471264367817 0.8260869565217391 0.5057471264367817 0.8 0.4942528735632184 0.8620689655172413 0.5057471264367817 0.8260869565217391 0.5057471264367817 0.8378485757121439 0.5034482758620691 0.02711472538797047 0.004597701149425304 1 0.632183908045977 0.5057471264367817 0.6666666666666666 0.5057471264367817 0.6781609195402298 0.4942528735632184 0.735632183908046 0.5057471264367817 0.6666666666666666 0.5057471264367817 0.6758620689655171 0.5034482758620691 0.033629284685811014 0.004597701149425304 1 0.3181818181818182 1.0 0.4318181818181818 1.0 0.46511627906976744 1.0 0.5681818181818182 1.0 0.4318181818181818 1.0 0.44302325581395346 1.0 0.07998657303214383 0.0 1 0.4666666666666667 0.6717557251908397 0.5671641791044776 0.6717557251908397 0.5882352941176471 0.6615384615384615 0.6849315068493151 0.6717557251908397 0.5671641791044776 0.6717557251908397 0.5748323651685168 0.6697122724603641 0.06945340883021155 0.004086905460951274 1 GaussianNB BiasedClassifier 1
74 1.085054349899292 0.0027812957763671876 0.15827320568582814 0.0004336907641480536 0.0044189453125 0.007120752334594726 0.0005321580576924798 0.0010501252301157967 gini best {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {'criterion': 'gini', 'splitter': 'best'} 0.7592592592592593 0.7454545454545455 0.8461538461538461 0.8113207547169812 0.803921568627451 0.8297872340425532 0.8269230769230769 0.8235294117647058 0.8367346938775511 0.8119574325456677 0.8100440610029415 0.029559934015403234 0.033348221568675535 1 0.8160919540229885 0.9080459770114943 0.8850574712643678 0.8620689655172413 0.8850574712643678 0.896551724137931 0.8735632183908046 0.8689655172413794 0.8666666666666666 0.030497699221658854 0.02777711718067719 1 0.9318181818181818 0.9534883720930233 1.0 0.9534883720930233 0.9069767441860465 0.9772727272727273 1.0 0.9545454545454546 0.9318181818181818 0.9634249471458773 0.9584566596194503 0.023263980883870366 0.03697613374460007 1 0.836734693877551 0.8367346938775511 0.9166666666666666 0.8958333333333334 0.8723404255319148 0.8666666666666666 0.8958333333333334 0.9052631578947368 0.8842105263157896 0.8817204301075268 0.8811571291450511 0.877243656375963 0.026595971410552314 0.024097961788466172 1 MLPClassifier DecisionTreeClassifier logistic (60, 80, 100) constant 500000 lbfgs
75 0.19232707023620604 0.0011383533477783204 0.00213496251133884 0.00010591363725564466 0.014331436157226563 0.004954624176025391 0.001831241405672576 0.00026727245489039053 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {} 0.8148148148148148 0.8260869565217391 0.88 0.7692307692307693 0.8571428571428571 0.7272727272727273 0.8775510204081632 0.8571428571428571 0.8979591836734694 0.782608695652174 0.865493575207861 0.7924684011640534 0.028453138052690893 0.04516784197918672 1 0.8850574712643678 0.6781609195402298 0.9310344827586207 0.5862068965517241 0.9080459770114943 0.6206896551724138 0.9195402298850575 0.6781609195402298 0.9425287356321839 0.6436781609195402 0.9172413793103449 0.6413793103448275 0.019775460384006016 0.03516565181788127 1 1.0 0.4418604651162791 1.0 0.23255813953488372 0.9767441860465116 0.37209302325581395 0.9772727272727273 0.4186046511627907 1.0 0.4090909090909091 0.9908033826638478 0.37484143763213534 0.011264749940598078 0.07460815759375224 1 0.8979591836734693 0.5757575757575758 0.9361702127659575 0.3571428571428571 0.9130434782608695 0.49230769230769234 0.9247311827956989 0.5625000000000001 0.9462365591397849 0.537313432835821 0.923628123327156 0.5050043116087892 0.016974046610632783 0.07922104738541158 1 RandomForestClassifier GaussianNB balanced sqrt
76 0.0048328876495361325 1.995161199569702 0.00019966701802444185 0.7529384156967494 0.00673069953918457 0.005998659133911133 0.0008874171344694884 0.0014307593401110862 {'gamma': 'scale', 'kernel': 'rbf'} {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.7446808510638298 0.7884615384615384 0.7954545454545454 0.7636363636363637 0.7727272727272727 0.7755102040816326 0.7959183673469388 0.8431372549019608 0.7222222222222222 0.8571428571428571 0.7662006517629619 0.8055776436448705 0.02890928495781439 0.037485406728924545 1 0.7586206896551724 0.8505747126436781 0.7931034482758621 0.8390804597701149 0.7816091954022989 0.8160919540229885 0.8275862068965517 0.9080459770114943 0.7701149425287356 0.896551724137931 0.7862068965517242 0.8620689655172413 0.023668115266636796 0.03486379514506461 1 0.7954545454545454 0.9534883720930233 0.7954545454545454 0.9767441860465116 0.7906976744186046 0.8837209302325582 0.8863636363636364 1.0 0.8863636363636364 0.9545454545454546 0.8308668076109937 0.9536997885835096 0.04534624987074944 0.038916716962248216 1 0.7692307692307692 0.8631578947368421 0.7954545454545455 0.8571428571428571 0.7816091954022988 0.826086956521739 0.8387096774193548 0.9148936170212766 0.7959183673469388 0.9032258064516128 0.7961845109707815 0.8729014263748655 0.023443282540081302 0.03230410377327937 1 SVC MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs scale rbf
77 0.0021222591400146484 0.21839437484741211 0.00019748915384906377 0.0018267138045557631 0.005195093154907226 0.014053153991699218 0.00046344108327378027 0.0007263422290151501 gini best {'criterion': 'gini', 'splitter': 'best'} {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.8636363636363636 0.8367346938775511 0.7959183673469388 0.84 0.7924528301886793 0.7647058823529411 0.9523809523809523 0.86 0.8431372549019608 0.8269230769230769 0.849505153690979 0.8256727306307138 0.05822401991154598 0.03232497194300956 1 0.8735632183908046 0.8850574712643678 0.8390804597701149 0.896551724137931 0.8620689655172413 0.8160919540229885 0.9425287356321839 0.9195402298850575 0.9080459770114943 0.8850574712643678 0.8850574712643677 0.8804597701149424 0.03634801908239516 0.03455930201924806 1 0.8837209302325582 0.9534883720930233 0.9069767441860465 0.9767441860465116 0.9767441860465116 0.9069767441860465 0.9302325581395349 1.0 1.0 0.9772727272727273 0.9395348837209301 0.9628964059196617 0.04313310928137536 0.0315931511332815 1 0.8735632183908046 0.8913043478260869 0.8478260869565216 0.9032258064516129 0.875 0.8297872340425532 0.9411764705882352 0.924731182795699 0.9148936170212766 0.8958333333333334 0.8904918785913676 0.888976380889857 0.033200362403427226 0.031740334968446686 1 DecisionTreeClassifier RandomForestClassifier balanced sqrt
78 0.001080465316772461 0.005539226531982422 6.112791999116283e-05 0.0003132011288837995 0.005242586135864258 0.006952476501464844 0.0002060961688989271 0.0005806192810137669 {} {'gamma': 'scale', 'kernel': 'rbf'} 0.8333333333333334 0.6666666666666666 0.8125 0.7441860465116279 0.6666666666666666 0.7674418604651163 0.8947368421052632 0.75 0.8260869565217391 0.782608695652174 0.8066647597254004 0.7421806538591169 0.07547005012658593 0.0401000777003621 1 0.6896551724137931 0.7126436781609196 0.6206896551724138 0.7471264367816092 0.6091954022988506 0.7701149425287356 0.6781609195402298 0.7816091954022989 0.6781609195402298 0.7931034482758621 0.6551724137931034 0.760919540229885 0.03331350976135501 0.028527985393082433 1 0.46511627906976744 0.8372093023255814 0.3023255813953488 0.7441860465116279 0.4186046511627907 0.7674418604651163 0.3953488372093023 0.8372093023255814 0.4418604651162791 0.8181818181818182 0.4046511627906977 0.8008456659619452 0.05620021383067244 0.03813475310235768 1 0.5970149253731343 0.7422680412371134 0.44067796610169485 0.7441860465116278 0.5142857142857143 0.7674418604651162 0.5483870967741935 0.7912087912087912 0.5757575757575758 0.8 0.5352246556584626 0.7690209478845297 0.05479365049210219 0.02360926055055637 1 GaussianNB SVC scale rbf
79 1.1959696292877198 0.000119781494140625 0.14080829208907036 2.4980806525700427e-05 0.004356956481933594 0.0058937549591064455 0.0005870528652363635 0.000389733609456147 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {'to_return': 1} 0.7872340425531915 0.4942528735632184 0.8085106382978723 0.4942528735632184 0.8113207547169812 0.4942528735632184 0.9130434782608695 0.4942528735632184 0.8431372549019608 0.5057471264367817 0.832649233746175 0.496551724137931 0.04398488044286019 0.004597701149425304 1 0.8160919540229885 0.4942528735632184 0.8390804597701149 0.4942528735632184 0.8850574712643678 0.4942528735632184 0.9425287356321839 0.4942528735632184 0.9080459770114943 0.5057471264367817 0.8781609195402298 0.496551724137931 0.04574654883248827 0.004597701149425304 1 0.8604651162790697 1.0 0.8837209302325582 1.0 1.0 0.9767441860465116 1.0 1.0 0.9441860465116279 1.0 0.05992604058941919 0.0 1 0.8222222222222222 0.6615384615384615 0.8444444444444444 0.6615384615384615 0.8958333333333334 0.6615384615384615 0.9438202247191011 0.6615384615384615 0.9148936170212766 0.6717557251908397 0.8842427683480756 0.6635819142689371 0.04484137320821887 0.004086905460951274 1 MLPClassifier BiasedClassifier logistic (60, 80, 100) constant 500000 lbfgs 1
80 0.1951068878173828 0.002464008331298828 0.0022881152175649425 0.0001832424088848076 0.013331174850463867 0.0056017875671386715 0.0009673283529581934 0.0003938460344191295 gini best {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {'criterion': 'gini', 'splitter': 'best'} 0.8837209302325582 0.8333333333333334 0.7959183673469388 0.8478260869565217 0.8269230769230769 0.88 0.9534883720930233 0.82 0.8431372549019608 0.8627450980392157 0.8606376002995114 0.8487809036658142 0.05437943771859323 0.021154244114916888 1 0.8850574712643678 0.8735632183908046 0.8390804597701149 0.8620689655172413 0.896551724137931 0.9310344827586207 0.9540229885057471 0.8735632183908046 0.9080459770114943 0.9195402298850575 0.8965517241379309 0.8919540229885057 0.03706785171631516 0.027777117180677165 1 0.8837209302325582 0.9302325581395349 0.9069767441860465 0.8863636363636364 1.0 0.9534883720930233 1.0 0.9488372093023255 0.9540169133192389 0.04743273966132824 0.04329394717822427 1 0.8837209302325582 0.8791208791208791 0.8478260869565216 0.8666666666666666 0.9052631578947368 0.9361702127659575 0.9534883720930233 0.8817204301075269 0.9148936170212766 0.9263157894736842 0.9010384328396233 0.897998795626943 0.034906332402911494 0.02779198606682888 1 RandomForestClassifier DecisionTreeClassifier balanced sqrt
81 0.004303455352783203 0.0011179447174072266 0.00023048815720343765 5.294245469650377e-05 0.005551338195800781 0.005008077621459961 0.00023452182629605712 0.0004570369266305592 {'gamma': 'scale', 'kernel': 'rbf'} {} 0.8108108108108109 0.8260869565217391 0.6888888888888889 0.9 0.7391304347826086 0.8695652173913043 0.8809523809523809 0.8928571428571429 0.75 0.8148148148148148 0.7739565030869378 0.8606648263170001 0.06607514803168148 0.03452729566153893 1 0.7701149425287356 0.6781609195402298 0.7011494252873564 0.6781609195402298 0.7586206896551724 0.6896551724137931 0.8735632183908046 0.7586206896551724 0.7586206896551724 0.6896551724137931 0.7724137931034484 0.6988505747126437 0.05602785106645491 0.03032392174315613 1 0.6976744186046512 0.4418604651162791 0.7209302325581395 0.4090909090909091 0.7906976744186046 0.45454545454545453 0.8604651162790697 0.5813953488372093 0.7674418604651163 0.5 0.7674418604651163 0.47737843551797043 0.05696487773914367 0.05962769648938314 1 0.75 0.5757575757575758 0.7045454545454545 0.5625000000000001 0.7640449438202247 0.5970149253731344 0.8705882352941177 0.7042253521126761 0.7586206896551724 0.6197183098591549 0.769559864662994 0.6118432326205083 0.054710645038602346 0.05010644823946961 1 SVC GaussianNB scale rbf
82 0.0020093917846679688 1.6133128643035888 0.00011963995388653626 0.4708061606935623 0.004314136505126953 0.008328628540039063 0.00013841124847784088 0.0028030366175952363 gini best {'criterion': 'gini', 'splitter': 'best'} {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.8809523809523809 0.8367346938775511 0.8541666666666666 0.8837209302325582 0.803921568627451 0.8775510204081632 0.803921568627451 0.8723404255319149 0.8979591836734694 0.88 0.8481842737094837 0.8700694140100375 0.03874391219806552 0.017072292916992474 1 0.8735632183908046 0.8850574712643678 0.896551724137931 0.8735632183908046 0.8620689655172413 0.9195402298850575 0.8620689655172413 0.9080459770114943 0.9425287356321839 0.9310344827586207 0.8873563218390805 0.903448275862069 0.030323921743156134 0.021318663208036076 1 0.8604651162790697 0.9534883720930233 0.9534883720930233 0.8636363636363636 0.9534883720930233 0.9772727272727273 0.9534883720930233 1.0 0.9441860465116279 0.9495771670190274 0.04557190219131496 0.04631613731716571 1 0.8705882352941177 0.8913043478260869 0.9010989010989011 0.8735632183908046 0.8723404255319148 0.9247311827956989 0.8723404255319148 0.9111111111111112 0.9462365591397849 0.9361702127659575 0.8925209093193267 0.9073760145779317 0.02917018690474438 0.022564850176524636 1 DecisionTreeClassifier MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs
83 0.0011737823486328125 0.21513056755065918 0.0002477355771924818 0.0033775328263650475 0.006713438034057617 0.019371461868286134 0.0003002526020621795 0.0007154497423913386 gini {} {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.8181818181818182 0.8367346938775511 0.7391304347826086 0.8888888888888888 0.7916666666666666 0.8979591836734694 0.9 0.9069767441860465 0.75 0.88 0.7997957839262186 0.8821119021251912 0.05762797654884553 0.024408504303677008 1 0.6666666666666666 0.8850574712643678 0.632183908045977 0.896551724137931 0.6666666666666666 0.9425287356321839 0.6896551724137931 0.9080459770114943 0.632183908045977 0.9310344827586207 0.657471264367816 0.9126436781609195 0.022288183252488873 0.021318663208036076 1 0.4186046511627907 0.9534883720930233 0.3953488372093023 0.9090909090909091 0.4418604651162791 1.0 0.4186046511627907 0.9069767441860465 0.4090909090909091 1.0 0.41670190274841434 0.9539112050739957 0.015192595537608194 0.041134499812313964 1 0.5538461538461539 0.8913043478260869 0.5151515151515151 0.8988764044943819 0.5671641791044777 0.9462365591397849 0.5714285714285715 0.9069767441860465 0.5294117647058824 0.9361702127659575 0.5474004368473201 0.9159128536824515 0.021785726074865806 0.021473522878435014 1 GaussianNB RandomForestClassifier balanced sqrt
84 1.7255743980407714 0.0042136192321777345 0.5048302426773646 0.00013865276693192082 0.004402303695678711 0.005751371383666992 0.00029247624846939784 0.0007100369798845391 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {'gamma': 'scale', 'kernel': 'rbf'} 0.8541666666666666 0.7380952380952381 0.8478260869565217 0.7560975609756098 0.7413793103448276 0.8095238095238095 0.84 0.72 0.8076923076923077 0.7560975609756098 0.8182128743320647 0.7559628339140534 0.04161339992707591 0.029937905118780302 1 0.896551724137931 0.735632183908046 0.8735632183908046 0.735632183908046 0.8275862068965517 0.7931034482758621 0.896551724137931 0.7586206896551724 0.8620689655172413 0.735632183908046 0.871264367816092 0.7517241379310345 0.025598916610712757 0.02252404361179935 1 0.9534883720930233 0.7209302325581395 0.9069767441860465 0.7045454545454546 1.0 0.7727272727272727 0.9767441860465116 0.8372093023255814 0.9545454545454546 0.7045454545454546 0.9583509513742072 0.7479915433403805 0.03082333525345895 0.05114509679539022 1 0.9010989010989011 0.7294117647058824 0.8764044943820224 0.7294117647058823 0.8514851485148515 0.7906976744186046 0.9032258064516129 0.7741935483870969 0.875 0.7294117647058823 0.8814428700894776 0.7506253033846698 0.019106107705665402 0.026500187782749762 1 MLPClassifier SVC logistic (60, 80, 100) constant 500000 lbfgs scale rbf
85 0.19639902114868163 0.0001003265380859375 0.002088271265498995 1.7100047998968138e-05 0.021457910537719727 0.004994964599609375 0.005576984026873168 0.0005322873543987106 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {'to_return': 1} 0.8888888888888888 0.4942528735632184 0.8837209302325582 0.5057471264367817 0.82 0.5057471264367817 0.8571428571428571 0.4942528735632184 0.851063829787234 0.5057471264367817 0.8601633012103077 0.5011494252873563 0.024840030190334587 0.005631010902949855 1 0.9080459770114943 0.4942528735632184 0.8850574712643678 0.5057471264367817 0.8735632183908046 0.5057471264367817 0.9080459770114943 0.4942528735632184 0.8735632183908046 0.5057471264367817 0.8896551724137932 0.5011494252873563 0.015591563179598297 0.005631010902949855 1 0.9302325581395349 1.0 0.8837209302325582 1.0 0.9534883720930233 1.0 0.9767441860465116 1.0 0.9090909090909091 1.0 0.9306553911205073 1.0 0.03259929854950761 0.0 1 0.9090909090909092 0.6615384615384615 0.8837209302325582 0.6717557251908397 0.8817204301075269 0.6717557251908397 0.9130434782608695 0.6615384615384615 0.8791208791208791 0.6717557251908397 0.8933393253625486 0.6676688197298883 0.014601660842130238 0.00500541650316235 1 RandomForestClassifier BiasedClassifier balanced sqrt 1
86 0.0047051429748535155 0.0019986629486083984 0.00017161371311103895 0.0002167012159107283 0.006136894226074219 0.004934978485107422 0.0006322596042438573 0.0005398000378015275 gini best {'gamma': 'scale', 'kernel': 'rbf'} {'criterion': 'gini', 'splitter': 'best'} 0.7446808510638298 0.8269230769230769 0.7317073170731707 0.7719298245614035 0.6808510638297872 0.7962962962962963 0.7333333333333333 0.8888888888888888 0.7446808510638298 0.8301886792452831 0.7270506832727902 0.8228453531829898 0.023736918079198085 0.039318047646042784 1 0.7701149425287356 0.8850574712643678 0.7241379310344828 0.8505747126436781 0.7011494252873564 0.8735632183908046 0.7471264367816092 0.896551724137931 0.7586206896551724 0.896551724137931 0.7402298850574713 0.8804597701149426 0.024759378423606884 0.017203022467926186 1 0.813953488372093 0.9772727272727273 0.6976744186046512 1.0 0.7441860465116279 1.0 0.7674418604651163 0.9090909090909091 0.7954545454545454 1.0 0.7637420718816068 0.9772727272727273 0.040713458952669083 0.035208939510976534 1 0.7777777777777778 0.8958333333333334 0.7142857142857143 0.8712871287128713 0.711111111111111 0.8865979381443299 0.7499999999999999 0.8988764044943819 0.7692307692307692 0.9072164948453608 0.7444810744810745 0.8919622599060555 0.02748450695266498 0.012261478591669811 1 SVC DecisionTreeClassifier scale rbf
87 0.002054643630981445 0.0010799407958984376 5.7839659351053614e-05 9.17237641314175e-05 0.004293632507324219 0.004824399948120117 0.00013169879756414914 0.0006967275913509627 gini best {'criterion': 'gini', 'splitter': 'best'} {} 0.7659574468085106 0.875 0.8775510204081632 0.8260869565217391 0.851063829787234 0.8 0.875 0.8620689655172413 0.875 0.8260869565217391 0.8489144594007815 0.8378485757121439 0.04258508944297005 0.02711472538797047 1 0.7931034482758621 0.632183908045977 0.9195402298850575 0.6666666666666666 0.8850574712643678 0.6781609195402298 0.9080459770114943 0.735632183908046 0.9195402298850575 0.6666666666666666 0.885057471264368 0.6758620689655171 0.047669980122592444 0.033629284685811014 1 0.8372093023255814 0.3181818181818182 0.9772727272727273 0.4318181818181818 0.9302325581395349 0.46511627906976744 0.9545454545454546 0.5681818181818182 0.9767441860465116 0.4318181818181818 0.9352008456659618 0.44302325581395346 0.051956005796795726 0.07998657303214383 1 0.8 0.4666666666666667 0.9247311827956989 0.5671641791044776 0.888888888888889 0.5882352941176471 0.9130434782608695 0.6849315068493151 0.923076923076923 0.5671641791044776 0.8899480946044761 0.5748323651685168 0.04676015587235548 0.06945340883021155 1 DecisionTreeClassifier GaussianNB
88 0.0013537883758544921 2.259204959869385 0.00027163213604338267 0.46340751411518283 0.005893182754516601 0.004901695251464844 0.0004974941364007879 0.0013836243357564788 {} {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.7619047619047619 0.8148148148148148 0.8260869565217391 0.88 0.8181818181818182 0.8571428571428571 0.85 0.875 0.8888888888888888 0.9361702127659575 0.8290124850994417 0.872625576944726 0.04160521142398222 0.03919117138438418 1 0.632183908045977 0.8850574712643678 0.6666666666666666 0.9310344827586207 0.6666666666666666 0.9080459770114943 0.6551724137931034 0.9080459770114943 0.6666666666666666 0.9655172413793104 0.657471264367816 0.9195402298850575 0.013404487114586881 0.027200366818848812 1 0.37209302325581395 1.0 0.4318181818181818 1.0 0.4186046511627907 0.9767441860465116 0.38636363636363635 0.9545454545454546 0.37209302325581395 1.0 0.3961945031712474 0.9862579281183933 0.0246157259643505 0.01823582127090724 1 0.5 0.8979591836734693 0.5671641791044776 0.9361702127659575 0.5538461538461539 0.9130434782608695 0.53125 0.9130434782608695 0.5245901639344261 0.967032967032967 0.5353700993770115 0.9254498639988264 0.02339424823081782 0.02411495243431271 1 GaussianNB MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs
89 1.4838696479797364 0.19242162704467775 0.6199237407095957 0.0016003622769180863 0.0040858745574951175 0.012227916717529297 0.0006339836598317698 0.0003004062970458725 gini {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.8809523809523809 0.8461538461538461 0.7692307692307693 0.88 0.7924528301886793 0.8571428571428571 0.875 0.8775510204081632 0.8269230769230769 0.9166666666666666 0.8289118114589812 0.8755028780743066 0.04410755304470653 0.024155051344107174 1 0.8735632183908046 0.9080459770114943 0.8160919540229885 0.9310344827586207 0.8620689655172413 0.9080459770114943 0.9080459770114943 0.9195402298850575 0.896551724137931 0.9540229885057471 0.871264367816092 0.9241379310344827 0.03201928339582557 0.017203022467926148 1 0.8604651162790697 1.0 0.9090909090909091 1.0 0.9767441860465116 0.9545454545454546 0.9772727272727273 1.0 0.9401691331923889 0.9908033826638478 0.04988533262452812 0.011264749940598078 1 0.8705882352941177 0.9166666666666666 0.8333333333333333 0.9361702127659575 0.875 0.9130434782608695 0.9130434782608695 0.9247311827956989 0.9052631578947368 0.9565217391304348 0.8794456409566115 0.9294266559239255 0.028354615586541464 0.015702817562029407 1 MLPClassifier RandomForestClassifier logistic (60, 80, 100) constant 500000 lbfgs balanced sqrt
90 0.1956347942352295 0.004063701629638672 0.0014039843468034515 0.00014276759337124057 0.013931798934936523 0.005324411392211914 0.001354689586326171 0.00046126971092070505 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {'gamma': 'scale', 'kernel': 'rbf'} 0.8809523809523809 0.7446808510638298 0.8888888888888888 0.7954545454545454 0.8888888888888888 0.7727272727272727 0.9166666666666666 0.7959183673469388 0.8936170212765957 0.7222222222222222 0.8938027693346842 0.7662006517629619 0.012134391020530794 0.02890928495781439 1 0.8735632183908046 0.7586206896551724 0.896551724137931 0.7931034482758621 0.9080459770114943 0.7816091954022989 0.9540229885057471 0.8275862068965517 0.9310344827586207 0.7701149425287356 0.9126436781609195 0.7862068965517242 0.02777711718067714 0.023668115266636796 1 0.8604651162790697 0.7954545454545454 0.9090909090909091 0.7954545454545454 0.9302325581395349 0.7906976744186046 1.0 0.8863636363636364 0.9767441860465116 0.8863636363636364 0.935306553911205 0.8308668076109937 0.04942988079513129 0.04534624987074944 1 0.8705882352941177 0.7692307692307692 0.8988764044943819 0.7954545454545455 0.9090909090909092 0.7816091954022988 0.9565217391304348 0.8387096774193548 0.9333333333333332 0.7959183673469388 0.9136821242686354 0.7961845109707815 0.029389707317364476 0.023443282540081302 1 RandomForestClassifier SVC balanced sqrt scale rbf
91 0.005793619155883789 7.653236389160156e-05 0.0005572281654045837 3.520208134706831e-06 0.008275651931762695 0.004015016555786133 0.0013568136907738026 0.00011267535926929854 {'gamma': 'scale', 'kernel': 'rbf'} {'to_return': 1} 0.8205128205128205 0.5057471264367817 0.8205128205128205 0.5057471264367817 0.8048780487804879 0.4942528735632184 0.7948717948717948 0.5057471264367817 0.6888888888888889 0.5057471264367817 0.7859328747133626 0.5034482758620691 0.04949324075410711 0.004597701149425304 1 0.7931034482758621 0.5057471264367817 0.7816091954022989 0.5057471264367817 0.7931034482758621 0.4942528735632184 0.7586206896551724 0.5057471264367817 0.7011494252873564 0.5057471264367817 0.7655172413793103 0.5034482758620691 0.03455930201924807 0.004597701149425304 1 0.7441860465116279 1.0 0.7272727272727273 1.0 0.7674418604651163 1.0 0.7045454545454546 1.0 0.7209302325581395 1.0 0.7328752642706131 1.0 0.021444969992358884 0.0 1 0.7804878048780488 0.6717557251908397 0.7710843373493976 0.6717557251908397 0.7857142857142858 0.6615384615384615 0.746987951807229 0.6717557251908397 0.7045454545454545 0.6717557251908397 0.7577639668588831 0.6697122724603641 0.029743429397742827 0.004086905460951274 1 SVC BiasedClassifier scale rbf 1
92 0.005517721176147461 0.0019217967987060548 0.0014116957467791389 7.137690033364649e-05 0.008818578720092774 0.004196548461914062 0.0013795761354392928 7.035224470287863e-05 gini best {'criterion': 'gini', 'splitter': 'best'} 0.8478260869565217 0.8936170212765957 0.8 0.8076923076923077 0.8367346938775511 0.9090909090909091 0.8461538461538461 0.86 0.8464047911913644 0.8449218607479478 0.02765228701358383 0.039388995346916054 1 0.8735632183908046 0.9310344827586207 0.8505747126436781 0.8735632183908046 0.8735632183908046 0.9195402298850575 0.9080459770114943 0.9195402298850575 0.8919540229885058 0.8873563218390803 0.023668115266636754 0.027586206896551717 1 0.9069767441860465 0.9767441860465116 0.9302325581395349 0.9767441860465116 0.9318181818181818 0.9302325581395349 1.0 0.9584566596194503 0.9488372093023255 0.03392493645746217 0.034178926643486214 1 0.8764044943820224 0.9333333333333332 0.8602150537634408 0.8842105263157894 0.8817204301075268 0.9195402298850575 0.9166666666666666 0.924731182795699 0.8984670901610677 0.8930202974284018 0.02243808310022765 0.02505501170677674 1 DecisionTreeClassifier
93 0.0017252922058105468 0.0009679317474365235 0.000320580731560803 3.4980937724421564e-05 0.008783674240112305 0.003993892669677734 0.0013091521896116177 9.065972355155905e-05 {} 0.8275862068965517 0.8333333333333334 0.8333333333333334 0.8125 0.7058823529411765 0.6666666666666666 0.8636363636363636 0.8947368421052632 0.7727272727272727 0.8260869565217391 0.8006331059069396 0.8066647597254004 0.055716471037288065 0.07547005012658593 1 0.7241379310344828 0.6896551724137931 0.7816091954022989 0.6206896551724138 0.5862068965517241 0.6091954022988506 0.6781609195402298 0.632183908045977 0.6781609195402298 0.6804597701149425 0.6551724137931034 0.06834974136698166 0.03331350976135501 1 0.5581395348837209 0.46511627906976744 0.6976744186046512 0.3023255813953488 0.27906976744186046 0.4186046511627907 0.4318181818181818 0.3953488372093023 0.38636363636363635 0.4418604651162791 0.47061310782241017 0.4046511627906977 0.14457495305699658 0.05620021383067244 1 0.6666666666666666 0.5970149253731343 0.759493670886076 0.44067796610169485 0.4 0.5142857142857143 0.5757575757575758 0.5483870967741935 0.515151515151515 0.5757575757575758 0.5834138856923666 0.5352246556584626 0.12352662876664627 0.05479365049210219 1 GaussianNB
94 1.233776044845581 1.3330429077148438 0.23447687891633837 0.18693852518890453 0.004335212707519531 0.005749130249023437 0.0006214690301318999 0.001121520059448941 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.7222222222222222 0.8780487804878049 0.8125 0.8837209302325582 0.7547169811320755 0.7777777777777778 0.8269230769230769 0.8913043478260869 0.82 0.8269230769230769 0.7872724560554748 0.851554982649461 0.04140310304928609 0.04328137770023995 1 0.7816091954022989 0.8620689655172413 0.8505747126436781 0.8850574712643678 0.8160919540229885 0.8505747126436781 0.8850574712643678 0.9195402298850575 0.8620689655172413 0.896551724137931 0.8390804597701148 0.8827586206896552 0.03634801908239515 0.024545007475934067 1 0.9069767441860465 0.8372093023255814 0.9069767441860465 0.8837209302325582 0.9302325581395349 0.9767441860465116 0.9772727272727273 0.9534883720930233 0.9318181818181818 1.0 0.9306553911205073 0.9302325581395348 0.025675137939879418 0.060643743304210664 1 0.8041237113402061 0.8571428571428572 0.8571428571428572 0.8837209302325582 0.8333333333333334 0.8659793814432991 0.8958333333333334 0.9213483146067417 0.8723404255319149 0.9052631578947368 0.8525547321363292 0.8866909282640385 0.03162463540687007 0.02390372234008688 1 MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs
95 0.19530963897705078 0.20228543281555175 0.0027913324156435 0.0013756265053154787 0.014107561111450196 0.013142728805541992 0.0008964366429279065 0.0002900245586164067 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.8125 0.8260869565217391 0.8297872340425532 0.8478260869565217 0.84 0.8076923076923077 0.9565217391304348 0.9333333333333333 0.875 0.8431372549019608 0.8627617946345977 0.8516151878811724 0.05113192701931878 0.043231927854269554 1 0.8505747126436781 0.8620689655172413 0.8735632183908046 0.896551724137931 0.8735632183908046 0.9770114942528736 0.9540229885057471 0.9080459770114943 0.8988505747126437 0.8919540229885057 0.044457654266238454 0.0360560623939267 1 0.9069767441860465 0.8837209302325582 0.9069767441860465 0.9767441860465116 1.0 0.9767441860465116 0.9545454545454546 1.0 0.9490486257928119 0.9488372093023255 0.03723812068719494 0.04509469634805887 1 0.8571428571428572 0.853932584269663 0.8666666666666666 0.8764044943820224 0.9032258064516129 0.8842105263157894 0.9777777777777777 0.9545454545454545 0.9130434782608695 0.9148936170212766 0.9035713172599568 0.8967973353068412 0.04269425052296095 0.034853990562134375 1 RandomForestClassifier balanced sqrt
96 0.004642105102539063 0.004331207275390625 0.000382758187848364 0.0002960434040205934 0.006401586532592774 0.0056801319122314455 0.0011292886347330732 0.00035792606637237385 {'gamma': 'scale', 'kernel': 'rbf'} 0.72 0.8108108108108109 0.7441860465116279 0.6888888888888889 0.6666666666666666 0.7391304347826086 0.8222222222222222 0.8809523809523809 0.7391304347826086 0.75 0.7384410740366251 0.7739565030869378 0.05008872025357937 0.06607514803168148 1 0.7586206896551724 0.7701149425287356 0.7471264367816092 0.7011494252873564 0.6666666666666666 0.7586206896551724 0.8275862068965517 0.8735632183908046 0.7471264367816092 0.7586206896551724 0.7494252873563217 0.7724137931034484 0.05109450751929395 0.05602785106645491 1 0.8372093023255814 0.6976744186046512 0.7441860465116279 0.7209302325581395 0.6511627906976745 0.7906976744186046 0.8409090909090909 0.8604651162790697 0.7727272727272727 0.7674418604651163 0.7692389006342495 0.7674418604651163 0.06976872316076294 0.05696487773914367 1 0.7741935483870969 0.75 0.7441860465116278 0.7045454545454545 0.6588235294117646 0.7640449438202247 0.8314606741573033 0.8705882352941177 0.7555555555555555 0.7586206896551724 0.7528438708046696 0.769559864662994 0.05578269669633417 0.054710645038602346 1 SVC scale rbf
97 0.0024424076080322267 8.244514465332032e-05 0.00044691371294081517 6.836255206661167e-06 0.004960823059082031 0.0047031879425048825 0.00034843031152216207 0.0004015594204932739 gini best {'criterion': 'gini', 'splitter': 'best'} {'to_return': 1} 0.7962962962962963 0.4942528735632184 0.8 0.4942528735632184 0.8235294117647058 0.4942528735632184 0.8297872340425532 0.4942528735632184 0.84 0.4942528735632184 0.817922588420711 0.4942528735632184 0.017020775966639777 0.0 1 0.8620689655172413 0.4942528735632184 0.8505747126436781 0.4942528735632184 0.8735632183908046 0.4942528735632184 0.8620689655172413 0.4942528735632184 0.8850574712643678 0.4942528735632184 0.8666666666666666 0.4942528735632184 0.011721883939293793 0.0 1 0.9772727272727273 1.0 0.9302325581395349 1.0 0.9545454545454546 1.0 0.9069767441860465 1.0 0.9545454545454546 1.0 0.9447145877378436 1.0 0.02402997441354085 0.0 1 0.8775510204081632 0.6615384615384615 0.8602150537634408 0.6615384615384615 0.8842105263157896 0.6615384615384615 0.8666666666666666 0.6615384615384615 0.8936170212765958 0.6615384615384615 0.8764520576861312 0.6615384615384615 0.011961870283472129 0.0 1 DecisionTreeClassifier BiasedClassifier 1
98 0.001541900634765625 0.0020009517669677735 0.00020927183956067987 0.00011523040014140854 0.006117963790893554 0.0043304443359375 0.0011798443445466258 0.00032293260643118544 gini best {} {'criterion': 'gini', 'splitter': 'best'} 0.8695652173913043 0.8636363636363636 0.8333333333333334 0.851063829787234 0.8636363636363636 0.7884615384615384 0.76 0.84 0.8571428571428571 0.88 0.8367355543007717 0.8446323463770271 0.04029347027048997 0.031080559417356046 1 0.6896551724137931 0.8735632183908046 0.6896551724137931 0.8850574712643678 0.6781609195402298 0.8505747126436781 0.6551724137931034 0.896551724137931 0.6091954022988506 0.9310344827586207 0.664367816091954 0.8873563218390805 0.030323921743156134 0.026611119316759135 1 0.45454545454545453 0.8837209302325582 0.46511627906976744 0.9302325581395349 0.4318181818181818 0.9534883720930233 0.4418604651162791 0.9767441860465116 0.2727272727272727 1.0 0.4132135306553911 0.9488372093023255 0.07114125637203969 0.04001081519554709 1 0.5970149253731344 0.8735632183908046 0.5970149253731343 0.888888888888889 0.5757575757575758 0.8631578947368421 0.5588235294117647 0.9032258064516129 0.41379310344827586 0.9361702127659575 0.548480811872777 0.8930012042468214 0.06885185952651231 0.025508725334762155 1 GaussianNB DecisionTreeClassifier
99 1.1970837593078614 0.0011005878448486328 0.19940989694591937 0.00016774134961461894 0.004441261291503906 0.004408931732177735 0.0006258874336289021 0.0003319931791854012 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} {} 0.7457627118644068 0.8181818181818182 0.8125 0.7391304347826086 0.9148936170212766 0.7916666666666666 0.8 0.9 0.8695652173913043 0.75 0.8285443092553976 0.7997957839262186 0.05841901774746935 0.05762797654884553 1 0.8275862068965517 0.6666666666666666 0.8505747126436781 0.632183908045977 0.9425287356321839 0.6666666666666666 0.8505747126436781 0.6896551724137931 0.8850574712643678 0.632183908045977 0.871264367816092 0.657471264367816 0.04008182936589125 0.022288183252488873 1 1.0 0.4186046511627907 0.9069767441860465 0.3953488372093023 0.9772727272727273 0.4418604651162791 0.9302325581395349 0.4186046511627907 0.9090909090909091 0.4090909090909091 0.9447145877378436 0.41670190274841434 0.03746846609226435 0.015192595537608194 1 0.8543689320388349 0.5538461538461539 0.8571428571428572 0.5151515151515151 0.945054945054945 0.5671641791044777 0.8602150537634408 0.5714285714285715 0.888888888888889 0.5294117647058824 0.8811341353777935 0.5474004368473201 0.03427994057319923 0.021785726074865806 1 MLPClassifier GaussianNB logistic (60, 80, 100) constant 500000 lbfgs
100 0.19360728263854982 2.010102367401123 0.0027234169199152124 0.718723534169696 0.014816474914550782 0.005715608596801758 0.0014398728068045806 0.001989253789442101 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.7719298245614035 0.8571428571428571 0.8333333333333334 0.8936170212765957 0.7777777777777778 0.8478260869565217 0.7777777777777778 0.8695652173913043 0.8723404255319149 0.8432542967038318 0.8236744343127322 0.04107353328001852 0.03948370428555789 1 0.8505747126436781 0.9080459770114943 0.8735632183908046 0.9195402298850575 0.8505747126436781 0.8735632183908046 0.8505747126436781 0.8850574712643678 0.896551724137931 0.8804597701149426 0.8758620689655172 0.02252404361179934 0.023443767878587537 1 1.0 0.9767441860465116 0.9302325581395349 0.9545454545454546 0.9767441860465116 0.9069767441860465 0.9767441860465116 0.9090909090909091 0.9318181818181818 0.9401691331923889 0.9584566596194503 0.03450431121940526 0.022403166170783254 1 0.8712871287128713 0.9130434782608695 0.8791208791208791 0.9230769230769231 0.8659793814432991 0.8764044943820224 0.8659793814432991 0.888888888888889 0.9010989010989012 0.887755662836317 0.8850444042734497 0.01856608067167711 0.018993332270735984 1 RandomForestClassifier MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs balanced sqrt
101 0.0045832633972167965 0.2506169319152832 0.00037759465520098416 0.0041195909902483575 0.006492757797241211 0.025205612182617188 0.0010056513369830899 0.0014503115712025032 gini {'gamma': 'scale', 'kernel': 'rbf'} {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.75 0.9090909090909091 0.7435897435897436 0.8888888888888888 0.8222222222222222 0.8367346938775511 0.6739130434782609 0.8571428571428571 0.8055555555555556 0.86 0.7590561129691563 0.8703714698000413 0.05238839483175277 0.02551895790120753 1 0.7701149425287356 0.9195402298850575 0.7241379310344828 0.9080459770114943 0.8275862068965517 0.8850574712643678 0.6896551724137931 0.9080459770114943 0.7471264367816092 0.9080459770114943 0.7517241379310345 0.9057471264367816 0.046320555585310064 0.011262021805899657 1 0.8181818181818182 0.9302325581395349 0.6744186046511628 0.9302325581395349 0.8409090909090909 0.9534883720930233 0.7209302325581395 0.9767441860465116 0.6590909090909091 0.9772727272727273 0.7427061310782241 0.9535940803382663 0.07412055319973548 0.020919552232619824 1 0.7826086956521738 0.9195402298850575 0.7073170731707318 0.9090909090909092 0.8314606741573033 0.8913043478260869 0.6966292134831461 0.9130434782608695 0.7250000000000001 0.9148936170212766 0.748603131292671 0.9095745164168398 0.050960151788453534 0.009733189701493498 1 SVC RandomForestClassifier balanced sqrt scale rbf
102 0.0062087059020996095 0.00026685007959969035 0.007111692428588867 0.00014544390043446138 {'gamma': 'scale', 'kernel': 'rbf'} 0.7446808510638298 0.7317073170731707 0.6808510638297872 0.7333333333333333 0.7446808510638298 0.7270506832727902 0.023736918079198085 1 0.7701149425287356 0.7241379310344828 0.7011494252873564 0.7471264367816092 0.7586206896551724 0.7402298850574713 0.024759378423606884 1 0.813953488372093 0.6976744186046512 0.7441860465116279 0.7674418604651163 0.7954545454545454 0.7637420718816068 0.040713458952669083 1 0.7777777777777778 0.7142857142857143 0.711111111111111 0.7499999999999999 0.7692307692307692 0.7444810744810745 0.02748450695266498 1 SVC scale rbf
103 0.000115203857421875 3.0487537499630993e-05 0.005177640914916992 0.00044141144631256536 {'to_return': 1} 0.4942528735632184 0.4942528735632184 0.4942528735632184 0.4942528735632184 0.5057471264367817 0.496551724137931 0.004597701149425304 1 0.4942528735632184 0.4942528735632184 0.4942528735632184 0.4942528735632184 0.5057471264367817 0.496551724137931 0.004597701149425304 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 0.6615384615384615 0.6615384615384615 0.6615384615384615 0.6615384615384615 0.6717557251908397 0.6635819142689371 0.004086905460951274 1 BiasedClassifier 1
104 0.0022040843963623048 0.00015991703635098497 0.0045887470245361325 0.0004738532785959043 gini best {'criterion': 'gini', 'splitter': 'best'} 0.7346938775510204 0.8958333333333334 0.851063829787234 0.8571428571428571 0.8541666666666666 0.8385801128962223 0.05443094793302604 1 0.7701149425287356 0.9310344827586207 0.8850574712643678 0.896551724137931 0.896551724137931 0.8758620689655172 0.05507654506073997 1 0.8372093023255814 0.9772727272727273 0.9302325581395349 0.9545454545454546 0.9534883720930233 0.9305496828752643 0.04898479480022706 1 0.782608695652174 0.9347826086956522 0.888888888888889 0.9032258064516128 0.9010989010989011 0.8821209801574458 0.05201407819527025 1 DecisionTreeClassifier
105 0.0011530399322509765 0.00015324113015629455 0.004853343963623047 0.0003699877070622847 {} 0.7619047619047619 0.8260869565217391 0.8181818181818182 0.85 0.8888888888888888 0.8290124850994417 0.04160521142398222 1 0.632183908045977 0.6666666666666666 0.6666666666666666 0.6551724137931034 0.6666666666666666 0.657471264367816 0.013404487114586881 1 0.37209302325581395 0.4318181818181818 0.4186046511627907 0.38636363636363635 0.37209302325581395 0.3961945031712474 0.0246157259643505 1 0.5 0.5671641791044776 0.5538461538461539 0.53125 0.5245901639344261 0.5353700993770115 0.02339424823081782 1 GaussianNB
106 1.4172007083892821 0.2765746568926641 0.0058556079864501955 0.0012508237731777398 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.8604651162790697 0.8085106382978723 0.8571428571428571 0.875 0.8235294117647058 0.844929604696901 0.024815534248618338 1 0.8620689655172413 0.8275862068965517 0.9080459770114943 0.9080459770114943 0.8850574712643678 0.87816091954023 0.030497699221658858 1 0.8604651162790697 0.8636363636363636 0.9767441860465116 0.9545454545454546 0.9767441860465116 0.9264270613107822 0.05319383428227083 1 0.8604651162790697 0.8351648351648351 0.9130434782608695 0.9130434782608695 0.8936170212765957 0.883066785848448 0.03070486603190395 1 MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs
107 0.20352258682250976 0.0019300123353234574 0.014762353897094727 0.0016365459841071802 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.925 0.8888888888888888 0.9130434782608695 0.9166666666666666 0.8936170212765957 0.9074432110186041 0.013857145153956448 1 0.896551724137931 0.896551724137931 0.9425287356321839 0.9540229885057471 0.9310344827586207 0.9241379310344827 0.023668115266636754 1 0.8604651162790697 0.9090909090909091 0.9767441860465116 1.0 0.9767441860465116 0.9446088794926004 0.05191383475506909 1 0.891566265060241 0.8988764044943819 0.9438202247191011 0.9565217391304348 0.9333333333333332 0.9248235933474985 0.025366775981023187 1 RandomForestClassifier balanced sqrt
108 0.004777431488037109 0.0002970876887188734 0.006045913696289063 0.0005675497983209845 {'gamma': 'scale', 'kernel': 'rbf'} 0.8205128205128205 0.8205128205128205 0.8048780487804879 0.7948717948717948 0.6888888888888889 0.7859328747133626 0.04949324075410711 1 0.7931034482758621 0.7816091954022989 0.7931034482758621 0.7586206896551724 0.7011494252873564 0.7655172413793103 0.03455930201924807 1 0.7441860465116279 0.7272727272727273 0.7674418604651163 0.7045454545454546 0.7209302325581395 0.7328752642706131 0.021444969992358884 1 0.7804878048780488 0.7710843373493976 0.7857142857142858 0.746987951807229 0.7045454545454545 0.7577639668588831 0.029743429397742827 1 SVC scale rbf
109 7.796287536621094e-05 4.08802704798752e-06 0.003885698318481445 0.00011026155861765243 {'to_return': 1} 0.4942528735632184 0.5057471264367817 0.4942528735632184 0.5057471264367817 0.4942528735632184 0.4988505747126437 0.005631010902949855 1 0.4942528735632184 0.5057471264367817 0.4942528735632184 0.5057471264367817 0.4942528735632184 0.4988505747126437 0.005631010902949855 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 0.6615384615384615 0.6717557251908397 0.6615384615384615 0.6717557251908397 0.6615384615384615 0.6656253669994128 0.005005416503162351 1 BiasedClassifier 1
110 0.00205535888671875 0.00015819509488697322 0.0038710117340087892 5.018162300930847e-05 gini best {'criterion': 'gini', 'splitter': 'best'} 0.8478260869565217 0.9130434782608695 0.7884615384615384 0.8913043478260869 0.8301886792452831 0.85416482615006 0.04422215958714269 1 0.8735632183908046 0.9425287356321839 0.8505747126436781 0.9080459770114943 0.896551724137931 0.8942528735632184 0.03118312635919663 1 0.9069767441860465 0.9767441860465116 0.9534883720930233 0.9318181818181818 1.0 0.9538054968287526 0.032669833944515725 1 0.8764044943820224 0.9438202247191011 0.8631578947368421 0.9111111111111111 0.9072164948453608 0.9003420439588876 0.02831695717286607 1 DecisionTreeClassifier
111 0.0009009838104248047 3.2133305695536605e-05 0.0037467479705810547 0.00011888928377511985 {} 0.8275862068965517 0.8333333333333334 0.7058823529411765 0.8636363636363636 0.7727272727272727 0.8006331059069396 0.055716471037288065 1 0.7241379310344828 0.7816091954022989 0.5862068965517241 0.6781609195402298 0.632183908045977 0.6804597701149425 0.06834974136698166 1 0.5581395348837209 0.6976744186046512 0.27906976744186046 0.4318181818181818 0.38636363636363635 0.47061310782241017 0.14457495305699658 1 0.6666666666666666 0.759493670886076 0.4 0.5757575757575758 0.515151515151515 0.5834138856923666 0.12352662876664627 1 GaussianNB
112 2.279987907409668 0.40810481956110456 0.0045074462890625 0.000777673991761876 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.7692307692307693 0.8809523809523809 0.8541666666666666 0.8333333333333334 0.9069767441860465 0.8489319788738394 0.04694146023927249 1 0.8275862068965517 0.8735632183908046 0.896551724137931 0.8620689655172413 0.896551724137931 0.871264367816092 0.025598916610712757 1 0.9302325581395349 0.8604651162790697 0.9534883720930233 0.9090909090909091 0.8863636363636364 0.9079281183932346 0.03253410606328727 1 0.8421052631578948 0.8705882352941177 0.9010989010989011 0.8695652173913043 0.896551724137931 0.8759818682160297 0.021316066089476535 1 MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs
113 0.19093751907348633 0.002536299273939237 0.012502145767211915 0.0001547722187985144 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.8163265306122449 0.8666666666666667 0.851063829787234 0.9565217391304348 0.8936170212765957 0.8768391574946351 0.04703283029865054 1 0.8620689655172413 0.8850574712643678 0.8850574712643678 0.9770114942528736 0.9195402298850575 0.9057471264367816 0.04008182936589127 1 0.9302325581395349 0.9069767441860465 0.9302325581395349 1.0 0.9545454545454546 0.9443974630021141 0.03161083076797578 1 0.8695652173913043 0.8863636363636364 0.888888888888889 0.9777777777777777 0.9230769230769231 0.9091344886997061 0.03847184911466428 1 RandomForestClassifier balanced sqrt
114 0.00411839485168457 0.00013571286477059825 0.00532684326171875 0.00040210005787527365 {'gamma': 'scale', 'kernel': 'rbf'} 0.72 0.7441860465116279 0.6666666666666666 0.8222222222222222 0.7391304347826086 0.7384410740366251 0.05008872025357937 1 0.7586206896551724 0.7471264367816092 0.6666666666666666 0.8275862068965517 0.7471264367816092 0.7494252873563217 0.05109450751929395 1 0.8372093023255814 0.7441860465116279 0.6511627906976745 0.8409090909090909 0.7727272727272727 0.7692389006342495 0.06976872316076294 1 0.7741935483870969 0.7441860465116278 0.6588235294117646 0.8314606741573033 0.7555555555555555 0.7528438708046696 0.05578269669633417 1 SVC scale rbf
115 7.4005126953125e-05 2.7828667567090748e-06 0.004036712646484375 0.00016477490067278447 {'to_return': 1} 0.4942528735632184 0.4942528735632184 0.4942528735632184 0.5057471264367817 0.5057471264367817 0.4988505747126437 0.005631010902949855 1 0.4942528735632184 0.4942528735632184 0.4942528735632184 0.5057471264367817 0.5057471264367817 0.4988505747126437 0.005631010902949855 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 0.6615384615384615 0.6615384615384615 0.6615384615384615 0.6717557251908397 0.6717557251908397 0.6656253669994129 0.005005416503162351 1 BiasedClassifier 1
116 0.0018951892852783203 8.00446129539477e-05 0.004139852523803711 0.00016271933705261097 gini best {'criterion': 'gini', 'splitter': 'best'} 0.8 0.8 0.7636363636363637 0.8297872340425532 0.8571428571428571 0.8101132909643548 0.031507161767741265 1 0.8735632183908046 0.8505747126436781 0.8275862068965517 0.8620689655172413 0.896551724137931 0.8620689655172413 0.022988505747126454 1 1.0 0.9302325581395349 0.9545454545454546 0.9069767441860465 0.9545454545454546 0.9492600422832981 0.030920339343146964 1 0.888888888888889 0.8602150537634408 0.8484848484848485 0.8666666666666666 0.9032258064516128 0.8734962528510917 0.019846326846579894 1 DecisionTreeClassifier
117 0.0011829853057861329 0.00017642217052784282 0.004505681991577149 0.00041280835182465797 {} 0.8695652173913043 0.8333333333333334 0.8636363636363636 0.76 0.8571428571428571 0.8367355543007717 0.04029347027048997 1 0.6896551724137931 0.6896551724137931 0.6781609195402298 0.6551724137931034 0.6091954022988506 0.664367816091954 0.030323921743156134 1 0.45454545454545453 0.46511627906976744 0.4318181818181818 0.4418604651162791 0.2727272727272727 0.4132135306553911 0.07114125637203969 1 0.5970149253731344 0.5970149253731343 0.5757575757575758 0.5588235294117647 0.41379310344827586 0.548480811872777 0.06885185952651231 1 GaussianNB
118 1.1361024379730225 0.159419282040439 0.00465998649597168 0.00041844547523993013 {'activation': 'logistic', 'hidden_layer_sizes': (60, 80, 100), 'learning_rate': 'constant', 'max_iter': 500000, 'solver': 'lbfgs'} 0.7857142857142857 0.8297872340425532 0.7884615384615384 0.75 0.8888888888888888 0.8085703894214532 0.04745202573749175 1 0.8620689655172413 0.8620689655172413 0.8390804597701149 0.8045977011494253 0.896551724137931 0.8528735632183908 0.03032392174315613 1 1.0 0.9069767441860465 0.9318181818181818 0.9069767441860465 0.9090909090909091 0.9309725158562367 0.035765647062131915 1 0.88 0.8666666666666666 0.8541666666666667 0.8210526315789475 0.8988764044943819 0.8641524738813324 0.026155417637202708 1 MLPClassifier logistic (60, 80, 100) constant 500000 lbfgs
119 0.2012843132019043 0.003481437204419735 0.012103986740112305 0.0006385231718857603 gini {'class_weight': 'balanced', 'criterion': 'gini', 'max_features': 'sqrt'} 0.8 0.8297872340425532 0.8775510204081632 0.851063829787234 0.851063829787234 0.8418931828050369 0.025850631232723163 1 0.8735632183908046 0.8620689655172413 0.9195402298850575 0.8850574712643678 0.8735632183908046 0.8827586206896552 0.019775460384006037 1 1.0 0.9069767441860465 0.9772727272727273 0.9302325581395349 0.9090909090909091 0.9447145877378436 0.03746846609226435 1 0.888888888888889 0.8666666666666666 0.9247311827956989 0.888888888888889 0.8791208791208791 0.8896593012722045 0.019343957876412386 1 RandomForestClassifier balanced sqrt
120 0.004258394241333008 0.0002193918903849466 0.005930662155151367 0.0003742918078827082 {'gamma': 'scale', 'kernel': 'rbf'} 0.75 0.7435897435897436 0.8222222222222222 0.6739130434782609 0.8055555555555556 0.7590561129691563 0.05238839483175277 1 0.7701149425287356 0.7241379310344828 0.8275862068965517 0.6896551724137931 0.7471264367816092 0.7517241379310345 0.046320555585310064 1 0.8181818181818182 0.6744186046511628 0.8409090909090909 0.7209302325581395 0.6590909090909091 0.7427061310782241 0.07412055319973548 1 0.7826086956521738 0.7073170731707318 0.8314606741573033 0.6966292134831461 0.7250000000000001 0.748603131292671 0.050960151788453534 1 SVC scale rbf
121 7.4005126953125e-05 2.5793320343586964e-06 0.004357624053955078 0.0004015861681529256 {'to_return': 1} 0.5057471264367817 0.4942528735632184 0.5057471264367817 0.4942528735632184 0.5057471264367817 0.5011494252873563 0.005631010902949855 1 0.5057471264367817 0.4942528735632184 0.5057471264367817 0.4942528735632184 0.5057471264367817 0.5011494252873563 0.005631010902949855 1 1.0 1.0 1.0 1.0 1.0 1.0 0.0 1 0.6717557251908397 0.6615384615384615 0.6717557251908397 0.6615384615384615 0.6717557251908397 0.6676688197298883 0.00500541650316235 1 BiasedClassifier 1

46
models/model_stats.csv Normal file
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@ -0,0 +1,46 @@
,classifier_a,classifier_b,metric,pvalue
1,DecisionTreeClassifier,GaussianNB,precision,0.08929133280531223
2,DecisionTreeClassifier,GaussianNB,recall,3.8656827355135645e-18
3,DecisionTreeClassifier,GaussianNB,f1,3.896340037647931e-18
4,DecisionTreeClassifier,MLPClassifier,precision,0.4012348497407896
5,DecisionTreeClassifier,MLPClassifier,recall,0.010673345794344981
6,DecisionTreeClassifier,MLPClassifier,f1,0.4710651684151138
7,DecisionTreeClassifier,RandomForestClassifier,precision,8.283133239663301e-12
8,DecisionTreeClassifier,RandomForestClassifier,recall,0.3324828913770316
9,DecisionTreeClassifier,RandomForestClassifier,f1,1.4515097813437996e-10
10,DecisionTreeClassifier,SVC,precision,6.472995016722292e-16
11,DecisionTreeClassifier,SVC,recall,3.849136100548656e-18
12,DecisionTreeClassifier,SVC,f1,3.896559845095909e-18
13,GaussianNB,MLPClassifier,precision,0.03476088049603166
14,GaussianNB,MLPClassifier,recall,3.848918829852649e-18
15,GaussianNB,MLPClassifier,f1,3.896120241954008e-18
16,GaussianNB,RandomForestClassifier,precision,5.027978595522601e-10
17,GaussianNB,RandomForestClassifier,recall,3.8398039515630974e-18
18,GaussianNB,RandomForestClassifier,f1,3.896120241954008e-18
19,GaussianNB,SVC,precision,7.361006463422299e-13
20,GaussianNB,SVC,recall,3.878355771123559e-18
21,GaussianNB,SVC,f1,4.265842540306607e-18
22,MLPClassifier,RandomForestClassifier,precision,2.9302015489842885e-09
23,MLPClassifier,RandomForestClassifier,recall,9.555788374830177e-05
24,MLPClassifier,RandomForestClassifier,f1,1.1542838431590428e-11
25,MLPClassifier,SVC,precision,3.6744416439536415e-16
26,MLPClassifier,SVC,recall,5.611915312842127e-18
27,MLPClassifier,SVC,f1,5.112831740936498e-18
28,RandomForestClassifier,SVC,precision,4.0161556854627e-18
29,RandomForestClassifier,SVC,recall,3.849570676820676e-18
30,RandomForestClassifier,SVC,f1,3.896340037647931e-18
31,BiasedClassifier,DecisionTreeClassifier,precision,3.881858705649312e-18
32,BiasedClassifier,DecisionTreeClassifier,recall,1.0267247842714985e-14
33,BiasedClassifier,DecisionTreeClassifier,f1,3.881858705649312e-18
34,BiasedClassifier,GaussianNB,precision,3.876167958900271e-18
35,BiasedClassifier,GaussianNB,recall,3.7861845925093915e-18
36,BiasedClassifier,GaussianNB,f1,4.22499456189738e-16
37,BiasedClassifier,MLPClassifier,precision,3.887338045617697e-18
38,BiasedClassifier,MLPClassifier,recall,2.2417567344517687e-15
39,BiasedClassifier,MLPClassifier,f1,3.886680137925553e-18
40,BiasedClassifier,RandomForestClassifier,precision,3.8798879361158955e-18
41,BiasedClassifier,RandomForestClassifier,recall,4.647240654275836e-14
42,BiasedClassifier,RandomForestClassifier,f1,3.8798879361158955e-18
43,BiasedClassifier,SVC,precision,3.890848669938197e-18
44,BiasedClassifier,SVC,recall,3.803119001919453e-18
45,BiasedClassifier,SVC,f1,4.337936940303975e-17
1 classifier_a classifier_b metric pvalue
2 1 DecisionTreeClassifier GaussianNB precision 0.08929133280531223
3 2 DecisionTreeClassifier GaussianNB recall 3.8656827355135645e-18
4 3 DecisionTreeClassifier GaussianNB f1 3.896340037647931e-18
5 4 DecisionTreeClassifier MLPClassifier precision 0.4012348497407896
6 5 DecisionTreeClassifier MLPClassifier recall 0.010673345794344981
7 6 DecisionTreeClassifier MLPClassifier f1 0.4710651684151138
8 7 DecisionTreeClassifier RandomForestClassifier precision 8.283133239663301e-12
9 8 DecisionTreeClassifier RandomForestClassifier recall 0.3324828913770316
10 9 DecisionTreeClassifier RandomForestClassifier f1 1.4515097813437996e-10
11 10 DecisionTreeClassifier SVC precision 6.472995016722292e-16
12 11 DecisionTreeClassifier SVC recall 3.849136100548656e-18
13 12 DecisionTreeClassifier SVC f1 3.896559845095909e-18
14 13 GaussianNB MLPClassifier precision 0.03476088049603166
15 14 GaussianNB MLPClassifier recall 3.848918829852649e-18
16 15 GaussianNB MLPClassifier f1 3.896120241954008e-18
17 16 GaussianNB RandomForestClassifier precision 5.027978595522601e-10
18 17 GaussianNB RandomForestClassifier recall 3.8398039515630974e-18
19 18 GaussianNB RandomForestClassifier f1 3.896120241954008e-18
20 19 GaussianNB SVC precision 7.361006463422299e-13
21 20 GaussianNB SVC recall 3.878355771123559e-18
22 21 GaussianNB SVC f1 4.265842540306607e-18
23 22 MLPClassifier RandomForestClassifier precision 2.9302015489842885e-09
24 23 MLPClassifier RandomForestClassifier recall 9.555788374830177e-05
25 24 MLPClassifier RandomForestClassifier f1 1.1542838431590428e-11
26 25 MLPClassifier SVC precision 3.6744416439536415e-16
27 26 MLPClassifier SVC recall 5.611915312842127e-18
28 27 MLPClassifier SVC f1 5.112831740936498e-18
29 28 RandomForestClassifier SVC precision 4.0161556854627e-18
30 29 RandomForestClassifier SVC recall 3.849570676820676e-18
31 30 RandomForestClassifier SVC f1 3.896340037647931e-18
32 31 BiasedClassifier DecisionTreeClassifier precision 3.881858705649312e-18
33 32 BiasedClassifier DecisionTreeClassifier recall 1.0267247842714985e-14
34 33 BiasedClassifier DecisionTreeClassifier f1 3.881858705649312e-18
35 34 BiasedClassifier GaussianNB precision 3.876167958900271e-18
36 35 BiasedClassifier GaussianNB recall 3.7861845925093915e-18
37 36 BiasedClassifier GaussianNB f1 4.22499456189738e-16
38 37 BiasedClassifier MLPClassifier precision 3.887338045617697e-18
39 38 BiasedClassifier MLPClassifier recall 2.2417567344517687e-15
40 39 BiasedClassifier MLPClassifier f1 3.886680137925553e-18
41 40 BiasedClassifier RandomForestClassifier precision 3.8798879361158955e-18
42 41 BiasedClassifier RandomForestClassifier recall 4.647240654275836e-14
43 42 BiasedClassifier RandomForestClassifier f1 3.8798879361158955e-18
44 43 BiasedClassifier SVC precision 3.890848669938197e-18
45 44 BiasedClassifier SVC recall 3.803119001919453e-18
46 45 BiasedClassifier SVC f1 4.337936940303975e-17

3
requirements.txt
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@ -1,4 +1,5 @@
javalang==0.13.0 javalang==0.13.0
pandas==1.5.2 pandas==1.5.2
scikit_learn==1.2.1 scikit_learn==1.2.1
tabulate==0.9.0 tabulate==0.9.0
scipy==1.24.2