6008895 1 Jan van Rijn 14967 Supervised Classification 6970 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1) 4043596 class_weight null 6941 criterion "gini" 6941 max_depth 1 6941 max_features null 6941 max_leaf_nodes null 6941 min_impurity_split 1e-07 6941 min_samples_leaf 1 6941 min_samples_split 2 6941 min_weight_fraction_leaf 0.0 6941 presort false 6941 random_state 44366 6941 splitter "best" 6941 axis 0 6947 categorical_features [0, 1] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "median" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [0, 1] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse false 6948 threshold 0.0 6949 algorithm "SAMME" 6971 learning_rate 0.7188797348242159 6971 n_estimators 80 6971 random_state 11538 6971 openml-pimp openml-python Sklearn_0.18.1. study_71 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 12940925 description https://api.openml.org/data/download/12940925/description.xml -1 12940926 predictions https://api.openml.org/data/download/12940926/predictions.arff area_under_roc_curve 0.9193532107771143 [0.943116,0.913629,0.888797,0.881141,0.971967,0.944124] average_cost 0 f_measure 0.731298971651415 [0.843836,0.801406,0.695203,0.647225,0.71575,0.677346] kappa 0.6674956176112801 kb_relative_information_score 116.83997747107043 mean_absolute_error 0.2775035546535997 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.7641994150483186 [0.890173,1,0.697778,0.623188,0.582701,0.907975] predictive_accuracy 0.7285407725321889 prior_entropy 2.5206634795042744 recall 0.7285407725321889 [0.802083,0.668622,0.692647,0.67319,0.927536,0.540146] relative_absolute_error 1.0169436510861902 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.37231035875332646 root_relative_squared_error 1.0079584566359219 total_cost 0 area_under_roc_curve 0.9169412371924257 [0.939733,0.900825,0.918459,0.848831,0.956067,0.952381] area_under_roc_curve 0.9207980451040765 [0.909677,0.957556,0.874931,0.904829,0.981529,0.950751] area_under_roc_curve 0.9305834657570595 [0.975614,0.890304,0.884261,0.927134,0.970099,0.947137] area_under_roc_curve 0.9303868165288797 [0.962139,0.874641,0.917175,0.901447,0.967037,0.963435] area_under_roc_curve 0.9219784604837804 [0.951926,0.945361,0.885093,0.881621,0.962802,0.936832] area_under_roc_curve 0.9087471885033416 [0.914414,0.921983,0.878017,0.865143,0.986988,0.920363] area_under_roc_curve 0.9391714884318365 [0.92939,0.960804,0.932151,0.908454,0.983424,0.939447] area_under_roc_curve 0.9408771881024436 [0.978149,0.97587,0.906712,0.861713,0.991511,0.974941] area_under_roc_curve 0.9301259747403487 [0.971867,0.911405,0.90943,0.887943,0.968505,0.937684] area_under_roc_curve 0.9112585622473091 [0.947487,0.866687,0.884095,0.86339,0.962929,0.969356] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.7274288126125885 [0.851485,0.785714,0.764331,0.631579,0.648649,0.6] f_measure 0.7568529617827198 [0.84,0.866667,0.734694,0.761905,0.619048,0.697674] f_measure 0.7750805009399802 [0.93578,0.64,0.741176,0.8,0.737864,0.697674] f_measure 0.763137467391922 [0.873786,0.807018,0.76129,0.692308,0.727273,0.666667] f_measure 0.7329025779617628 [0.862745,0.807018,0.705882,0.683544,0.672566,0.615385] f_measure 0.6244067173193296 [0.622754,0.90625,0.4,0.625,0.740741,0.65] f_measure 0.6928852510296166 [0.871287,0.827586,0.521739,0.552147,0.796117,0.682927] f_measure 0.8148109204813653 [0.903846,0.885246,0.77551,0.673913,0.896552,0.776119] f_measure 0.7911085710842254 [0.944444,0.716981,0.824324,0.747475,0.722222,0.666667] f_measure 0.6108095736563478 [0.86,0.716981,0.380952,0.506024,0.66087,0.65] kappa 0.6613045117506597 kappa 0.6855895196506551 kappa 0.7211772516043372 kappa 0.7051195397601345 kappa 0.6646178092986602 kappa 0.5703258207520848 kappa 0.6221101303068517 kappa 0.7726410806914169 kappa 0.744048842984357 kappa 0.5319228259856464 kb_relative_information_score 11.777447671961522 kb_relative_information_score 11.84280593655438 kb_relative_information_score 11.813028556824019 kb_relative_information_score 11.840907333425255 kb_relative_information_score 11.47946138595717 kb_relative_information_score 11.679813258936262 kb_relative_information_score 11.568825110863576 kb_relative_information_score 11.645713967787149 kb_relative_information_score 11.586380984227226 kb_relative_information_score 11.605593264534132 mean_absolute_error 0.2775122974053236 mean_absolute_error 0.2775047178377035 mean_absolute_error 0.2774642620214073 mean_absolute_error 0.27749401592497003 mean_absolute_error 0.27751169620959065 mean_absolute_error 0.27752183873089314 mean_absolute_error 0.2775058877632391 mean_absolute_error 0.2774976031411719 mean_absolute_error 0.2775039053167221 mean_absolute_error 0.2775193669870916 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272804289453111 mean_prior_absolute_error 0.27287651677373237 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,52,41,27] number_of_instances 280 [58,35,68,51,41,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] precision 0.7917897792416252 [1,1,0.674157,0.681818,0.514286,1] precision 0.8383832957809131 [1,1,0.683544,0.969697,0.458824,1] precision 0.8504608294930875 [1,1,0.617647,1,0.612903,1] precision 0.8078740279455959 [1,1,0.678161,0.679245,0.62069,1] precision 0.8308531746031745 [1,1,0.588235,1,0.527778,1] precision 0.7719547739676454 [0.477064,1,1,0.666667,0.597015,1] precision 0.841292400090655 [1,1,1,0.401786,0.672131,1] precision 0.8335995223978373 [1,1,0.721519,0.756098,0.866667,0.65] precision 0.8321888237210817 [1,1,0.7625,0.770833,0.590909,0.933333] precision 0.8117888912371035 [1,1,1,0.365217,0.520548,1] predictive_accuracy 0.725 predictive_accuracy 0.7428571428571429 predictive_accuracy 0.775 predictive_accuracy 0.7607142857142857 predictive_accuracy 0.7285714285714286 predictive_accuracy 0.6464285714285714 predictive_accuracy 0.6881720430107526 predictive_accuracy 0.8136200716845878 predictive_accuracy 0.7921146953405018 predictive_accuracy 0.6129032258064516 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 recall 0.725 [0.741379,0.647059,0.882353,0.588235,0.878049,0.428571] recall 0.7428571428571429 [0.724138,0.764706,0.794118,0.627451,0.95122,0.535714] recall 0.775 [0.87931,0.470588,0.926471,0.666667,0.926829,0.535714] recall 0.7607142857142857 [0.775862,0.676471,0.867647,0.705882,0.878049,0.5] recall 0.7285714285714285 [0.758621,0.676471,0.882353,0.519231,0.926829,0.444444] recall 0.6464285714285715 [0.896552,0.828571,0.25,0.588235,0.97561,0.481481] recall 0.6881720430107527 [0.77193,0.705882,0.352941,0.882353,0.97619,0.518519] recall 0.8136200716845878 [0.824561,0.794118,0.838235,0.607843,0.928571,0.962963] recall 0.7921146953405018 [0.894737,0.558824,0.897059,0.72549,0.928571,0.518519] recall 0.6129032258064516 [0.754386,0.558824,0.235294,0.823529,0.904762,0.481481] relative_absolute_error 1.0168824860655392 relative_absolute_error 1.0168547124150127 relative_absolute_error 1.016706471016575 relative_absolute_error 1.0168154976208295 relative_absolute_error 1.0172556185458685 relative_absolute_error 1.0170235314203042 relative_absolute_error 1.0169717507149512 relative_absolute_error 1.016941390182151 relative_absolute_error 1.0169644856723195 relative_absolute_error 1.0170211478286126 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36926827610333357 root_mean_prior_squared_error 0.36936606105183667 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_squared_error 0.37232208719030185 root_mean_squared_error 0.3723118967414791 root_mean_squared_error 0.3722576654054727 root_mean_squared_error 0.37229755861054387 root_mean_squared_error 0.37232128917149154 root_mean_squared_error 0.3723349167241612 root_mean_squared_error 0.3723134904063052 root_mean_squared_error 0.37230233425033554 root_mean_squared_error 0.37231082367002744 root_mean_squared_error 0.3723315795282034 root_relative_squared_error 1.0078978294620227 root_relative_squared_error 1.0078702433165774 root_relative_squared_error 1.0077234358943743 root_relative_squared_error 1.0078314291512478 root_relative_squared_error 1.0082677372136448 root_relative_squared_error 1.0080377056404972 root_relative_squared_error 1.0079863128627204 root_relative_squared_error 1.0079561091424383 root_relative_squared_error 1.0079790930500163 root_relative_squared_error 1.0080352866113356 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 346.40731499894173 usercpu_time_millis 361.66166799739585 usercpu_time_millis 343.3429570031876 usercpu_time_millis 364.9099450049107 usercpu_time_millis 270.55624299828196 usercpu_time_millis 269.48643500509206 usercpu_time_millis 270.5371419979201 usercpu_time_millis 270.991221004806 usercpu_time_millis 270.61781200245605 usercpu_time_millis 269.76676099729957 usercpu_time_millis_testing 18.19633199920645 usercpu_time_millis_testing 14.688429000671022 usercpu_time_millis_testing 20.72551500168629 usercpu_time_millis_testing 14.745964002941037 usercpu_time_millis_testing 14.729655998962699 usercpu_time_millis_testing 14.714128003106453 usercpu_time_millis_testing 14.81575499929022 usercpu_time_millis_testing 14.863342003081925 usercpu_time_millis_testing 14.824824000243098 usercpu_time_millis_testing 14.754583000467392 usercpu_time_millis_training 328.2109829997353 usercpu_time_millis_training 346.97323899672483 usercpu_time_millis_training 322.61744200150133 usercpu_time_millis_training 350.16398100196966 usercpu_time_millis_training 255.82658699931926 usercpu_time_millis_training 254.7723070019856 usercpu_time_millis_training 255.7213869986299 usercpu_time_millis_training 256.12787900172407 usercpu_time_millis_training 255.79298800221295 usercpu_time_millis_training 255.01217799683218