6057318 1 Jan van Rijn 14967 Supervised Classification 6952 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 4091967 axis 0 6947 categorical_features [0, 1] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "most_frequent" 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 true 6948 threshold 0.0 6949 C 28.190896301152264 6953 cache_size 200 6953 class_weight null 6953 coef0 0.0 6953 decision_function_shape null 6953 degree 3 6953 gamma 0.00023903207447897802 6953 kernel "rbf" 6953 max_iter -1 6953 probability true 6953 random_state 11613 6953 shrinking false 6953 tol 0.003567688950088855 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 13037774 description https://api.openml.org/data/download/13037774/description.xml -1 13037775 predictions https://api.openml.org/data/download/13037775/predictions.arff area_under_roc_curve 0.9668285137120928 [0.978942,0.956492,0.977893,0.961313,0.964641,0.94036] average_cost 0 f_measure 0.8801603776863225 [0.952212,0.901903,0.958641,0.867662,0.820339,0.620561] kappa 0.853316070816291 kb_relative_information_score 2073.131757247362 mean_absolute_error 0.09954796008625497 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.8818253918903802 [0.971119,0.900585,0.962908,0.882591,0.770701,0.636015] predictive_accuracy 0.8798283261802575 prior_entropy 2.5206634795042744 recall 0.8798283261802575 [0.934028,0.903226,0.954412,0.853229,0.876812,0.605839] relative_absolute_error 0.3648049341734271 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.1902940113742009 root_relative_squared_error 0.515184317336925 total_cost 0 area_under_roc_curve 0.964185401084202 [0.9694,0.934481,0.985641,0.949739,0.97663,0.945437] area_under_roc_curve 0.9726533474477372 [0.961168,0.995098,0.983144,0.980392,0.950913,0.961451] area_under_roc_curve 0.9696442827309643 [0.99402,0.990077,0.965247,0.980906,0.925809,0.948696] area_under_roc_curve 0.9653049860285569 [0.994952,0.867049,0.987722,0.96087,0.97959,0.955924] area_under_roc_curve 0.9772364222667913 [0.990214,0.999402,0.972808,0.969045,0.982957,0.939687] area_under_roc_curve 0.9491610616563122 [0.9468,0.916035,0.959212,0.943916,0.984488,0.928122] area_under_roc_curve 0.9775000609109156 [0.984511,0.968788,1,0.986154,0.968154,0.915197] area_under_roc_curve 0.9681135127063151 [0.99834,0.944058,0.983691,0.928363,0.975286,0.959289] area_under_roc_curve 0.9584718089388301 [0.965386,0.978992,0.96787,0.943154,0.954893,0.928865] area_under_roc_curve 0.968801134120305 [0.98459,0.984634,0.975885,0.971448,0.948664,0.924015] 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 0.8916640407302859 [0.964912,0.892308,0.977778,0.863158,0.826087,0.677966] f_measure 0.8886024403211682 [0.946429,0.914286,0.938462,0.893204,0.819277,0.709677] f_measure 0.8679560802072912 [0.940171,0.927536,0.940299,0.88,0.744186,0.62963] f_measure 0.8789868163310267 [0.964912,0.80597,0.964029,0.884615,0.860465,0.6] f_measure 0.8751494907650356 [0.938053,0.942857,0.942029,0.873786,0.860215,0.511628] f_measure 0.8566356510176614 [0.920354,0.914286,0.948148,0.838095,0.844444,0.468085] f_measure 0.872488893011865 [0.955752,0.882353,0.978417,0.867925,0.825,0.5] f_measure 0.8837279510418243 [0.99115,0.882353,0.970149,0.821053,0.8,0.689655] f_measure 0.8868436733506837 [0.964286,0.925373,0.948148,0.854167,0.847826,0.642857] f_measure 0.8913140419850762 [0.93578,0.927536,0.977778,0.897959,0.774194,0.703704] kappa 0.8650896035064268 kappa 0.8610895786177172 kappa 0.8386996325590086 kappa 0.8557106717886255 kappa 0.8556475550695204 kappa 0.829710257929701 kappa 0.8464357042884776 kappa 0.8559335294485824 kappa 0.8601722787783869 kappa 0.8645694690196201 kb_relative_information_score 206.86377856628107 kb_relative_information_score 209.6460128355082 kb_relative_information_score 209.31696814651875 kb_relative_information_score 208.1863874955376 kb_relative_information_score 206.59053459075022 kb_relative_information_score 204.06674476281816 kb_relative_information_score 207.500974282195 kb_relative_information_score 206.49995134188342 kb_relative_information_score 206.7134517448313 kb_relative_information_score 207.74695348104405 mean_absolute_error 0.10030154621411619 mean_absolute_error 0.09930948265607845 mean_absolute_error 0.09650802516804685 mean_absolute_error 0.09865442040285691 mean_absolute_error 0.10101647367449589 mean_absolute_error 0.10187635007763436 mean_absolute_error 0.09747745076786753 mean_absolute_error 0.10167323559044562 mean_absolute_error 0.09808243859424794 mean_absolute_error 0.10057882095089779 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 0.8996145534416331 [0.982143,0.935484,0.985075,0.931818,0.745098,0.645161] precision 0.8945531493545862 [0.981481,0.888889,0.983871,0.884615,0.809524,0.647059] precision 0.8690063144127482 [0.932203,0.914286,0.954545,0.897959,0.711111,0.653846] precision 0.8786344741513965 [0.982143,0.818182,0.943662,0.867925,0.822222,0.681818] precision 0.879227669214539 [0.963636,0.916667,0.928571,0.882353,0.769231,0.6875] precision 0.8571180765709396 [0.945455,0.914286,0.955224,0.814815,0.77551,0.55] precision 0.8718970463897412 [0.964286,0.882353,0.957746,0.836364,0.868421,0.52] precision 0.8892243629496491 [1,0.882353,0.984848,0.886364,0.75,0.645161] precision 0.8919123352686349 [0.981818,0.939394,0.955224,0.911111,0.78,0.62069] precision 0.8973705187850156 [0.980769,0.914286,0.985075,0.93617,0.705882,0.703704] predictive_accuracy 0.8892857142857143 predictive_accuracy 0.8857142857142857 predictive_accuracy 0.8678571428571429 predictive_accuracy 0.8821428571428571 predictive_accuracy 0.8821428571428571 predictive_accuracy 0.8607142857142857 predictive_accuracy 0.8745519713261649 predictive_accuracy 0.8817204301075269 predictive_accuracy 0.8853046594982079 predictive_accuracy 0.8888888888888888 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 0.8892857142857142 [0.948276,0.852941,0.970588,0.803922,0.926829,0.714286] recall 0.8857142857142857 [0.913793,0.941176,0.897059,0.901961,0.829268,0.785714] recall 0.8678571428571429 [0.948276,0.941176,0.926471,0.862745,0.780488,0.607143] recall 0.8821428571428571 [0.948276,0.794118,0.985294,0.901961,0.902439,0.535714] recall 0.8821428571428571 [0.913793,0.970588,0.955882,0.865385,0.97561,0.407407] recall 0.8607142857142858 [0.896552,0.914286,0.941176,0.862745,0.926829,0.407407] recall 0.8745519713261649 [0.947368,0.882353,1,0.901961,0.785714,0.481481] recall 0.8817204301075269 [0.982456,0.882353,0.955882,0.764706,0.857143,0.740741] recall 0.8853046594982079 [0.947368,0.911765,0.941176,0.803922,0.928571,0.666667] recall 0.8888888888888888 [0.894737,0.941176,0.970588,0.862745,0.857143,0.703704] relative_absolute_error 0.36753285034233374 relative_absolute_error 0.3638976526712229 relative_absolute_error 0.35363233080378975 relative_absolute_error 0.36149732180728755 relative_absolute_error 0.37028916912194804 relative_absolute_error 0.3733423135201834 relative_absolute_error 0.3572241820224204 relative_absolute_error 0.37260041303154756 relative_absolute_error 0.3594412720233368 relative_absolute_error 0.3685897277774076 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 0.19261315240266616 root_mean_squared_error 0.18785283645025388 root_mean_squared_error 0.187516698672161 root_mean_squared_error 0.1881929788024204 root_mean_squared_error 0.18524903604089177 root_mean_squared_error 0.2027888625113109 root_mean_squared_error 0.1857692528333743 root_mean_squared_error 0.1899322670654601 root_mean_squared_error 0.19454115929385976 root_mean_squared_error 0.18781675913892706 root_relative_squared_error 0.5214151534696859 root_relative_squared_error 0.5085286976802997 root_relative_squared_error 0.5076187529077598 root_relative_squared_error 0.5094494830708305 root_relative_squared_error 0.5016651795700232 root_relative_squared_error 0.5490186671017715 root_relative_squared_error 0.5029440754414424 root_relative_squared_error 0.5142148498676277 root_relative_squared_error 0.5266927761405017 root_relative_squared_error 0.5084874102511614 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 4186.812321000616 usercpu_time_millis 4028.9768379952875 usercpu_time_millis 4041.7990690002625 usercpu_time_millis 4030.1931709946075 usercpu_time_millis 3990.135664000263 usercpu_time_millis 3994.001085000491 usercpu_time_millis 4043.4509879996767 usercpu_time_millis 4054.0485019992047 usercpu_time_millis 4021.2417479997384 usercpu_time_millis 4004.9578149992158 usercpu_time_millis_testing 122.82201999914832 usercpu_time_millis_testing 122.47888499769033 usercpu_time_millis_testing 122.7062729994941 usercpu_time_millis_testing 122.90619599662023 usercpu_time_millis_testing 122.15957499938668 usercpu_time_millis_testing 122.1000900004583 usercpu_time_millis_testing 121.95530600001803 usercpu_time_millis_testing 122.1305549988756 usercpu_time_millis_testing 121.50075300087337 usercpu_time_millis_testing 121.10992499947315 usercpu_time_millis_training 4063.9903010014677 usercpu_time_millis_training 3906.497952997597 usercpu_time_millis_training 3919.0927960007684 usercpu_time_millis_training 3907.2869749979873 usercpu_time_millis_training 3867.9760890008765 usercpu_time_millis_training 3871.9009950000327 usercpu_time_millis_training 3921.4956819996587 usercpu_time_millis_training 3931.917947000329 usercpu_time_millis_training 3899.740994998865 usercpu_time_millis_training 3883.8478899997426