5997424 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) 4032157 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 false 6948 threshold 0.0 6949 C 306.1874213222023 6953 cache_size 200 6953 class_weight null 6953 coef0 0.0 6953 decision_function_shape null 6953 degree 3 6953 gamma 0.02554878684519726 6953 kernel "rbf" 6953 max_iter -1 6953 probability true 6953 random_state 42893 6953 shrinking false 6953 tol 0.07693281442937643 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 12917981 description https://api.openml.org/data/download/12917981/description.xml -1 12917982 predictions https://api.openml.org/data/download/12917982/predictions.arff area_under_roc_curve 0.9876665523812901 [0.994676,0.976385,0.991988,0.984165,0.987781,0.982603] average_cost 0 f_measure 0.9082671625961378 [0.961606,0.916418,0.963944,0.857965,0.869148,0.800738] kappa 0.8876730693115119 kb_relative_information_score 2403.9337894459172 mean_absolute_error 0.05066010515321509 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.9086782775342549 [0.966667,0.933131,0.964654,0.841808,0.863962,0.809701] predictive_accuracy 0.9080829756795423 prior_entropy 2.5206634795042744 recall 0.9080829756795422 [0.956597,0.900293,0.963235,0.874755,0.874396,0.791971] relative_absolute_error 0.18564977433615226 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.14464533770978436 root_relative_squared_error 0.3915993415969744 total_cost 0 area_under_roc_curve 0.9912358944389299 [0.999534,0.99737,0.985502,0.985701,0.990917,0.991071] area_under_roc_curve 0.9814375808342662 [0.987729,0.998087,0.980647,0.978337,0.96816,0.975198] area_under_roc_curve 0.9889834116997435 [0.998136,0.997728,0.980022,0.981933,0.98857,0.994615] area_under_roc_curve 0.984240412479415 [0.989515,0.928623,0.998335,0.986471,0.996632,0.98441] area_under_roc_curve 0.9944843344391964 [0.999612,0.999163,0.998335,0.991565,0.996122,0.971014] area_under_roc_curve 0.9853401030062461 [0.997981,0.947522,0.996878,0.980992,0.990917,0.977895] area_under_roc_curve 0.9947844948422229 [0.999447,0.995918,0.999652,0.99226,0.989954,0.983539] area_under_roc_curve 0.9840564336900499 [1,0.939016,0.994285,0.979446,0.986739,0.985891] area_under_roc_curve 0.9903759947456556 [0.992097,0.990876,0.993867,0.993206,0.986438,0.978101] area_under_roc_curve 0.9868204604272811 [0.984511,0.984034,0.997352,0.979962,0.985031,0.984421] 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 0.9251991492526709 [0.965517,0.925373,0.992593,0.848485,0.904762,0.847458] f_measure 0.8707417924141335 [0.929825,0.90411,0.941176,0.854369,0.763158,0.724138] f_measure 0.9079797808012093 [0.965517,0.911765,0.962963,0.86,0.857143,0.8125] f_measure 0.9168932036990758 [0.965517,0.848485,0.970588,0.893204,0.930233,0.792453] f_measure 0.9279760668037105 [0.964912,0.970588,0.955882,0.895238,0.930233,0.784314] f_measure 0.8914648688728397 [0.955752,0.923077,0.962406,0.807339,0.850575,0.754717] f_measure 0.9245934791750592 [0.982456,0.909091,0.971014,0.87037,0.875,0.884615] f_measure 0.8952612016363463 [0.974359,0.888889,0.963504,0.815534,0.835165,0.808511] f_measure 0.9147587052820891 [0.964286,0.953846,0.955882,0.87037,0.86747,0.814815] f_measure 0.9060906844869182 [0.947368,0.927536,0.963504,0.865385,0.86747,0.784314] kappa 0.9085237791502668 kappa 0.843173862310385 kappa 0.8868528620941546 kappa 0.8995742822835933 kappa 0.9126678414921323 kappa 0.864784870860205 kappa 0.9078280841959536 kappa 0.8725686296127132 kappa 0.8948327312706141 kappa 0.8860097113314581 kb_relative_information_score 244.84450807657348 kb_relative_information_score 232.40585869698384 kb_relative_information_score 242.94495790734925 kb_relative_information_score 242.60298815093768 kb_relative_information_score 245.78790179127387 kb_relative_information_score 236.84252897411912 kb_relative_information_score 241.5326888100468 kb_relative_information_score 239.7134636963989 kb_relative_information_score 239.68595319406163 kb_relative_information_score 237.57294014817165 mean_absolute_error 0.04788605642437182 mean_absolute_error 0.058121924883098 mean_absolute_error 0.04902243023060284 mean_absolute_error 0.04805806301781021 mean_absolute_error 0.0459969734686461 mean_absolute_error 0.053828976796980885 mean_absolute_error 0.04893042093974513 mean_absolute_error 0.049668506562515424 mean_absolute_error 0.05157613899412281 mean_absolute_error 0.05351531005690225 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 0.9263485615722112 [0.965517,0.939394,1,0.875,0.883721,0.806452] precision 0.8728120094191524 [0.946429,0.846154,0.941176,0.846154,0.828571,0.7] precision 0.9126100244646543 [0.965517,0.911765,0.970149,0.877551,0.916667,0.722222] precision 0.9172493894993894 [0.965517,0.875,0.970588,0.884615,0.888889,0.84] precision 0.9286497775210714 [0.982143,0.970588,0.955882,0.886792,0.888889,0.833333] precision 0.8976301696803944 [0.981818,1,0.984615,0.758621,0.804348,0.769231] precision 0.9266579082113887 [0.982456,0.9375,0.957143,0.824561,0.921053,0.92] precision 0.9012000026218722 [0.95,0.965517,0.956522,0.807692,0.77551,0.95] precision 0.9171839309070664 [0.981818,1,0.955882,0.824561,0.878049,0.814815] precision 0.906125907238439 [0.947368,0.914286,0.956522,0.849057,0.878049,0.833333] predictive_accuracy 0.925 predictive_accuracy 0.8714285714285714 predictive_accuracy 0.907142857142857 predictive_accuracy 0.9178571428571429 predictive_accuracy 0.9285714285714286 predictive_accuracy 0.8892857142857143 predictive_accuracy 0.9247311827956989 predictive_accuracy 0.8960573476702508 predictive_accuracy 0.9139784946236559 predictive_accuracy 0.9068100358422939 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 0.925 [0.965517,0.911765,0.985294,0.823529,0.926829,0.892857] recall 0.8714285714285714 [0.913793,0.970588,0.941176,0.862745,0.707317,0.75] recall 0.9071428571428571 [0.965517,0.911765,0.955882,0.843137,0.804878,0.928571] recall 0.9178571428571428 [0.965517,0.823529,0.970588,0.901961,0.97561,0.75] recall 0.9285714285714286 [0.948276,0.970588,0.955882,0.903846,0.97561,0.740741] recall 0.8892857142857142 [0.931034,0.857143,0.941176,0.862745,0.902439,0.740741] recall 0.9247311827956989 [0.982456,0.882353,0.985294,0.921569,0.833333,0.851852] recall 0.8960573476702509 [1,0.823529,0.970588,0.823529,0.904762,0.703704] recall 0.9139784946236559 [0.947368,0.911765,0.955882,0.921569,0.857143,0.814815] recall 0.9068100358422939 [0.947368,0.941176,0.970588,0.882353,0.857143,0.740741] relative_absolute_error 0.1754678713699257 relative_absolute_error 0.21297494930005004 relative_absolute_error 0.17963186205424553 relative_absolute_error 0.17609815151963681 relative_absolute_error 0.16860795539856038 relative_absolute_error 0.19726496597585771 relative_absolute_error 0.17931459489885415 relative_absolute_error 0.18201944643918128 relative_absolute_error 0.18901031899085685 relative_absolute_error 0.19611677070093048 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 0.13323060277462573 root_mean_squared_error 0.1686005807022887 root_mean_squared_error 0.1399041465939387 root_mean_squared_error 0.14163523449999452 root_mean_squared_error 0.1274314268926938 root_mean_squared_error 0.1561211147497798 root_mean_squared_error 0.13424460645635314 root_mean_squared_error 0.1472206371271242 root_mean_squared_error 0.14502156680939254 root_mean_squared_error 0.14855953255920162 root_relative_squared_error 0.3606630924526037 root_relative_squared_error 0.4564117069128305 root_relative_squared_error 0.3787287688164862 root_relative_squared_error 0.3834149257842029 root_relative_squared_error 0.3450917263659937 root_relative_squared_error 0.42267314518609717 root_relative_squared_error 0.3634483556746102 root_relative_squared_error 0.3985791302730548 root_relative_squared_error 0.39262545725713166 root_relative_squared_error 0.40220400099266174 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 2843.0448530000003 usercpu_time_millis 2636.241536 usercpu_time_millis 2653.706928 usercpu_time_millis 2649.046887000001 usercpu_time_millis 2676.637671 usercpu_time_millis 2628.438602000003 usercpu_time_millis 2697.036376 usercpu_time_millis 2734.9408980000017 usercpu_time_millis 2638.804783999998 usercpu_time_millis 2644.6666930000015 usercpu_time_millis_testing 86.3247359999999 usercpu_time_millis_testing 84.43189499999981 usercpu_time_millis_testing 84.10915400000007 usercpu_time_millis_testing 85.62671299999991 usercpu_time_millis_testing 85.17841000000104 usercpu_time_millis_testing 83.64143600000062 usercpu_time_millis_testing 86.85757299999963 usercpu_time_millis_testing 83.19712400000157 usercpu_time_millis_testing 83.07521300000076 usercpu_time_millis_testing 85.96223099999989 usercpu_time_millis_training 2756.7201170000003 usercpu_time_millis_training 2551.8096410000003 usercpu_time_millis_training 2569.597774 usercpu_time_millis_training 2563.4201740000008 usercpu_time_millis_training 2591.459260999999 usercpu_time_millis_training 2544.797166000002 usercpu_time_millis_training 2610.1788030000002 usercpu_time_millis_training 2651.743774 usercpu_time_millis_training 2555.729570999997 usercpu_time_millis_training 2558.7044620000015