8810121 1 Jan van Rijn 9977 Supervised Classification 7707 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 6785202 axis 0 7660 categorical_features [6, 7, 14, 15, 22, 23, 30, 31, 38, 39, 46, 47, 54, 55, 62, 63, 70, 71, 78, 79, 86, 87, 91, 95, 99, 103, 107, 111, 115] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "median" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 categorical_features [6, 7, 14, 15, 22, 23, 30, 31, 38, 39, 46, 47, 54, 55, 62, 63, 70, 71, 78, 79, 86, 87, 91, 95, 99, 103, 107, 111, 115] 7661 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7661 handle_unknown "ignore" 7661 n_values "auto" 7661 sparse true 7661 threshold 0.0 7662 copy true 7663 with_mean false 7663 with_std true 7663 C 1135.9931493501965 7708 cache_size 200 7708 class_weight null 7708 coef0 -0.0783346508801166 7708 decision_function_shape null 7708 degree 1 7708 gamma 0.8100353806673387 7708 kernel "rbf" 7708 max_iter -1 7708 probability true 7708 random_state 4601 7708 shrinking true 7708 tol 0.05403920799150269 7708 verbose false 7708 openml-pimp openml-python Sklearn_0.18.1. study_71 1486 nomao https://www.openml.org/data/download/1592278/phpDYCOet -1 18536185 description https://api.openml.org/data/download/18536185/description.xml -1 18536186 predictions https://api.openml.org/data/download/18536186/predictions.arff area_under_roc_curve 0.9522763053548765 [0.952276,0.952276] average_cost 0 f_measure 0.8654980860589085 [0.731631,0.919021] kappa 0.6562443243217393 kb_relative_information_score 18961.099685446345 mean_absolute_error 0.18606088774952603 mean_prior_absolute_error 0.4080904194746198 number_of_instances 34465 [9844,24621] precision 0.8857067257650733 [0.952886,0.858847] predictive_accuracy 0.8755839257217467 prior_entropy 0.8630164444447486 recall 0.8755839257217467 [0.593763,0.988262] relative_absolute_error 0.455930545953671 root_mean_prior_squared_error 0.4517106852187937 root_mean_squared_error 0.2954810479743675 root_relative_squared_error 0.6541378312342694 total_cost 0 area_under_roc_curve 0.9637728394891275 [0.963772,0.963773] area_under_roc_curve 0.971462060888964 [0.971462,0.971462] area_under_roc_curve 0.9714270103543404 [0.971427,0.971427] area_under_roc_curve 0.9731865471924521 [0.973187,0.973187] area_under_roc_curve 0.9724127550957292 [0.972413,0.972413] area_under_roc_curve 0.9694537869931908 [0.969454,0.969454] area_under_roc_curve 0.9684001410476133 [0.9684,0.9684] area_under_roc_curve 0.967641660930318 [0.967641,0.967642] area_under_roc_curve 0.9641056250123835 [0.964106,0.964106] area_under_roc_curve 0.9674284902881524 [0.967428,0.967428] 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 0.8513075354718811 [0.699166,0.91209] f_measure 0.868477139756289 [0.738996,0.92028] f_measure 0.8691019514439077 [0.740236,0.920659] f_measure 0.8675653404379359 [0.736449,0.920023] f_measure 0.8691569825347867 [0.738885,0.921276] f_measure 0.8689053043251962 [0.739266,0.920719] f_measure 0.8702984365342342 [0.74321,0.921093] f_measure 0.8677971158249642 [0.73743,0.919902] f_measure 0.8606707583288332 [0.720253,0.916792] f_measure 0.8613410700614929 [0.720915,0.917466] kappa 0.618920564518125 kappa 0.6642986306953444 kappa 0.665893411547148 kappa 0.6617793638882544 kappa 0.6656604373957223 kappa 0.6651232542098653 kappa 0.6689959897221622 kappa 0.6623892606257687 kappa 0.6434409113637682 kappa 0.6450012038280324 kb_relative_information_score 1847.6517601726564 kb_relative_information_score 1916.8995116737412 kb_relative_information_score 1897.3160122986383 kb_relative_information_score 1912.9557484839033 kb_relative_information_score 1913.4953732404188 kb_relative_information_score 1903.3954908142807 kb_relative_information_score 1912.7472325022345 kb_relative_information_score 1910.1703986918023 kb_relative_information_score 1875.1491889890415 kb_relative_information_score 1871.3189685796353 mean_absolute_error 0.19075159999878233 mean_absolute_error 0.18387509338772745 mean_absolute_error 0.18651435221830281 mean_absolute_error 0.1844392252890815 mean_absolute_error 0.18509095279974835 mean_absolute_error 0.184815818455212 mean_absolute_error 0.183807697479499 mean_absolute_error 0.18422978079783864 mean_absolute_error 0.18790815667022356 mean_absolute_error 0.1891760939609655 mean_prior_absolute_error 0.4080229059806574 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.4081472833897437 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 mean_prior_absolute_error 0.40805842175852763 number_of_instances 3447 [984,2463] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3447 [985,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] number_of_instances 3446 [984,2462] precision 0.8758858796708399 [0.947826,0.847145] precision 0.8868790632733081 [0.949045,0.862008] precision 0.8875874562773306 [0.950637,0.862363] precision 0.8870895270548573 [0.953226,0.86063] precision 0.8902122195835969 [0.964052,0.86067] precision 0.8880058916815239 [0.953451,0.861849] precision 0.8876101019931733 [0.946541,0.864057] precision 0.8861289555641739 [0.947368,0.861653] precision 0.88302990841729 [0.954698,0.854386] precision 0.8850549369189428 [0.962649,0.854043] predictive_accuracy 0.8639396576733391 predictive_accuracy 0.8778648099796925 predictive_accuracy 0.8784450246591239 predictive_accuracy 0.8772845953002611 predictive_accuracy 0.8790252393385551 predictive_accuracy 0.8784097504352872 predictive_accuracy 0.8792803250145096 predictive_accuracy 0.8772489843296576 predictive_accuracy 0.8717353453279165 predictive_accuracy 0.8726059199071388 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 prior_entropy 0.8630164444447486 recall 0.8639396576733391 [0.553862,0.98782] recall 0.8778648099796925 [0.605076,0.987002] recall 0.8784450246591239 [0.606091,0.987409] recall 0.8772845953002611 [0.6,0.988221] recall 0.8790252393385553 [0.598985,0.991064] recall 0.8784097504352872 [0.603659,0.988221] recall 0.8792803250145096 [0.611789,0.98619] recall 0.8772489843296576 [0.603659,0.986596] recall 0.8717353453279164 [0.578252,0.989033] recall 0.8726059199071388 [0.57622,0.991064] relative_absolute_error 0.4675021848107347 relative_absolute_error 0.45051161889553326 relative_absolute_error 0.4569780562282918 relative_absolute_error 0.45189379617396286 relative_absolute_error 0.4534905910987119 relative_absolute_error 0.4529150940170485 relative_absolute_error 0.4504445630294304 relative_absolute_error 0.45147893285451735 relative_absolute_error 0.4604932692246209 relative_absolute_error 0.46360051373455585 root_mean_prior_squared_error 0.4516359481339797 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.45177362368332785 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_prior_squared_error 0.4516752654560011 root_mean_squared_error 0.3039944066515056 root_mean_squared_error 0.2925023788080227 root_mean_squared_error 0.2947234927544738 root_mean_squared_error 0.2935746479642672 root_mean_squared_error 0.29081404773956876 root_mean_squared_error 0.29360423386440365 root_mean_squared_error 0.2939826722224005 root_mean_squared_error 0.2940638067599629 root_mean_squared_error 0.298245548927042 root_mean_squared_error 0.2990761174865434 root_relative_squared_error 0.6730961251147448 root_relative_squared_error 0.647453422409302 root_relative_squared_error 0.6523698536262071 root_relative_squared_error 0.6498268880124999 root_relative_squared_error 0.6437163050125649 root_relative_squared_error 0.6500338989516892 root_relative_squared_error 0.6508717539039961 root_relative_squared_error 0.6510513841467116 root_relative_squared_error 0.6603096776307643 root_relative_squared_error 0.6621485398023798 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 3108268.382223 usercpu_time_millis 3019435.4500160003 usercpu_time_millis 3042563.71857 usercpu_time_millis 2993384.7355239997 usercpu_time_millis 3016744.3381719985 usercpu_time_millis 3059750.310218997 usercpu_time_millis 3061540.6885529957 usercpu_time_millis 3017987.7570060017 usercpu_time_millis 3002352.982779001 usercpu_time_millis 3012436.5978629976 usercpu_time_millis_testing 42556.48783900005 usercpu_time_millis_testing 43326.1328640001 usercpu_time_millis_testing 43573.547382999095 usercpu_time_millis_testing 43439.10891999985 usercpu_time_millis_testing 43632.549682999525 usercpu_time_millis_testing 43771.63756599839 usercpu_time_millis_testing 43573.362077997444 usercpu_time_millis_testing 43256.94372200087 usercpu_time_millis_testing 43777.599102999375 usercpu_time_millis_testing 44644.47718899828 usercpu_time_millis_training 3065711.894384 usercpu_time_millis_training 2976109.317152 usercpu_time_millis_training 2998990.171187001 usercpu_time_millis_training 2949945.6266039996 usercpu_time_millis_training 2973111.788488999 usercpu_time_millis_training 3015978.6726529985 usercpu_time_millis_training 3017967.326474998 usercpu_time_millis_training 2974730.813284001 usercpu_time_millis_training 2958575.3836760013 usercpu_time_millis_training 2967792.120673999