6054013 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) 4088666 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 816.1269652431229 6953 cache_size 200 6953 class_weight null 6953 coef0 0.0 6953 decision_function_shape null 6953 degree 3 6953 gamma 0.5014595262095785 6953 kernel "rbf" 6953 max_iter -1 6953 probability true 6953 random_state 16728 6953 shrinking false 6953 tol 0.05411201752555723 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 13031184 description https://api.openml.org/data/download/13031184/description.xml -1 13031185 predictions https://api.openml.org/data/download/13031185/predictions.arff area_under_roc_curve 0.9788330089795747 [0.987684,0.981626,0.991631,0.976912,0.962378,0.953432] average_cost 0 f_measure 0.8501900164589569 [0.938628,0.917058,0.955423,0.855603,0.673684,0.57649] kappa 0.8068308722925297 kb_relative_information_score 2243.7880551013727 mean_absolute_error 0.06541473988637249 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.8690276409527237 [0.977444,0.983221,0.965465,0.952038,0.597015,0.51585] predictive_accuracy 0.8412017167381974 prior_entropy 2.5206634795042744 recall 0.8412017167381974 [0.902778,0.859238,0.945588,0.776908,0.772947,0.653285] relative_absolute_error 0.23971982808631082 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.17418764155365402 root_relative_squared_error 0.47157942887589244 total_cost 0 area_under_roc_curve 0.982655174027435 [0.988583,0.987984,0.995907,0.985101,0.969181,0.946995] area_under_roc_curve 0.9813115327307328 [0.988894,0.99725,0.986057,0.984845,0.962343,0.956066] area_under_roc_curve 0.9823238528336865 [0.994059,0.988881,0.99067,0.977181,0.961578,0.969529] area_under_roc_curve 0.9791718868643218 [0.985788,0.976327,0.995977,0.982447,0.959588,0.950822] area_under_roc_curve 0.9847861906165198 [0.989981,0.997131,0.994347,0.97613,0.972548,0.969258] area_under_roc_curve 0.9768866571456061 [0.99169,0.980525,0.993688,0.970588,0.952342,0.947226] area_under_roc_curve 0.9838120720176731 [0.992572,0.986435,0.99763,0.983488,0.958107,0.967813] area_under_roc_curve 0.9846249992852449 [0.998498,0.976591,0.992891,0.972738,0.979908,0.974427] area_under_roc_curve 0.9807388994139877 [0.993599,0.979832,0.994146,0.976264,0.964939,0.953998] area_under_roc_curve 0.9765190329054323 [0.986882,0.980432,0.989685,0.976006,0.96082,0.941946] 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 0.8513584957706904 [0.955752,0.923077,0.970588,0.818182,0.678899,0.571429] f_measure 0.8732614406027434 [0.909091,0.985075,0.953846,0.905263,0.678899,0.693878] f_measure 0.8604584539651985 [0.964286,0.903226,0.940299,0.863158,0.739726,0.571429] f_measure 0.8210409840574187 [0.928571,0.888889,0.948905,0.851064,0.596154,0.48] f_measure 0.8531451679077884 [0.909091,0.955224,0.948148,0.83871,0.672897,0.666667] f_measure 0.8502010761211013 [0.945455,0.923077,0.955224,0.869565,0.666667,0.528736] f_measure 0.8476799068370139 [0.954128,0.866667,0.942857,0.87234,0.685714,0.564706] f_measure 0.8658838043389283 [0.947368,0.870968,0.970149,0.847826,0.701754,0.714286] f_measure 0.8580534397439413 [0.945455,0.920635,0.954545,0.87234,0.710526,0.554217] f_measure 0.8311762485194546 [0.925926,0.923077,0.970149,0.813187,0.637931,0.5] kappa 0.8126624033359785 kappa 0.8348492844503772 kappa 0.813921859545005 kappa 0.7732016573725038 kappa 0.8127556336604407 kappa 0.797113961519487 kappa 0.7999750631214737 kappa 0.8290011315061604 kappa 0.8092278046278885 kappa 0.7856706122129027 kb_relative_information_score 223.69949912616093 kb_relative_information_score 225.47660072832926 kb_relative_information_score 223.53769108943868 kb_relative_information_score 223.07953350706862 kb_relative_information_score 230.25780939320558 kb_relative_information_score 223.249396443249 kb_relative_information_score 222.89822920652426 kb_relative_information_score 227.6526672529302 kb_relative_information_score 222.71765631129202 kb_relative_information_score 221.2189720431728 mean_absolute_error 0.06628284813498861 mean_absolute_error 0.06781625377987718 mean_absolute_error 0.06762122594787126 mean_absolute_error 0.06584958606983937 mean_absolute_error 0.05888108554059734 mean_absolute_error 0.0661628824305758 mean_absolute_error 0.06562426156656329 mean_absolute_error 0.060298963093420435 mean_absolute_error 0.06706905056686664 mean_absolute_error 0.06854079211812446 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 0.8801635434628793 [0.981818,0.967742,0.970588,0.972973,0.544118,0.666667] precision 0.9020915359150653 [0.961538,1,1,0.977273,0.544118,0.809524] precision 0.8965198863636363 [1,1,0.954545,0.931818,0.84375,0.428571] precision 0.8415235713774568 [0.962963,0.965517,0.942029,0.930233,0.492063,0.545455] precision 0.8789022542454858 [0.961538,0.969697,0.955224,0.95122,0.545455,0.761905] precision 0.8956693820865732 [1,1,0.969697,0.97561,0.774194,0.383333] precision 0.8929521652443762 [1,1,0.916667,0.953488,0.857143,0.413793] precision 0.9053797122247161 [0.947368,0.964286,0.984848,0.95122,0.555556,1] precision 0.8958142013239687 [0.981132,1,0.984375,0.953488,0.794118,0.410714] precision 0.8652360715147641 [0.980392,0.967742,0.984848,0.925,0.5,0.647059] predictive_accuracy 0.8464285714285714 predictive_accuracy 0.8642857142857143 predictive_accuracy 0.8464285714285714 predictive_accuracy 0.8142857142857143 predictive_accuracy 0.8464285714285714 predictive_accuracy 0.8321428571428571 predictive_accuracy 0.8351254480286738 predictive_accuracy 0.8602150537634408 predictive_accuracy 0.8422939068100358 predictive_accuracy 0.8243727598566308 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 0.8464285714285714 [0.931034,0.882353,0.970588,0.705882,0.902439,0.5] recall 0.8642857142857143 [0.862069,0.970588,0.911765,0.843137,0.902439,0.607143] recall 0.8464285714285714 [0.931034,0.823529,0.926471,0.803922,0.658537,0.857143] recall 0.8142857142857143 [0.896552,0.823529,0.955882,0.784314,0.756098,0.428571] recall 0.8464285714285714 [0.862069,0.941176,0.941176,0.75,0.878049,0.592593] recall 0.8321428571428572 [0.896552,0.857143,0.941176,0.784314,0.585366,0.851852] recall 0.8351254480286738 [0.912281,0.764706,0.970588,0.803922,0.571429,0.888889] recall 0.8602150537634409 [0.947368,0.794118,0.955882,0.764706,0.952381,0.555556] recall 0.8422939068100358 [0.912281,0.852941,0.926471,0.803922,0.642857,0.851852] recall 0.8243727598566308 [0.877193,0.882353,0.955882,0.72549,0.880952,0.407407] relative_absolute_error 0.24287884906436152 relative_absolute_error 0.24849767518089852 relative_absolute_error 0.2477830387899479 relative_absolute_error 0.2412912559737268 relative_absolute_error 0.21583636261231767 relative_absolute_error 0.24246455214553211 relative_absolute_error 0.24049226743492702 relative_absolute_error 0.22097672434154136 relative_absolute_error 0.2457869644624214 relative_absolute_error 0.2511804341075035 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 0.17445981314649192 root_mean_squared_error 0.17368829557614798 root_mean_squared_error 0.17543504478374228 root_mean_squared_error 0.17717913292785703 root_mean_squared_error 0.1664198736913417 root_mean_squared_error 0.1778859059532536 root_mean_squared_error 0.1743854645464808 root_mean_squared_error 0.1672034797831585 root_mean_squared_error 0.17644653701862742 root_mean_squared_error 0.17832475438512257 root_relative_squared_error 0.4722729944002082 root_relative_squared_error 0.47018445087487065 root_relative_squared_error 0.47491300390870916 root_relative_squared_error 0.4796343532869029 root_relative_squared_error 0.45067471120853037 root_relative_squared_error 0.48159786377419544 root_relative_squared_error 0.4721240727356761 root_relative_squared_error 0.4526798609970221 root_relative_squared_error 0.47770413602984974 root_relative_squared_error 0.4827891448914468 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 3156.0396929999115 usercpu_time_millis 2975.0414159934735 usercpu_time_millis 2997.286689991597 usercpu_time_millis 3011.5191439981572 usercpu_time_millis 3021.460357995238 usercpu_time_millis 3039.5042410018505 usercpu_time_millis 3080.0698260063655 usercpu_time_millis 3041.7120089987293 usercpu_time_millis 2991.6981229980593 usercpu_time_millis 2987.0749229958165 usercpu_time_millis_testing 81.05644000170287 usercpu_time_millis_testing 80.23842499824241 usercpu_time_millis_testing 81.99965999665437 usercpu_time_millis_testing 81.48998500109883 usercpu_time_millis_testing 81.8054609990213 usercpu_time_millis_testing 82.65751200087834 usercpu_time_millis_testing 83.11273400613572 usercpu_time_millis_testing 80.39275099872611 usercpu_time_millis_testing 80.97747700230684 usercpu_time_millis_testing 80.42733799811685 usercpu_time_millis_training 3074.9832529982086 usercpu_time_millis_training 2894.802990995231 usercpu_time_millis_training 2915.2870299949427 usercpu_time_millis_training 2930.0291589970584 usercpu_time_millis_training 2939.654896996217 usercpu_time_millis_training 2956.846729000972 usercpu_time_millis_training 2996.9570920002297 usercpu_time_millis_training 2961.319258000003 usercpu_time_millis_training 2910.7206459957524 usercpu_time_millis_training 2906.6475849976996