5088579 1 Jan van Rijn 14 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) 3123715 axis 0 6947 categorical_features [] 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 [] 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 1062.105598199822 6953 cache_size 200 6953 class_weight null 6953 coef0 0.19767571062062905 6953 decision_function_shape null 6953 degree 3 6953 gamma 0.001183080582898074 6953 kernel "sigmoid" 6953 max_iter -1 6953 probability true 6953 random_state 30325 6953 shrinking true 6953 tol 0.004295498616420595 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 11111189 description https://api.openml.org/data/download/11111189/description.xml -1 11111188 predictions https://api.openml.org/data/download/11111188/predictions.arff area_under_roc_curve 0.9831752777777778 [1,0.970739,0.997125,0.994828,0.976744,0.995722,0.954208,0.991597,0.999389,0.9514] average_cost 0 f_measure 0.8330525490578459 [0.997506,0.78,0.955,0.897436,0.811083,0.927681,0.556122,0.88361,0.979798,0.542289] kappa 0.8150000000000001 kb_relative_information_score 1671.8883747151497 mean_absolute_error 0.047673784816827214 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8332446696150665 [0.995025,0.78,0.955,0.921053,0.817259,0.925373,0.567708,0.841629,0.989796,0.539604] predictive_accuracy 0.8334999999999999 prior_entropy 3.321928094887362 recall 0.8335 [1,0.78,0.955,0.875,0.805,0.93,0.545,0.93,0.97,0.545] relative_absolute_error 0.26485436009347635 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.14712239904553814 root_relative_squared_error 0.490407996818453 total_cost 0 area_under_roc_curve 0.9824166666666666 [1,0.983611,0.999167,0.998611,0.976944,1,0.929444,0.993056,1,0.943333] area_under_roc_curve 0.9834166666666667 [1,0.968333,0.998889,0.994722,0.962222,0.993889,0.963889,0.989444,0.999722,0.963056] area_under_roc_curve 0.9810277777777778 [1,0.973333,1,0.984167,0.982778,0.996389,0.923056,0.983611,1,0.966944] area_under_roc_curve 0.9896944444444444 [1,0.9825,0.998333,0.999722,0.992222,0.998056,0.973889,0.994167,0.998333,0.959722] area_under_roc_curve 0.98275 [1,0.968056,0.998056,0.984444,0.975833,0.993333,0.9625,0.994722,1,0.950556] area_under_roc_curve 0.9855555555555554 [1,0.969444,0.998611,0.997778,0.984722,0.997778,0.963611,0.9925,1,0.951111] area_under_roc_curve 0.9868888888888889 [1,0.98,0.994167,0.998889,0.985833,0.993333,0.973056,0.988056,1,0.955556] area_under_roc_curve 0.9841666666666667 [1,0.936944,0.994444,0.995833,0.979167,0.997778,0.968333,0.994722,0.998333,0.976111] area_under_roc_curve 0.9830555555555555 [1,0.977222,1,0.998611,0.983056,0.985278,0.958611,0.995833,1,0.931944] area_under_roc_curve 0.9790000000000001 [1,0.981111,0.990556,0.998056,0.961667,1,0.939167,0.99,0.996389,0.933056] 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 0.8038694422790533 [1,0.782609,0.95,0.888889,0.857143,1,0.358974,0.842105,1,0.358974] f_measure 0.8305987015840135 [1,0.8,0.95,0.871795,0.789474,0.9,0.619048,0.837209,0.974359,0.564103] f_measure 0.827720039231667 [1,0.75,1,0.820513,0.837209,0.857143,0.540541,0.871795,1,0.6] f_measure 0.8498786529092942 [1,0.789474,0.974359,0.952381,0.826087,0.923077,0.631579,0.842105,0.974359,0.585366] f_measure 0.8111649092136897 [1,0.702703,0.974359,0.85,0.769231,0.904762,0.540541,0.844444,0.97561,0.55] f_measure 0.8432621721453556 [1,0.820513,0.952381,0.894737,0.820513,0.926829,0.590909,0.952381,0.974359,0.5] f_measure 0.826426138011147 [1,0.769231,0.947368,0.9,0.789474,0.926829,0.604651,0.869565,1,0.457143] f_measure 0.8498632933856984 [1,0.761905,0.95,0.923077,0.810811,0.923077,0.634146,0.930233,0.95,0.615385] f_measure 0.8679135811039279 [1,0.810811,0.97561,0.97561,0.871795,0.947368,0.529412,0.930233,1,0.638298] f_measure 0.811333737864407 [0.97561,0.809524,0.878049,0.888889,0.722222,0.974359,0.486486,0.909091,0.947368,0.521739] kappa 0.7833333333333334 kappa 0.8111111111111111 kappa 0.8111111111111111 kappa 0.8333333333333333 kappa 0.7944444444444444 kappa 0.8277777777777777 kappa 0.8111111111111111 kappa 0.8333333333333333 kappa 0.8555555555555555 kappa 0.788888888888889 kb_relative_information_score 167.68327522257732 kb_relative_information_score 165.57494061187037 kb_relative_information_score 165.17330242921642 kb_relative_information_score 169.56856042835054 kb_relative_information_score 164.3117957011765 kb_relative_information_score 169.91472396274287 kb_relative_information_score 168.15769450038897 kb_relative_information_score 167.88433130684018 kb_relative_information_score 169.97340896010815 kb_relative_information_score 163.64634159187727 mean_absolute_error 0.04756761018273875 mean_absolute_error 0.04980038873771015 mean_absolute_error 0.049346737861180705 mean_absolute_error 0.045086938845514346 mean_absolute_error 0.04944520356101588 mean_absolute_error 0.04513569679939542 mean_absolute_error 0.04662441804408507 mean_absolute_error 0.04767507561993084 mean_absolute_error 0.04452627939960282 mean_absolute_error 0.05152949911709793 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.8086220504641557 [1,0.692308,0.95,1,0.818182,1,0.368421,0.888889,1,0.368421] precision 0.8330535330420914 [1,0.8,0.95,0.894737,0.833333,0.9,0.590909,0.782609,1,0.578947] precision 0.8275867913214797 [1,0.75,1,0.842105,0.782609,0.818182,0.588235,0.894737,1,0.6] precision 0.8547546021230231 [1,0.833333,1,0.909091,0.730769,0.947368,0.666667,0.888889,1,0.571429] precision 0.8118432176698431 [1,0.764706,1,0.85,0.789474,0.863636,0.588235,0.76,0.952381,0.55] precision 0.8455765360370623 [1,0.842105,0.909091,0.944444,0.842105,0.904762,0.541667,0.909091,1,0.5625] precision 0.8295350416174213 [1,0.789474,1,0.9,0.833333,0.904762,0.565217,0.769231,1,0.533333] precision 0.8524554294361805 [1,0.727273,0.95,0.947368,0.882353,0.947368,0.619048,0.869565,0.95,0.631579] precision 0.8749829603847641 [1,0.882353,0.952381,0.952381,0.894737,1,0.642857,0.869565,1,0.555556] precision 0.8219034641828759 [0.952381,0.772727,0.857143,1,0.8125,1,0.529412,0.833333,1,0.461538] predictive_accuracy 0.805 predictive_accuracy 0.83 predictive_accuracy 0.83 predictive_accuracy 0.85 predictive_accuracy 0.815 predictive_accuracy 0.845 predictive_accuracy 0.83 predictive_accuracy 0.85 predictive_accuracy 0.87 predictive_accuracy 0.81 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.805 [1,0.9,0.95,0.8,0.9,1,0.35,0.8,1,0.35] recall 0.83 [1,0.8,0.95,0.85,0.75,0.9,0.65,0.9,0.95,0.55] recall 0.83 [1,0.75,1,0.8,0.9,0.9,0.5,0.85,1,0.6] recall 0.85 [1,0.75,0.95,1,0.95,0.9,0.6,0.8,0.95,0.6] recall 0.815 [1,0.65,0.95,0.85,0.75,0.95,0.5,0.95,1,0.55] recall 0.845 [1,0.8,1,0.85,0.8,0.95,0.65,1,0.95,0.45] recall 0.83 [1,0.75,0.9,0.9,0.75,0.95,0.65,1,1,0.4] recall 0.85 [1,0.8,0.95,0.9,0.75,0.9,0.65,1,0.95,0.6] recall 0.87 [1,0.75,1,1,0.85,0.9,0.45,1,1,0.75] recall 0.81 [1,0.85,0.9,0.8,0.65,0.95,0.45,1,0.9,0.6] relative_absolute_error 0.2642645010152156 relative_absolute_error 0.27666882632061224 relative_absolute_error 0.27414854367322644 relative_absolute_error 0.25048299358619114 relative_absolute_error 0.2746955753389774 relative_absolute_error 0.25075387110775266 relative_absolute_error 0.2590245446893618 relative_absolute_error 0.2648615312218383 relative_absolute_error 0.2473682188866826 relative_absolute_error 0.28627499509498877 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.14618464563488148 root_mean_squared_error 0.15304111300821974 root_mean_squared_error 0.14967471538678812 root_mean_squared_error 0.14112130314853702 root_mean_squared_error 0.15586177593978973 root_mean_squared_error 0.13997431455756135 root_mean_squared_error 0.14354338320565535 root_mean_squared_error 0.14645141859329 root_mean_squared_error 0.13840926330984196 root_mean_squared_error 0.15570863982273994 root_relative_squared_error 0.48728215211627185 root_relative_squared_error 0.5101370433607327 root_relative_squared_error 0.4989157179559606 root_relative_squared_error 0.47040434382845703 root_relative_squared_error 0.5195392531326327 root_relative_squared_error 0.4665810485252047 root_relative_squared_error 0.47847794401885146 root_relative_squared_error 0.4881713953109669 root_relative_squared_error 0.46136421103280684 root_relative_squared_error 0.5190287994091335 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 10125.43353000001 usercpu_time_millis 10130.978348000099 usercpu_time_millis 10179.646751999826 usercpu_time_millis 10141.892450999876 usercpu_time_millis 10112.018665999813 usercpu_time_millis 10060.076498999933 usercpu_time_millis 10077.346508000119 usercpu_time_millis 9986.452490999682 usercpu_time_millis 10007.998326000234 usercpu_time_millis 7889.219781000065 usercpu_time_millis_testing 106.39585199987778 usercpu_time_millis_testing 109.13060699999733 usercpu_time_millis_testing 111.05746499993074 usercpu_time_millis_testing 110.2677029998631 usercpu_time_millis_testing 109.54860499987262 usercpu_time_millis_testing 109.18474400000377 usercpu_time_millis_testing 109.22359100004542 usercpu_time_millis_testing 108.94961099984357 usercpu_time_millis_testing 110.31506400013313 usercpu_time_millis_testing 89.6131009999408 usercpu_time_millis_training 10019.037678000132 usercpu_time_millis_training 10021.847741000101 usercpu_time_millis_training 10068.589286999895 usercpu_time_millis_training 10031.624748000013 usercpu_time_millis_training 10002.47006099994 usercpu_time_millis_training 9950.89175499993 usercpu_time_millis_training 9968.122917000073 usercpu_time_millis_training 9877.502879999838 usercpu_time_millis_training 9897.6832620001 usercpu_time_millis_training 7799.6066800001245