8829603 1 Jan van Rijn 14 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) 6804653 axis 0 7660 categorical_features [] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "mean" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 categorical_features [] 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 608.9010520206724 7708 cache_size 200 7708 class_weight null 7708 coef0 0.8007121289688999 7708 decision_function_shape null 7708 degree 5 7708 gamma 0.47315626286706564 7708 kernel "poly" 7708 max_iter -1 7708 probability true 7708 random_state 64737 7708 shrinking false 7708 tol 0.001461200188813558 7708 verbose false 7708 openml-pimp openml-python Sklearn_0.18.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18574994 description https://api.openml.org/data/download/18574994/description.xml -1 18574995 predictions https://api.openml.org/data/download/18574995/predictions.arff area_under_roc_curve 0.9778725000000001 [0.999994,0.964397,0.992469,0.989267,0.958397,0.993464,0.949328,0.991992,0.991047,0.948369] average_cost 0 f_measure 0.8305069062499346 [0.992481,0.795062,0.964467,0.884422,0.782842,0.910891,0.574939,0.882927,0.958435,0.558603] kappa 0.8116666666666666 kb_relative_information_score 1575.0798664956744 mean_absolute_error 0.06135841188232091 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8316637606989696 [0.994975,0.785366,0.979381,0.888889,0.843931,0.901961,0.565217,0.861905,0.937799,0.557214] predictive_accuracy 0.8305 prior_entropy 3.321928094887362 recall 0.8305 [0.99,0.805,0.95,0.88,0.73,0.92,0.585,0.905,0.98,0.56] relative_absolute_error 0.3408800660128835 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.15950716947553434 root_relative_squared_error 0.5316905649184397 total_cost 0 area_under_roc_curve 0.9854722222222223 [1,0.971111,1,0.993333,0.989167,1,0.941667,0.992778,1,0.966667] area_under_roc_curve 0.9817500000000002 [1,0.950278,0.994722,0.993056,0.989444,0.991111,0.958056,0.991667,0.990278,0.958889] area_under_roc_curve 0.9780555555555556 [1,0.954167,1,0.986944,0.987778,0.996389,0.920278,0.993889,1,0.941111] area_under_roc_curve 0.9843611111111111 [1,0.979722,0.999722,0.993056,0.974167,0.993333,0.979167,0.992222,0.971667,0.960556] area_under_roc_curve 0.9752500000000001 [1,0.940833,0.997222,0.978056,0.955556,0.994444,0.946667,0.993611,1,0.946111] area_under_roc_curve 0.9746666666666667 [1,0.938333,0.998611,0.963611,0.953056,0.996667,0.959444,0.990833,1,0.946111] area_under_roc_curve 0.9799722222222222 [1,0.985,0.961944,0.997778,0.972778,0.989722,0.960556,0.993333,1,0.938611] area_under_roc_curve 0.982 [1,0.983889,0.997222,1,0.932778,0.995556,0.9525,0.989722,0.998611,0.969722] area_under_roc_curve 0.9795 [1,0.956667,1,0.996667,0.986667,0.978611,0.949444,0.996389,1,0.930556] area_under_roc_curve 0.9613333333333333 [1,0.981944,0.979722,0.996111,0.855556,0.997222,0.927778,0.987778,0.951944,0.935278] 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 0.8396999008337876 [0.974359,0.765957,0.97561,0.918919,0.85,0.974359,0.619048,0.810811,0.952381,0.555556] f_measure 0.8506660787662073 [1,0.809524,0.947368,0.918919,0.871795,0.9,0.634146,0.904762,0.904762,0.615385] f_measure 0.815191694322129 [1,0.717949,1,0.864865,0.857143,0.904762,0.478261,0.871795,1,0.457143] f_measure 0.849118963490789 [0.974359,0.789474,0.974359,0.869565,0.820513,0.871795,0.731707,0.923077,0.904762,0.631579] f_measure 0.7811634407526578 [0.97561,0.7,0.947368,0.780488,0.666667,0.904762,0.473684,0.863636,0.97561,0.52381] f_measure 0.8304276090476346 [1,0.820513,0.95,0.789474,0.722222,0.904762,0.619048,0.926829,1,0.571429] f_measure 0.8353366564855653 [1,0.8,0.947368,0.9,0.810811,0.871795,0.634146,0.863636,0.97561,0.55] f_measure 0.8693404242313099 [1,0.9,0.95,0.95,0.736842,0.9,0.666667,0.9,0.97561,0.714286] f_measure 0.8480742312857552 [1,0.842105,1,0.97561,0.823529,0.926829,0.470588,0.888889,1,0.553191] f_measure 0.7806543541540705 [1,0.809524,0.95,0.878049,0.628571,0.95,0.418605,0.871795,0.9,0.4] kappa 0.8222222222222222 kappa 0.8333333333333333 kappa 0.7944444444444444 kappa 0.8333333333333333 kappa 0.7611111111111112 kappa 0.8111111111111111 kappa 0.8166666666666667 kappa 0.8555555555555555 kappa 0.8333333333333333 kappa 0.7555555555555555 kb_relative_information_score 157.84459387029017 kb_relative_information_score 156.44437829969863 kb_relative_information_score 155.32470880586916 kb_relative_information_score 159.39946990534543 kb_relative_information_score 153.05331844915884 kb_relative_information_score 157.2167495038507 kb_relative_information_score 159.86855126165568 kb_relative_information_score 160.46173917422828 kb_relative_information_score 161.93409591232285 kb_relative_information_score 153.53226131325212 mean_absolute_error 0.06290410152995386 mean_absolute_error 0.0641815025889848 mean_absolute_error 0.06376575019064858 mean_absolute_error 0.05970112341030661 mean_absolute_error 0.06485459565628048 mean_absolute_error 0.059494198754139305 mean_absolute_error 0.05788688479949821 mean_absolute_error 0.060364446062887704 mean_absolute_error 0.05703229633594165 mean_absolute_error 0.06339921949456792 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 0.847640056022409 [1,0.666667,0.952381,1,0.85,1,0.590909,0.882353,0.909091,0.625] precision 0.8545363408521303 [1,0.772727,1,1,0.894737,0.9,0.619048,0.863636,0.863636,0.631579] precision 0.8210983856185095 [1,0.736842,1,0.941176,0.818182,0.863636,0.423077,0.894737,1,0.533333] precision 0.8531363373468638 [1,0.833333,1,0.769231,0.842105,0.894737,0.714286,0.947368,0.863636,0.666667] precision 0.7868123543123544 [0.952381,0.7,1,0.761905,0.846154,0.863636,0.5,0.791667,0.952381,0.5] precision 0.8342700501253133 [1,0.842105,0.95,0.833333,0.8125,0.863636,0.590909,0.904762,1,0.545455] precision 0.8390185021376972 [1,0.8,1,0.9,0.882353,0.894737,0.619048,0.791667,0.952381,0.55] precision 0.8696187438292701 [1,0.9,0.95,0.95,0.777778,0.9,0.684211,0.9,0.952381,0.681818] precision 0.8598941798941797 [1,0.888889,1,0.952381,1,0.904762,0.571429,0.8,1,0.481481] precision 0.7849244653134814 [1,0.772727,0.95,0.857143,0.733333,0.95,0.391304,0.894737,0.9,0.4] predictive_accuracy 0.84 predictive_accuracy 0.85 predictive_accuracy 0.815 predictive_accuracy 0.85 predictive_accuracy 0.785 predictive_accuracy 0.83 predictive_accuracy 0.835 predictive_accuracy 0.87 predictive_accuracy 0.85 predictive_accuracy 0.78 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 0.84 [0.95,0.9,1,0.85,0.85,0.95,0.65,0.75,1,0.5] recall 0.85 [1,0.85,0.9,0.85,0.85,0.9,0.65,0.95,0.95,0.6] recall 0.815 [1,0.7,1,0.8,0.9,0.95,0.55,0.85,1,0.4] recall 0.85 [0.95,0.75,0.95,1,0.8,0.85,0.75,0.9,0.95,0.6] recall 0.785 [1,0.7,0.9,0.8,0.55,0.95,0.45,0.95,1,0.55] recall 0.83 [1,0.8,0.95,0.75,0.65,0.95,0.65,0.95,1,0.6] recall 0.835 [1,0.8,0.9,0.9,0.75,0.85,0.65,0.95,1,0.55] recall 0.87 [1,0.9,0.95,0.95,0.7,0.9,0.65,0.9,1,0.75] recall 0.85 [1,0.8,1,1,0.7,0.95,0.4,1,1,0.65] recall 0.78 [1,0.85,0.95,0.9,0.55,0.95,0.45,0.85,0.9,0.4] relative_absolute_error 0.34946723072196634 relative_absolute_error 0.3565639032721382 relative_absolute_error 0.35425416772582585 relative_absolute_error 0.3316729078350371 relative_absolute_error 0.36030330920155856 relative_absolute_error 0.3305233264118854 relative_absolute_error 0.3215938044416571 relative_absolute_error 0.33535803368270983 relative_absolute_error 0.31684609075523174 relative_absolute_error 0.3522178860809333 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 0.15736512079204393 root_mean_squared_error 0.16148423920567864 root_mean_squared_error 0.16177079878020037 root_mean_squared_error 0.15386282568656395 root_mean_squared_error 0.17097290708615137 root_mean_squared_error 0.159696915007633 root_mean_squared_error 0.15336684334484424 root_mean_squared_error 0.15439884073421553 root_mean_squared_error 0.15167576868596147 root_mean_squared_error 0.16923386433112397 root_relative_squared_error 0.5245504026401467 root_relative_squared_error 0.5382807973522624 root_relative_squared_error 0.5392359959340015 root_relative_squared_error 0.5128760856218801 root_relative_squared_error 0.5699096902871716 root_relative_squared_error 0.5323230500254437 root_relative_squared_error 0.5112228111494811 root_relative_squared_error 0.5146628024473854 root_relative_squared_error 0.5055858956198719 root_relative_squared_error 0.5641128811037469 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 3069.246258000021 usercpu_time_millis 3138.313786999788 usercpu_time_millis 2980.1743039997746 usercpu_time_millis 3033.2542300002387 usercpu_time_millis 3000.07051700004 usercpu_time_millis 3008.0996399997275 usercpu_time_millis 3007.721195999693 usercpu_time_millis 2986.7380390001017 usercpu_time_millis 2969.870094000271 usercpu_time_millis 3150.119411000105 usercpu_time_millis_testing 38.053135000154725 usercpu_time_millis_testing 42.27645599985408 usercpu_time_millis_testing 38.176365999788686 usercpu_time_millis_testing 38.16938699992534 usercpu_time_millis_testing 38.38801900019462 usercpu_time_millis_testing 38.56239800006733 usercpu_time_millis_testing 38.03986100001566 usercpu_time_millis_testing 37.95268700014276 usercpu_time_millis_testing 38.195259000076476 usercpu_time_millis_testing 38.1520040000396 usercpu_time_millis_training 3031.1931229998663 usercpu_time_millis_training 3096.037330999934 usercpu_time_millis_training 2941.997937999986 usercpu_time_millis_training 2995.0848430003134 usercpu_time_millis_training 2961.6824979998455 usercpu_time_millis_training 2969.53724199966 usercpu_time_millis_training 2969.6813349996773 usercpu_time_millis_training 2948.785351999959 usercpu_time_millis_training 2931.6748350001944 usercpu_time_millis_training 3111.9674070000656