10372766 8323 Heinrich Peters 14 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8228109 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 0.8002116789865572 13389 cache_size 200 13389 class_weight null 13389 coef0 0.346790741622226 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.056654090108587324 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 15930 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21667237 description https://api.openml.org/data/download/21667237/description.xml -1 21667238 predictions https://api.openml.org/data/download/21667238/predictions.arff area_under_roc_curve 0.8602777777777777 [0.9575,0.837778,0.941389,0.854444,0.881667,0.949722,0.680278,0.873611,0.971667,0.654722] average_cost 0 f_measure 0.7503564240113757 [0.955614,0.758242,0.929134,0.791209,0.59396,0.843537,0.448753,0.810667,0.964286,0.408163] kappa 0.7205555555555556 kb_relative_information_score 0.7369919911240013 mean_absolute_error 0.05030000000000044 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7761729185087012 [1,0.841463,0.977901,0.878049,0.44697,0.771784,0.503106,0.868571,0.984375,0.48951] predictive_accuracy 0.7484999999999999 prior_entropy 3.3219280948872383 recall 0.7485 [0.915,0.69,0.885,0.72,0.885,0.93,0.405,0.76,0.945,0.35] relative_absolute_error 0.2794444444444383 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.22427661492005901 root_relative_squared_error 0.7475887164001853 total_cost 0 area_under_roc_curve 0.8555555555555554 [0.95,0.908333,0.875,0.872222,0.872222,0.952778,0.580556,0.869444,0.997222,0.677778] area_under_roc_curve 0.8638888888888888 [0.975,0.769444,0.975,0.938889,0.866667,0.944444,0.675,0.844444,0.95,0.7] area_under_roc_curve 0.85 [0.925,0.838889,0.95,0.769444,0.927778,0.941667,0.719444,0.844444,0.975,0.608333] area_under_roc_curve 0.8666666666666668 [1,0.794444,0.9,0.866667,0.911111,0.955556,0.758333,0.819444,0.975,0.686111] area_under_roc_curve 0.8583333333333333 [0.975,0.788889,0.95,0.844444,0.905556,0.986111,0.675,0.858333,1,0.6] area_under_roc_curve 0.8666666666666667 [0.95,0.925,0.997222,0.75,0.883333,0.952778,0.630556,0.897222,1,0.680556] area_under_roc_curve 0.8472222222222223 [0.9,0.819444,0.95,0.891667,0.816667,0.936111,0.730556,0.866667,0.972222,0.588889] area_under_roc_curve 0.8777777777777778 [0.975,0.9,0.972222,0.794444,0.861111,0.919444,0.802778,0.894444,0.95,0.708333] area_under_roc_curve 0.8861111111111112 [0.975,0.794444,0.975,0.966667,0.927778,0.941667,0.611111,0.947222,1,0.722222] area_under_roc_curve 0.8305555555555556 [0.95,0.838889,0.869444,0.85,0.844444,0.966667,0.619444,0.894444,0.897222,0.575] 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 0.7333125308870003 [0.947368,0.790698,0.857143,0.833333,0.607143,0.808511,0.258065,0.810811,0.97561,0.444444] f_measure 0.7589997210868356 [0.974359,0.666667,0.974359,0.857143,0.586207,0.9,0.432432,0.777778,0.947368,0.473684] f_measure 0.7255987855035312 [0.918919,0.736842,0.947368,0.666667,0.678571,0.745098,0.487805,0.777778,0.974359,0.322581] f_measure 0.7619894305027978 [1,0.705882,0.888889,0.789474,0.612903,0.826087,0.594595,0.742857,0.974359,0.484848] f_measure 0.7379984791976031 [0.974359,0.666667,0.947368,0.777778,0.666667,0.888889,0.432432,0.731707,1,0.294118] f_measure 0.7583363647968058 [0.947368,0.918919,0.97561,0.666667,0.580645,0.808511,0.363636,0.864865,1,0.457143] f_measure 0.7287413570950904 [0.888889,0.742857,0.947368,0.820513,0.484848,0.837209,0.540541,0.789474,0.95,0.285714] f_measure 0.7895497494610233 [0.974359,0.888889,0.95,0.705882,0.566667,0.871795,0.634146,0.842105,0.947368,0.514286] f_measure 0.787239267189052 [0.974359,0.705882,0.974359,0.904762,0.678571,0.878049,0.333333,0.923077,1,0.5] f_measure 0.7012182863576051 [0.947368,0.736842,0.810811,0.823529,0.515152,0.904762,0.324324,0.842105,0.864865,0.242424] kappa 0.7111111111111111 kappa 0.7277777777777777 kappa 0.7 kappa 0.7333333333333334 kappa 0.7166666666666667 kappa 0.7333333333333334 kappa 0.6944444444444444 kappa 0.7555555555555555 kappa 0.7722222222222223 kappa 0.6611111111111111 kb_relative_information_score 0.7281030524542276 kb_relative_information_score 0.7437894148126378 kb_relative_information_score 0.7176454775486207 kb_relative_information_score 0.7490182022654411 kb_relative_information_score 0.7333318399070311 kb_relative_information_score 0.7490182022654411 kb_relative_information_score 0.7124166900958173 kb_relative_information_score 0.7699333520766547 kb_relative_information_score 0.7856197144350645 kb_relative_information_score 0.6810439653789969 mean_absolute_error 0.05199999999999998 mean_absolute_error 0.04899999999999999 mean_absolute_error 0.053999999999999965 mean_absolute_error 0.04799999999999999 mean_absolute_error 0.050999999999999976 mean_absolute_error 0.04799999999999999 mean_absolute_error 0.054999999999999966 mean_absolute_error 0.044000000000000004 mean_absolute_error 0.041000000000000016 mean_absolute_error 0.06099999999999994 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 0.7550926617902322 [1,0.73913,1,0.9375,0.472222,0.703704,0.363636,0.882353,0.952381,0.5] precision 0.7857292320682413 [1,0.846154,1,0.818182,0.447368,0.9,0.470588,0.875,1,0.5] precision 0.7570348558251784 [1,0.777778,1,0.846154,0.527778,0.612903,0.47619,0.875,1,0.454545] precision 0.8002736479207069 [1,0.857143,1,0.833333,0.452381,0.730769,0.647059,0.866667,1,0.615385] precision 0.749642857142857 [1,0.75,1,0.875,0.529412,0.8,0.470588,0.714286,1,0.357143] precision 0.8020704350116113 [1,1,0.952381,1,0.428571,0.703704,0.461538,0.941176,1,0.533333] precision 0.7710775339884239 [1,0.866667,1,0.842105,0.347826,0.782609,0.588235,0.833333,0.95,0.5] precision 0.8234816207184628 [1,1,0.95,0.857143,0.425,0.894737,0.619048,0.888889,1,0.6] precision 0.8053068276752486 [1,0.857143,1,0.863636,0.527778,0.857143,0.5,0.947368,1,0.5] precision 0.7384031143621936 [1,0.777778,0.882353,1,0.369565,0.863636,0.352941,0.888889,0.941176,0.307692] predictive_accuracy 0.74 predictive_accuracy 0.755 predictive_accuracy 0.73 predictive_accuracy 0.76 predictive_accuracy 0.745 predictive_accuracy 0.76 predictive_accuracy 0.725 predictive_accuracy 0.78 predictive_accuracy 0.795 predictive_accuracy 0.695 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 recall 0.74 [0.9,0.85,0.75,0.75,0.85,0.95,0.2,0.75,1,0.4] recall 0.755 [0.95,0.55,0.95,0.9,0.85,0.9,0.4,0.7,0.9,0.45] recall 0.73 [0.85,0.7,0.9,0.55,0.95,0.95,0.5,0.7,0.95,0.25] recall 0.76 [1,0.6,0.8,0.75,0.95,0.95,0.55,0.65,0.95,0.4] recall 0.745 [0.95,0.6,0.9,0.7,0.9,1,0.4,0.75,1,0.25] recall 0.76 [0.9,0.85,1,0.5,0.9,0.95,0.3,0.8,1,0.4] recall 0.725 [0.8,0.65,0.9,0.8,0.8,0.9,0.5,0.75,0.95,0.2] recall 0.78 [0.95,0.8,0.95,0.6,0.85,0.85,0.65,0.8,0.9,0.45] recall 0.795 [0.95,0.6,0.95,0.95,0.95,0.9,0.25,0.9,1,0.5] recall 0.695 [0.9,0.7,0.75,0.7,0.85,0.95,0.3,0.8,0.8,0.2] relative_absolute_error 0.2888888888888891 relative_absolute_error 0.2722222222222225 relative_absolute_error 0.30000000000000016 relative_absolute_error 0.2666666666666669 relative_absolute_error 0.28333333333333355 relative_absolute_error 0.2666666666666669 relative_absolute_error 0.3055555555555557 relative_absolute_error 0.24444444444444474 relative_absolute_error 0.2277777777777781 relative_absolute_error 0.3388888888888889 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 0.22803508501982755 root_mean_squared_error 0.22135943621178653 root_mean_squared_error 0.23237900077244494 root_mean_squared_error 0.21908902300206642 root_mean_squared_error 0.22583179581272425 root_mean_squared_error 0.21908902300206642 root_mean_squared_error 0.2345207879911714 root_mean_squared_error 0.20976176963403032 root_mean_squared_error 0.20248456731316591 root_mean_squared_error 0.24698178070456928 root_relative_squared_error 0.7601169500660923 root_relative_squared_error 0.7378647873726222 root_relative_squared_error 0.7745966692414835 root_relative_squared_error 0.7302967433402218 root_relative_squared_error 0.7527726527090813 root_relative_squared_error 0.7302967433402218 root_relative_squared_error 0.7817359599705718 root_relative_squared_error 0.6992058987801015 root_relative_squared_error 0.6749485577105534 root_relative_squared_error 0.8232726023485647 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 1263.6294509975414 usercpu_time_millis 1266.7998969991459 usercpu_time_millis 1275.514666998788 usercpu_time_millis 1292.635279995011 usercpu_time_millis 1280.1878390018828 usercpu_time_millis 1260.5264439989696 usercpu_time_millis 1257.765742000629 usercpu_time_millis 1270.3224329998193 usercpu_time_millis 1268.2209070007957 usercpu_time_millis 1219.1049729990482 usercpu_time_millis_testing 69.98219099841663 usercpu_time_millis_testing 70.28787799936254 usercpu_time_millis_testing 70.80342400149675 usercpu_time_millis_testing 71.80930299728061 usercpu_time_millis_testing 70.66227500035893 usercpu_time_millis_testing 70.30293999923742 usercpu_time_millis_testing 70.31923099930282 usercpu_time_millis_testing 70.53171399820712 usercpu_time_millis_testing 70.47189399963827 usercpu_time_millis_testing 65.81347799874493 usercpu_time_millis_training 1193.6472599991248 usercpu_time_millis_training 1196.5120189997833 usercpu_time_millis_training 1204.7112429972913 usercpu_time_millis_training 1220.8259769977303 usercpu_time_millis_training 1209.525564001524 usercpu_time_millis_training 1190.2235039997322 usercpu_time_millis_training 1187.4465110013261 usercpu_time_millis_training 1199.7907190016122 usercpu_time_millis_training 1197.7490130011574 usercpu_time_millis_training 1153.2914950003033 wall_clock_time_millis 1263.6923789978027 wall_clock_time_millis 1267.0371532440186 wall_clock_time_millis 1275.7809162139893 wall_clock_time_millis 1292.707920074463 wall_clock_time_millis 1280.7130813598633 wall_clock_time_millis 1260.5552673339844 wall_clock_time_millis 1257.8046321868896 wall_clock_time_millis 1270.3745365142822 wall_clock_time_millis 1268.4681415557861 wall_clock_time_millis 1219.1591262817383 wall_clock_time_millis_testing 69.9923038482666 wall_clock_time_millis_testing 70.29867172241211 wall_clock_time_millis_testing 70.8165168762207 wall_clock_time_millis_testing 71.81811332702637 wall_clock_time_millis_testing 70.67656517028809 wall_clock_time_millis_testing 70.31059265136719 wall_clock_time_millis_testing 70.32918930053711 wall_clock_time_millis_testing 70.5406665802002 wall_clock_time_millis_testing 70.48153877258301 wall_clock_time_millis_testing 65.83547592163086 wall_clock_time_millis_training 1193.7000751495361 wall_clock_time_millis_training 1196.7384815216064 wall_clock_time_millis_training 1204.9643993377686 wall_clock_time_millis_training 1220.8898067474365 wall_clock_time_millis_training 1210.0365161895752 wall_clock_time_millis_training 1190.2446746826172 wall_clock_time_millis_training 1187.4754428863525 wall_clock_time_millis_training 1199.833869934082 wall_clock_time_millis_training 1197.9866027832031 wall_clock_time_millis_training 1153.3236503601074