10327047 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) 8182715 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 0.3651026233359442 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.11464949522540291 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.01772668184339637 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 11585 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 21575780 description https://api.openml.org/data/download/21575780/description.xml -1 21575781 predictions https://api.openml.org/data/download/21575781/predictions.arff area_under_roc_curve 0.716111111111111 [0.9275,0.650556,0.805833,0.624722,0.678056,0.7025,0.591944,0.77,0.819722,0.590278] average_cost 0 f_measure 0.5155676190343076 [0.921833,0.332046,0.365473,0.398406,0.516129,0.576512,0.293907,0.685535,0.778116,0.287719] kappa 0.43222222222222223 kb_relative_information_score 0.46561792232350513 mean_absolute_error 0.10219999999999847 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7303388991144423 [1,0.27044,0.223847,0.980392,0.911392,1,0.518987,0.923729,0.992248,0.482353] predictive_accuracy 0.489 prior_entropy 3.3219280948872383 recall 0.489 [0.855,0.43,0.995,0.25,0.36,0.405,0.205,0.545,0.64,0.205] relative_absolute_error 0.5677777777777518 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.3196873472629132 root_relative_squared_error 1.065624490876361 total_cost 0 area_under_roc_curve 0.7166666666666667 [0.9,0.702778,0.786111,0.625,0.75,0.725,0.536111,0.75,0.75,0.641667] area_under_roc_curve 0.7694444444444444 [0.975,0.836111,0.947222,0.65,0.7,0.675,0.658333,0.769444,0.9,0.583333] area_under_roc_curve 0.6972222222222222 [0.9,0.569444,0.775,0.6,0.622222,0.65,0.622222,0.725,0.9,0.608333] area_under_roc_curve 0.713888888888889 [0.875,0.647222,0.788889,0.65,0.747222,0.725,0.547222,0.775,0.797222,0.586111] area_under_roc_curve 0.6916666666666665 [0.95,0.619444,0.75,0.525,0.625,0.725,0.538889,0.822222,0.75,0.611111] area_under_roc_curve 0.7194444444444443 [0.925,0.708333,0.838889,0.675,0.697222,0.625,0.563889,0.772222,0.85,0.538889] area_under_roc_curve 0.7277777777777777 [0.95,0.638889,0.780556,0.725,0.672222,0.625,0.644444,0.772222,0.875,0.594444] area_under_roc_curve 0.7083333333333333 [0.95,0.608333,0.775,0.65,0.647222,0.75,0.688889,0.744444,0.7,0.569444] area_under_roc_curve 0.7111111111111111 [0.925,0.647222,0.805556,0.525,0.65,0.725,0.547222,0.775,0.875,0.636111] area_under_roc_curve 0.7055555555555556 [0.925,0.527778,0.811111,0.622222,0.669444,0.8,0.572222,0.794444,0.8,0.533333] 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 0.5238932052431685 [0.888889,0.425532,0.34188,0.4,0.666667,0.62069,0.148148,0.666667,0.666667,0.413793] f_measure 0.5877241566138918 [0.974359,0.426966,0.677966,0.461538,0.571429,0.518519,0.424242,0.666667,0.888889,0.266667] f_measure 0.48379513768329624 [0.888889,0.222222,0.330579,0.333333,0.384615,0.461538,0.384615,0.62069,0.888889,0.322581] f_measure 0.5156510641369447 [0.857143,0.340426,0.344828,0.461538,0.645161,0.62069,0.173913,0.709677,0.727273,0.275862] f_measure 0.46138648396788684 [0.947368,0.324324,0.307692,0.095238,0.4,0.62069,0.153846,0.764706,0.666667,0.333333] f_measure 0.5053653397738446 [0.918919,0.369231,0.408163,0.518519,0.551724,0.4,0.222222,0.6875,0.823529,0.153846] f_measure 0.5417588522842648 [0.947368,0.32,0.348624,0.62069,0.5,0.4,0.428571,0.6875,0.857143,0.307692] f_measure 0.5079708004356738 [0.947368,0.292683,0.330579,0.461538,0.444444,0.666667,0.5,0.625,0.571429,0.24] f_measure 0.49036410623579685 [0.918919,0.315789,0.363636,0.095238,0.461538,0.62069,0.173913,0.709677,0.857143,0.387097] f_measure 0.4890696908039708 [0.918919,0.15,0.37037,0.384615,0.482759,0.75,0.235294,0.705882,0.75,0.142857] kappa 0.43333333333333335 kappa 0.5388888888888889 kappa 0.39444444444444443 kappa 0.42777777777777776 kappa 0.3833333333333333 kappa 0.4388888888888889 kappa 0.4555555555555556 kappa 0.41666666666666663 kappa 0.4222222222222222 kappa 0.4111111111111111 kb_relative_information_score 0.466663679814058 kb_relative_information_score 0.5660106414173225 kb_relative_information_score 0.4300621676444343 kb_relative_information_score 0.4614348923612546 kb_relative_information_score 0.4196045927388275 kb_relative_information_score 0.4718924672668614 kb_relative_information_score 0.48757882962527155 kb_relative_information_score 0.45097731745564784 kb_relative_information_score 0.45620610490845126 kb_relative_information_score 0.4457485300028444 mean_absolute_error 0.1019999999999998 mean_absolute_error 0.08299999999999987 mean_absolute_error 0.10899999999999978 mean_absolute_error 0.1029999999999998 mean_absolute_error 0.11099999999999977 mean_absolute_error 0.1009999999999998 mean_absolute_error 0.09799999999999981 mean_absolute_error 0.10499999999999979 mean_absolute_error 0.10399999999999979 mean_absolute_error 0.10599999999999979 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 0.7528936889761632 [1,0.37037,0.206186,1,1,1,0.285714,1,1,0.666667] precision 0.7572798216276476 [1,0.275362,0.512821,1,1,1,0.538462,0.846154,1,0.4] precision 0.7519231923192321 [1,0.2,0.19802,1,0.833333,1,0.833333,1,1,0.454545] precision 0.7447908572908573 [1,0.296296,0.208333,1,0.909091,1,0.666667,1,0.923077,0.444444] precision 0.7296664120193532 [1,0.352941,0.181818,1,1,1,0.333333,0.928571,1,0.5] precision 0.709053724053724 [1,0.266667,0.25641,1,0.888889,1,0.428571,0.916667,1,0.333333] precision 0.7688483146067416 [1,0.266667,0.213483,1,0.875,1,0.75,0.916667,1,0.666667] precision 0.744087694483734 [1,0.285714,0.19802,1,0.857143,1,0.666667,0.833333,1,0.6] precision 0.7677586677586676 [1,0.243243,0.222222,1,1,1,0.666667,1,1,0.545455] precision 0.6381240981240981 [1,0.15,0.227273,0.833333,0.777778,1,0.285714,0.857143,1,0.25] predictive_accuracy 0.49 predictive_accuracy 0.585 predictive_accuracy 0.455 predictive_accuracy 0.485 predictive_accuracy 0.445 predictive_accuracy 0.495 predictive_accuracy 0.51 predictive_accuracy 0.475 predictive_accuracy 0.48 predictive_accuracy 0.47 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 0.49 [0.8,0.5,1,0.25,0.5,0.45,0.1,0.5,0.5,0.3] recall 0.585 [0.95,0.95,1,0.3,0.4,0.35,0.35,0.55,0.8,0.2] recall 0.455 [0.8,0.25,1,0.2,0.25,0.3,0.25,0.45,0.8,0.25] recall 0.485 [0.75,0.4,1,0.3,0.5,0.45,0.1,0.55,0.6,0.2] recall 0.445 [0.9,0.3,1,0.05,0.25,0.45,0.1,0.65,0.5,0.25] recall 0.495 [0.85,0.6,1,0.35,0.4,0.25,0.15,0.55,0.7,0.1] recall 0.51 [0.9,0.4,0.95,0.45,0.35,0.25,0.3,0.55,0.75,0.2] recall 0.475 [0.9,0.3,1,0.3,0.3,0.5,0.4,0.5,0.4,0.15] recall 0.48 [0.85,0.45,1,0.05,0.3,0.45,0.1,0.55,0.75,0.3] recall 0.47 [0.85,0.15,1,0.25,0.35,0.6,0.2,0.6,0.6,0.1] relative_absolute_error 0.5666666666666661 relative_absolute_error 0.46111111111111086 relative_absolute_error 0.605555555555555 relative_absolute_error 0.5722222222222217 relative_absolute_error 0.616666666666666 relative_absolute_error 0.5611111111111107 relative_absolute_error 0.544444444444444 relative_absolute_error 0.5833333333333328 relative_absolute_error 0.5777777777777773 relative_absolute_error 0.5888888888888884 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 0.3193743884534259 root_mean_squared_error 0.28809720581775844 root_mean_squared_error 0.33015148038438324 root_mean_squared_error 0.32093613071762395 root_mean_squared_error 0.3331666249791533 root_mean_squared_error 0.31780497164141375 root_mean_squared_error 0.31304951684997023 root_mean_squared_error 0.3240370349203927 root_mean_squared_error 0.32249030993194167 root_mean_squared_error 0.3255764119219938 root_relative_squared_error 1.0645812948447537 root_relative_squared_error 0.9603240193925286 root_relative_squared_error 1.1005049346146116 root_relative_squared_error 1.0697871023920802 root_relative_squared_error 1.1105554165971783 root_relative_squared_error 1.0593499054713797 root_relative_squared_error 1.0434983894999013 root_relative_squared_error 1.080123449734643 root_relative_squared_error 1.0749676997731397 root_relative_squared_error 1.085254706406647 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 754.8678260063753 usercpu_time_millis 763.6084449986811 usercpu_time_millis 755.9937480036751 usercpu_time_millis 751.42460900679 usercpu_time_millis 761.130492996017 usercpu_time_millis 768.0720820062561 usercpu_time_millis 753.9735640020808 usercpu_time_millis 765.159886002948 usercpu_time_millis 770.2113650084357 usercpu_time_millis 760.4600390041014 usercpu_time_millis_testing 46.78927900386043 usercpu_time_millis_testing 44.61338099645218 usercpu_time_millis_testing 45.193766003649216 usercpu_time_millis_testing 45.725765005045105 usercpu_time_millis_testing 46.60645699914312 usercpu_time_millis_testing 44.738702999893576 usercpu_time_millis_testing 45.04771000210894 usercpu_time_millis_testing 50.36078600096516 usercpu_time_millis_testing 45.920873002614826 usercpu_time_millis_testing 45.983253003214486 usercpu_time_millis_training 708.0785470025148 usercpu_time_millis_training 718.9950640022289 usercpu_time_millis_training 710.7999820000259 usercpu_time_millis_training 705.6988440017449 usercpu_time_millis_training 714.5240359968739 usercpu_time_millis_training 723.3333790063625 usercpu_time_millis_training 708.9258539999719 usercpu_time_millis_training 714.7991000019829 usercpu_time_millis_training 724.2904920058209 usercpu_time_millis_training 714.4767860008869 wall_clock_time_millis 755.0375461578369 wall_clock_time_millis 811.6903305053711 wall_clock_time_millis 756.0760974884033 wall_clock_time_millis 815.4962062835693 wall_clock_time_millis 917.2048568725586 wall_clock_time_millis 896.2054252624512 wall_clock_time_millis 966.0282135009766 wall_clock_time_millis 781.2333106994629 wall_clock_time_millis 786.3383293151855 wall_clock_time_millis 760.5741024017334 wall_clock_time_millis_testing 46.80180549621582 wall_clock_time_millis_testing 44.62790489196777 wall_clock_time_millis_testing 45.220136642456055 wall_clock_time_millis_testing 77.7428150177002 wall_clock_time_millis_testing 46.62179946899414 wall_clock_time_millis_testing 44.75545883178711 wall_clock_time_millis_testing 45.06182670593262 wall_clock_time_millis_testing 50.37641525268555 wall_clock_time_millis_testing 45.93658447265625 wall_clock_time_millis_testing 45.99785804748535 wall_clock_time_millis_training 708.2357406616211 wall_clock_time_millis_training 767.0624256134033 wall_clock_time_millis_training 710.8559608459473 wall_clock_time_millis_training 737.7533912658691 wall_clock_time_millis_training 870.5830574035645 wall_clock_time_millis_training 851.4499664306641 wall_clock_time_millis_training 920.966386795044 wall_clock_time_millis_training 730.8568954467773 wall_clock_time_millis_training 740.4017448425293 wall_clock_time_millis_training 714.576244354248