10327046 8323 Heinrich Peters 16 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8182714 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 4297.397059178814 13389 cache_size 200 13389 class_weight null 13389 coef0 0.013499300518863278 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.1820082271280914 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 42352 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. 16 mfeat-karhunen https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff -1 21575778 description https://api.openml.org/data/download/21575778/description.xml -1 21575779 predictions https://api.openml.org/data/download/21575779/predictions.arff area_under_roc_curve 0.7269444444444444 [0.795,0.695,0.7575,0.7,0.7675,0.62,0.68,0.7875,0.727222,0.739722] average_cost 0 f_measure 0.5834221922154289 [0.742138,0.561151,0.679868,0.571429,0.697068,0.387097,0.529412,0.730159,0.289436,0.646465] kappa 0.45388888888888884 kb_relative_information_score 0.48601019338944096 mean_absolute_error 0.0982999999999987 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.915889545938214 [1,1,1,1,1,1,1,1,0.169205,0.989691] predictive_accuracy 0.5085000000000001 prior_entropy 3.3219280948872383 recall 0.5085 [0.59,0.39,0.515,0.4,0.535,0.24,0.36,0.575,1,0.48] relative_absolute_error 0.546111111111087 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.3135283081318156 root_relative_squared_error 1.0450943604393692 total_cost 0 area_under_roc_curve 0.7277777777777777 [0.775,0.725,0.75,0.625,0.9,0.7,0.6,0.725,0.727778,0.75] area_under_roc_curve 0.7361111111111112 [0.775,0.675,0.775,0.675,0.75,0.55,0.8,0.825,0.736111,0.8] area_under_roc_curve 0.7083333333333335 [0.725,0.65,0.8,0.6,0.825,0.65,0.675,0.725,0.708333,0.725] area_under_roc_curve 0.7361111111111112 [0.825,0.725,0.775,0.675,0.725,0.625,0.725,0.8,0.736111,0.75] area_under_roc_curve 0.7527777777777778 [0.825,0.7,0.775,0.825,0.775,0.75,0.7,0.725,0.752778,0.7] area_under_roc_curve 0.6916666666666665 [0.825,0.8,0.7,0.675,0.625,0.6,0.6,0.75,0.691667,0.65] area_under_roc_curve 0.7194444444444444 [0.775,0.675,0.725,0.7,0.725,0.625,0.6,0.85,0.719444,0.8] area_under_roc_curve 0.7555555555555554 [0.8,0.7,0.75,0.7,0.8,0.55,0.775,0.875,0.758333,0.847222] area_under_roc_curve 0.7194444444444444 [0.825,0.575,0.75,0.825,0.725,0.55,0.675,0.85,0.719444,0.7] area_under_roc_curve 0.7222222222222223 [0.8,0.725,0.775,0.7,0.825,0.6,0.65,0.75,0.722222,0.675] 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 0.5767895929147562 [0.709677,0.62069,0.666667,0.4,0.888889,0.571429,0.333333,0.62069,0.289855,0.666667] f_measure 0.5889051808406647 [0.709677,0.518519,0.709677,0.518519,0.666667,0.181818,0.75,0.787879,0.296296,0.75] f_measure 0.5450738597290321 [0.62069,0.461538,0.75,0.333333,0.787879,0.461538,0.518519,0.62069,0.275862,0.62069] f_measure 0.5991106654232349 [0.787879,0.62069,0.709677,0.518519,0.62069,0.4,0.62069,0.75,0.296296,0.666667] f_measure 0.6306831969971892 [0.787879,0.571429,0.709677,0.787879,0.709677,0.666667,0.571429,0.62069,0.310078,0.571429] f_measure 0.5087598334949329 [0.787879,0.75,0.571429,0.518519,0.4,0.333333,0.333333,0.666667,0.264901,0.461538] f_measure 0.5631554508007208 [0.709677,0.518519,0.62069,0.571429,0.62069,0.4,0.333333,0.823529,0.283688,0.75] f_measure 0.6173122897760946 [0.75,0.571429,0.666667,0.571429,0.75,0.181818,0.709677,0.857143,0.314961,0.8] f_measure 0.5502966089606437 [0.787879,0.26087,0.666667,0.787879,0.62069,0.181818,0.518519,0.823529,0.283688,0.571429] f_measure 0.5705445699605878 [0.75,0.62069,0.709677,0.571429,0.787879,0.333333,0.461538,0.666667,0.285714,0.518519] kappa 0.4555555555555556 kappa 0.47222222222222227 kappa 0.41666666666666663 kappa 0.47222222222222227 kappa 0.5055555555555556 kappa 0.3833333333333333 kappa 0.4388888888888889 kappa 0.5111111111111112 kappa 0.4388888888888889 kappa 0.4444444444444445 kb_relative_information_score 0.48757882962527144 kb_relative_information_score 0.5032651919836814 kb_relative_information_score 0.45097731745564756 kb_relative_information_score 0.5032651919836815 kb_relative_information_score 0.5346379167005019 kb_relative_information_score 0.4196045927388273 kb_relative_information_score 0.47189246726686107 kb_relative_information_score 0.5398667041533052 kb_relative_information_score 0.471892467266861 kb_relative_information_score 0.47712125471966454 mean_absolute_error 0.09799999999999981 mean_absolute_error 0.09499999999999982 mean_absolute_error 0.10499999999999979 mean_absolute_error 0.09499999999999982 mean_absolute_error 0.08899999999999984 mean_absolute_error 0.11099999999999977 mean_absolute_error 0.1009999999999998 mean_absolute_error 0.08799999999999984 mean_absolute_error 0.1009999999999998 mean_absolute_error 0.09999999999999981 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 0.9169491525423729 [1,1,1,1,1,1,1,1,0.169492,1] precision 0.9173913043478261 [1,1,1,1,1,1,1,1,0.173913,1] precision 0.9159999999999999 [1,1,1,1,1,1,1,1,0.16,1] precision 0.9173913043478261 [1,1,1,1,1,1,1,1,0.173913,1] precision 0.918348623853211 [1,1,1,1,1,1,1,1,0.183486,1] precision 0.9152671755725191 [1,1,1,1,1,1,1,1,0.152672,1] precision 0.9165289256198348 [1,1,1,1,1,1,1,1,0.165289,1] precision 0.91202492211838 [1,1,1,1,1,1,1,1,0.186916,0.933333] precision 0.9165289256198348 [1,1,1,1,1,1,1,1,0.165289,1] precision 0.9166666666666667 [1,1,1,1,1,1,1,1,0.166667,1] predictive_accuracy 0.51 predictive_accuracy 0.525 predictive_accuracy 0.475 predictive_accuracy 0.525 predictive_accuracy 0.555 predictive_accuracy 0.445 predictive_accuracy 0.495 predictive_accuracy 0.56 predictive_accuracy 0.495 predictive_accuracy 0.5 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 0.51 [0.55,0.45,0.5,0.25,0.8,0.4,0.2,0.45,1,0.5] recall 0.525 [0.55,0.35,0.55,0.35,0.5,0.1,0.6,0.65,1,0.6] recall 0.475 [0.45,0.3,0.6,0.2,0.65,0.3,0.35,0.45,1,0.45] recall 0.525 [0.65,0.45,0.55,0.35,0.45,0.25,0.45,0.6,1,0.5] recall 0.555 [0.65,0.4,0.55,0.65,0.55,0.5,0.4,0.45,1,0.4] recall 0.445 [0.65,0.6,0.4,0.35,0.25,0.2,0.2,0.5,1,0.3] recall 0.495 [0.55,0.35,0.45,0.4,0.45,0.25,0.2,0.7,1,0.6] recall 0.56 [0.6,0.4,0.5,0.4,0.6,0.1,0.55,0.75,1,0.7] recall 0.495 [0.65,0.15,0.5,0.65,0.45,0.1,0.35,0.7,1,0.4] recall 0.5 [0.6,0.45,0.55,0.4,0.65,0.2,0.3,0.5,1,0.35] relative_absolute_error 0.544444444444444 relative_absolute_error 0.5277777777777773 relative_absolute_error 0.5833333333333328 relative_absolute_error 0.5277777777777773 relative_absolute_error 0.49444444444444413 relative_absolute_error 0.616666666666666 relative_absolute_error 0.5611111111111107 relative_absolute_error 0.4888888888888886 relative_absolute_error 0.5611111111111107 relative_absolute_error 0.555555555555555 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 0.31304951684997023 root_mean_squared_error 0.30822070014844855 root_mean_squared_error 0.3240370349203927 root_mean_squared_error 0.30822070014844855 root_mean_squared_error 0.2983286778035257 root_mean_squared_error 0.3331666249791533 root_mean_squared_error 0.31780497164141375 root_mean_squared_error 0.29664793948382623 root_mean_squared_error 0.31780497164141375 root_mean_squared_error 0.3162277660168376 root_relative_squared_error 1.0434983894999013 root_relative_squared_error 1.0274023338281624 root_relative_squared_error 1.080123449734643 root_relative_squared_error 1.0274023338281624 root_relative_squared_error 0.9944289260117529 root_relative_squared_error 1.1105554165971783 root_relative_squared_error 1.0593499054713797 root_relative_squared_error 0.9888264649460881 root_relative_squared_error 1.0593499054713797 root_relative_squared_error 1.0540925533894592 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 1053.4983660036232 usercpu_time_millis 1055.3761139963171 usercpu_time_millis 1053.2784200040624 usercpu_time_millis 1052.521853998769 usercpu_time_millis 1062.2786069943686 usercpu_time_millis 1051.7290889983997 usercpu_time_millis 1055.6818340046448 usercpu_time_millis 1054.7396699985256 usercpu_time_millis 1060.9736269980203 usercpu_time_millis 1059.445983999467 usercpu_time_millis_testing 56.33506300364388 usercpu_time_millis_testing 58.0624789945432 usercpu_time_millis_testing 56.527555003413 usercpu_time_millis_testing 56.81218700192403 usercpu_time_millis_testing 56.414396000036504 usercpu_time_millis_testing 56.426025003020186 usercpu_time_millis_testing 57.887062001100276 usercpu_time_millis_testing 56.30233199917711 usercpu_time_millis_testing 56.3253820000682 usercpu_time_millis_testing 57.29153099673567 usercpu_time_millis_training 997.1633029999794 usercpu_time_millis_training 997.313635001774 usercpu_time_millis_training 996.7508650006494 usercpu_time_millis_training 995.709666996845 usercpu_time_millis_training 1005.8642109943321 usercpu_time_millis_training 995.3030639953795 usercpu_time_millis_training 997.7947720035445 usercpu_time_millis_training 998.4373379993485 usercpu_time_millis_training 1004.6482449979521 usercpu_time_millis_training 1002.1544530027313 wall_clock_time_millis 1053.5929203033447 wall_clock_time_millis 1071.5110301971436 wall_clock_time_millis 1261.4307403564453 wall_clock_time_millis 1052.612543106079 wall_clock_time_millis 1234.391450881958 wall_clock_time_millis 1207.8297138214111 wall_clock_time_millis 1087.8169536590576 wall_clock_time_millis 1086.8616104125977 wall_clock_time_millis 1093.059778213501 wall_clock_time_millis 1083.6093425750732 wall_clock_time_millis_testing 56.3504695892334 wall_clock_time_millis_testing 58.07805061340332 wall_clock_time_millis_testing 56.54335021972656 wall_clock_time_millis_testing 56.82873725891113 wall_clock_time_millis_testing 56.42890930175781 wall_clock_time_millis_testing 72.43609428405762 wall_clock_time_millis_testing 57.90114402770996 wall_clock_time_millis_testing 56.31613731384277 wall_clock_time_millis_testing 56.340694427490234 wall_clock_time_millis_testing 57.30581283569336 wall_clock_time_millis_training 997.2424507141113 wall_clock_time_millis_training 1013.4329795837402 wall_clock_time_millis_training 1204.8873901367188 wall_clock_time_millis_training 995.783805847168 wall_clock_time_millis_training 1177.9625415802002 wall_clock_time_millis_training 1135.3936195373535 wall_clock_time_millis_training 1029.9158096313477 wall_clock_time_millis_training 1030.5454730987549 wall_clock_time_millis_training 1036.7190837860107 wall_clock_time_millis_training 1026.3035297393799