10315667 8323 Heinrich Peters 9981 Supervised Classification 15083 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1) 8174183 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 memory null 15083 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": "fkceigenpro", "step_name": "fkceigenpro"}}] 15083 verbose false 15083 bandwidth 5 15084 batch_size "auto" 15084 coef0 1 15084 degree 4 15084 gamma 1e-06 15084 kernel "laplace" 15084 kernel_params null 15084 n_components 3000 15084 n_epoch 2 15084 random_state 47476 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 1468 cnae-9 https://www.openml.org/data/download/1586233/phpmcGu2X -1 21552994 description https://api.openml.org/data/download/21552994/description.xml -1 21552995 predictions https://api.openml.org/data/download/21552995/predictions.arff area_under_roc_curve 0.9348958333333334 [0.980729,0.972396,0.933854,0.848958,0.978125,0.897396,0.941667,0.984896,0.876042] average_cost 0 f_measure 0.8834223212077237 [0.962656,0.879699,0.856,0.767857,0.970464,0.868778,0.839695,0.966942,0.83871] kappa 0.8697916666666667 kb_relative_information_score 0.878054934069124 mean_absolute_error 0.025720164609053436 mean_prior_absolute_error 0.197530864197526 number_of_instances 1080 [120,120,120,120,120,120,120,120,120] precision 0.8905841324487243 [0.958678,0.80137,0.823077,0.826923,0.982906,0.950495,0.774648,0.959016,0.938144] predictive_accuracy 0.8842592592592592 prior_entropy 3.1699250014422624 recall 0.8842592592592593 [0.966667,0.975,0.891667,0.716667,0.958333,0.8,0.916667,0.975,0.758333] relative_absolute_error 0.13020833333333623 root_mean_prior_squared_error 0.3142696805273506 root_mean_squared_error 0.16037507477489585 root_relative_squared_error 0.5103103630798344 total_cost 0 area_under_roc_curve 0.9479166666666666 [0.958333,0.979167,0.947917,0.916667,1,0.916667,0.979167,0.958333,0.875] area_under_roc_curve 0.9322916666666666 [1,0.989583,0.953125,0.932292,0.875,0.911458,0.984375,0.994792,0.75] area_under_roc_curve 0.90625 [0.942708,0.84375,0.864583,0.8125,0.994792,0.875,0.953125,0.953125,0.916667] area_under_roc_curve 0.9427083333333334 [1,0.984375,0.947917,0.833333,1,0.911458,0.9375,0.994792,0.875] area_under_roc_curve 0.9322916666666666 [0.958333,0.994792,0.859375,0.901042,1,0.833333,0.979167,0.994792,0.869792] area_under_roc_curve 0.9322916666666666 [1,0.989583,0.96875,0.708333,1,0.911458,0.895833,1,0.916667] area_under_roc_curve 0.9270833333333334 [0.994792,0.989583,0.942708,0.776042,0.958333,0.916667,0.859375,1,0.90625] area_under_roc_curve 0.9375 [0.994792,0.984375,0.942708,0.859375,1,0.958333,0.911458,0.958333,0.828125] area_under_roc_curve 0.9375 [0.958333,0.979167,0.958333,0.916667,0.958333,0.869792,0.9375,0.994792,0.864583] area_under_roc_curve 0.953125 [1,0.989583,0.953125,0.833333,0.994792,0.869792,0.979167,1,0.958333] 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 0.9091837630968064 [0.956522,0.857143,0.88,0.909091,1,0.909091,0.857143,0.956522,0.857143] f_measure 0.874191278394177 [1,0.923077,0.916667,0.785714,0.857143,0.869565,0.888889,0.96,0.666667] f_measure 0.8357403305229392 [0.846154,0.666667,0.782609,0.666667,0.96,0.857143,0.916667,0.916667,0.909091] f_measure 0.8967124198042071 [1,0.888889,0.88,0.8,1,0.869565,0.814815,0.96,0.857143] f_measure 0.8779829349394567 [0.956522,0.96,0.75,0.8,1,0.8,0.857143,0.96,0.818182] f_measure 0.873244345878617 [1,0.923077,0.8,0.588235,1,0.869565,0.769231,1,0.909091] f_measure 0.8682822652387869 [0.96,0.923077,0.846154,0.636364,0.956522,0.909091,0.75,1,0.833333] f_measure 0.887728465844408 [0.96,0.888889,0.846154,0.75,1,0.956522,0.869565,0.956522,0.761905] f_measure 0.8901560346970975 [0.956522,0.857143,0.956522,0.909091,0.956522,0.818182,0.814815,0.96,0.782609] f_measure 0.9146211115776334 [1,0.923077,0.916667,0.8,0.96,0.818182,0.857143,1,0.956522] kappa 0.8958333333333334 kappa 0.8645833333333335 kappa 0.8125000000000001 kappa 0.8854166666666666 kappa 0.8645833333333335 kappa 0.8645833333333335 kappa 0.8541666666666667 kappa 0.8749999999999999 kappa 0.8749999999999999 kappa 0.9062500000000001 kb_relative_information_score 0.9024439472552944 kb_relative_information_score 0.8731771314318831 kb_relative_information_score 0.8243991050595304 kb_relative_information_score 0.8926883419808241 kb_relative_information_score 0.8731771314318828 kb_relative_information_score 0.8731771314318831 kb_relative_information_score 0.8634215261574125 kb_relative_information_score 0.8829327367063535 kb_relative_information_score 0.8829327367063535 kb_relative_information_score 0.912199552529765 mean_absolute_error 0.020576131687242802 mean_absolute_error 0.026748971193415644 mean_absolute_error 0.03703703703703704 mean_absolute_error 0.022633744855967083 mean_absolute_error 0.026748971193415644 mean_absolute_error 0.026748971193415644 mean_absolute_error 0.028806584362139925 mean_absolute_error 0.024691358024691364 mean_absolute_error 0.024691358024691364 mean_absolute_error 0.01851851851851852 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 mean_prior_absolute_error 0.1975308641975314 number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] number_of_instances 108 [12,12,12,12,12,12,12,12,12] precision 0.9273504273504274 [1,0.75,0.846154,1,1,1,0.75,1,1] precision 0.899275261775262 [1,0.857143,0.916667,0.6875,1,0.909091,0.8,0.923077,1] precision 0.8474414474414474 [0.785714,0.6,0.818182,0.666667,0.923077,1,0.916667,0.916667,1] precision 0.9124061124061124 [1,0.8,0.846154,1,1,0.909091,0.733333,0.923077,1] precision 0.8905982905982908 [1,0.923077,0.75,0.769231,1,1,0.75,0.923077,0.9] precision 0.9052429052429053 [1,0.857143,0.666667,1,1,0.909091,0.714286,1,1] precision 0.8721408221408221 [0.923077,0.857143,0.785714,0.7,1,1,0.75,1,0.833333] precision 0.8951967785301119 [0.923077,0.8,0.785714,0.75,1,1,0.909091,1,0.888889] precision 0.9027324527324526 [1,0.75,1,1,1,0.9,0.733333,0.923077,0.818182] precision 0.9274318274318274 [1,0.857143,0.916667,1,0.923077,0.9,0.75,1,1] predictive_accuracy 0.9074074074074074 predictive_accuracy 0.8796296296296297 predictive_accuracy 0.8333333333333333 predictive_accuracy 0.8981481481481481 predictive_accuracy 0.8796296296296297 predictive_accuracy 0.8796296296296297 predictive_accuracy 0.8703703703703703 predictive_accuracy 0.8888888888888888 predictive_accuracy 0.8888888888888888 predictive_accuracy 0.9166666666666667 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 prior_entropy 3.169925001442319 recall 0.9074074074074074 [0.916667,1,0.916667,0.833333,1,0.833333,1,0.916667,0.75] recall 0.8796296296296297 [1,1,0.916667,0.916667,0.75,0.833333,1,1,0.5] recall 0.8333333333333334 [0.916667,0.75,0.75,0.666667,1,0.75,0.916667,0.916667,0.833333] recall 0.8981481481481481 [1,1,0.916667,0.666667,1,0.833333,0.916667,1,0.75] recall 0.8796296296296297 [0.916667,1,0.75,0.833333,1,0.666667,1,1,0.75] recall 0.8796296296296297 [1,1,1,0.416667,1,0.833333,0.833333,1,0.833333] recall 0.8703703703703703 [1,1,0.916667,0.583333,0.916667,0.833333,0.75,1,0.833333] recall 0.8888888888888888 [1,1,0.916667,0.75,1,0.916667,0.833333,0.916667,0.666667] recall 0.8888888888888888 [0.916667,1,0.916667,0.833333,0.916667,0.75,0.916667,1,0.75] recall 0.9166666666666666 [1,1,0.916667,0.666667,1,0.75,1,1,0.916667] relative_absolute_error 0.1041666666666664 relative_absolute_error 0.13541666666666632 relative_absolute_error 0.1874999999999995 relative_absolute_error 0.11458333333333305 relative_absolute_error 0.13541666666666632 relative_absolute_error 0.13541666666666632 relative_absolute_error 0.14583333333333295 relative_absolute_error 0.1249999999999997 relative_absolute_error 0.1249999999999997 relative_absolute_error 0.09374999999999975 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_prior_squared_error 0.3142696805273549 root_mean_squared_error 0.14344382763731175 root_mean_squared_error 0.1635511271542194 root_mean_squared_error 0.19245008972987526 root_mean_squared_error 0.15044515564140667 root_mean_squared_error 0.1635511271542194 root_mean_squared_error 0.1635511271542194 root_mean_squared_error 0.1697250257391052 root_mean_squared_error 0.15713484026367724 root_mean_squared_error 0.15713484026367724 root_mean_squared_error 0.13608276348795434 root_relative_squared_error 0.45643546458763784 root_relative_squared_error 0.5204164998665326 root_relative_squared_error 0.6123724356957938 root_relative_squared_error 0.4787135538781684 root_relative_squared_error 0.5204164998665326 root_relative_squared_error 0.5204164998665326 root_relative_squared_error 0.540061724867321 root_relative_squared_error 0.49999999999999944 root_relative_squared_error 0.49999999999999944 root_relative_squared_error 0.43301270189221874 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 964.2514869919978 usercpu_time_millis 940.5550619994756 usercpu_time_millis 944.8516470001778 usercpu_time_millis 962.8551119967597 usercpu_time_millis 921.3313349901 usercpu_time_millis 918.8165850209771 usercpu_time_millis 929.4063819979783 usercpu_time_millis 966.2508679903112 usercpu_time_millis 967.8620879858499 usercpu_time_millis 950.6718920019921 usercpu_time_millis_testing 12.361897999653593 usercpu_time_millis_testing 11.989566002739593 usercpu_time_millis_testing 11.77401099994313 usercpu_time_millis_testing 11.573063005926087 usercpu_time_millis_testing 11.921415993128903 usercpu_time_millis_testing 11.858043013489805 usercpu_time_millis_testing 12.07398300175555 usercpu_time_millis_testing 12.706548994174227 usercpu_time_millis_testing 12.49707599345129 usercpu_time_millis_testing 12.320923007791862 usercpu_time_millis_training 951.8895889923442 usercpu_time_millis_training 928.565495996736 usercpu_time_millis_training 933.0776360002346 usercpu_time_millis_training 951.2820489908336 usercpu_time_millis_training 909.4099189969711 usercpu_time_millis_training 906.9585420074873 usercpu_time_millis_training 917.3323989962228 usercpu_time_millis_training 953.544318996137 usercpu_time_millis_training 955.3650119923986 usercpu_time_millis_training 938.3509689942002 wall_clock_time_millis 964.4496440887451 wall_clock_time_millis 940.7374858856201 wall_clock_time_millis 944.9038505554199 wall_clock_time_millis 963.0546569824219 wall_clock_time_millis 921.5149879455566 wall_clock_time_millis 919.0304279327393 wall_clock_time_millis 929.4254779815674 wall_clock_time_millis 966.4521217346191 wall_clock_time_millis 967.9124355316162 wall_clock_time_millis 950.6998062133789 wall_clock_time_millis_testing 12.368202209472656 wall_clock_time_millis_testing 12.000083923339844 wall_clock_time_millis_testing 11.779069900512695 wall_clock_time_millis_testing 11.580228805541992 wall_clock_time_millis_testing 11.926889419555664 wall_clock_time_millis_testing 11.86823844909668 wall_clock_time_millis_testing 12.080192565917969 wall_clock_time_millis_testing 12.714862823486328 wall_clock_time_millis_testing 12.505054473876953 wall_clock_time_millis_testing 12.326478958129883 wall_clock_time_millis_training 952.0814418792725 wall_clock_time_millis_training 928.7374019622803 wall_clock_time_millis_training 933.1247806549072 wall_clock_time_millis_training 951.4744281768799 wall_clock_time_millis_training 909.588098526001 wall_clock_time_millis_training 907.1621894836426 wall_clock_time_millis_training 917.3452854156494 wall_clock_time_millis_training 953.7372589111328 wall_clock_time_millis_training 955.4073810577393 wall_clock_time_millis_training 938.373327255249