10559404 8323 Heinrich Peters 3903 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8270376 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 memory null 17494 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"}}] 17494 verbose false 17494 C 0.04554492916694445 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.33190972541700026 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 0.13666030899153944 17495 kernel "rbf" 17495 max_iter -1 17495 probability true 17495 random_state 1 17495 shrinking true 17495 tol 0.001 17495 verbose false 17495 openml-python Sklearn_0.21.2. 1050 pc3 https://www.openml.org/data/download/53933/pc3.arff -1 22043773 description https://api.openml.org/data/download/22043773/description.xml -1 22043774 predictions https://api.openml.org/data/download/22043774/predictions.arff area_under_roc_curve 0.7439148253741982 [0.743915,0.743915] average_cost 0 f_measure 0.8615006570907492 [0.944142,0.136842] kappa 0.10800709886209388 kb_relative_information_score -0.06136885476374583 mean_absolute_error 0.1655850736188369 mean_prior_absolute_error 0.1841804999396983 weighted_recall 0.8950735764555342 [0.987883,0.08125] number_of_instances 1563 [1403,160] precision 0.8559175219181002 [0.90411,0.433333] predictive_accuracy 0.8950735764555343 prior_entropy 0.47645699262891783 relative_absolute_error 0.8990369429611191 root_mean_prior_squared_error 0.30313107457396465 root_mean_squared_error 0.2915283022493602 root_relative_squared_error 0.9617235800027708 total_cost 0 unweighted_recall 0.5345665538132574 [0.987883,0.08125] area_under_roc_curve 0.7708333333333333 [0.770833,0.770833] area_under_roc_curve 0.8056294326241135 [0.805629,0.805629] area_under_roc_curve 0.811613475177305 [0.811613,0.811613] area_under_roc_curve 0.8379464285714285 [0.837946,0.837946] area_under_roc_curve 0.8830357142857144 [0.883036,0.883036] area_under_roc_curve 0.6439732142857143 [0.643973,0.643973] area_under_roc_curve 0.6540178571428571 [0.654018,0.654018] area_under_roc_curve 0.6446428571428572 [0.644643,0.644643] area_under_roc_curve 0.6906249999999999 [0.690625,0.690625] area_under_roc_curve 0.7328125 [0.732812,0.732812] 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 0.8738785320204323 [0.949153,0.210526] f_measure 0.8608672366634148 [0.945946,0.111111] f_measure 0.8695957363837252 [0.945578,0.2] f_measure 0.8523709167544783 [0.938356,0.1] f_measure 0.8392403955543887 [0.935154,0] f_measure 0.8774928774928773 [0.952381,0.222222] f_measure 0.8638699286755118 [0.949153,0.117647] f_measure 0.8486084362373021 [0.934708,0.095238] f_measure 0.875894220721807 [0.944828,0.272727] kappa 0.18427433321787356 kappa 0.09051412020275218 kappa 0.16600265604249687 kappa 0.06149732620320827 kappa 0 kappa -0.033472803347280505 kappa 0.20408163265306098 kappa 0.10687022900763347 kappa 0.04878048780487801 kappa 0.22962962962962993 kb_relative_information_score -0.09674188332432833 kb_relative_information_score -0.07113090959714098 kb_relative_information_score 0.0021195933355845483 kb_relative_information_score 0.03432574237013996 kb_relative_information_score 0.05038612701467174 kb_relative_information_score -0.06238725999128337 kb_relative_information_score -0.1263969546004533 kb_relative_information_score -0.10060490858058117 kb_relative_information_score -0.058289742090625325 kb_relative_information_score -0.1850069758451725 mean_absolute_error 0.165109254277177 mean_absolute_error 0.16485904697260315 mean_absolute_error 0.16007154849306793 mean_absolute_error 0.15844926628868955 mean_absolute_error 0.16240498003394283 mean_absolute_error 0.16929633779342515 mean_absolute_error 0.16862162643679254 mean_absolute_error 0.16471513355732945 mean_absolute_error 0.16817885999840954 mean_absolute_error 0.17418772958766043 mean_prior_absolute_error 0.18381799312183292 mean_prior_absolute_error 0.18381799312183292 mean_prior_absolute_error 0.18381799312183292 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 number_of_instances 157 [141,16] number_of_instances 157 [141,16] number_of_instances 157 [141,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] precision 0.8843852538120054 [0.909091,0.666667] precision 0.8621327306348879 [0.903226,0.5] precision 0.8668664918196578 [0.908497,0.5] precision 0.8345141700404858 [0.901316,0.25] precision 0.803586391821686 [0.895425,0] precision 0.9184149184149183 [0.909091,1] precision 0.913151364764268 [0.903226,1] precision 0.8287994566140262 [0.900662,0.2] precision 0.870940170940171 [0.913333,0.5] predictive_accuracy 0.9044585987261147 predictive_accuracy 0.8980891719745223 predictive_accuracy 0.8980891719745223 predictive_accuracy 0.8846153846153847 predictive_accuracy 0.8974358974358974 predictive_accuracy 0.8782051282051282 predictive_accuracy 0.9102564102564102 predictive_accuracy 0.9038461538461539 predictive_accuracy 0.8782051282051282 predictive_accuracy 0.8974358974358974 prior_entropy 0.47503096657936333 prior_entropy 0.47503096657936333 prior_entropy 0.47503096657936333 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 relative_absolute_error 0.8982213953763712 relative_absolute_error 0.896860226644603 relative_absolute_error 0.8708154505145421 relative_absolute_error 0.8595636803777598 relative_absolute_error 0.881022838536282 relative_absolute_error 0.9184074284260701 relative_absolute_error 0.9147472197644336 relative_absolute_error 0.8935550774750344 relative_absolute_error 0.9123452777533495 relative_absolute_error 0.9449425007006369 root_mean_prior_squared_error 0.30253254627312504 root_mean_prior_squared_error 0.30253254627312504 root_mean_prior_squared_error 0.30253254627312504 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_squared_error 0.2858399820637952 root_mean_squared_error 0.2851730934267056 root_mean_squared_error 0.276743597850982 root_mean_squared_error 0.2812126096913317 root_mean_squared_error 0.2868469049203438 root_mean_squared_error 0.30755041720084264 root_mean_squared_error 0.289827284902004 root_mean_squared_error 0.30012522994526586 root_mean_squared_error 0.3036390486066858 root_mean_squared_error 0.29690080558208076 root_relative_squared_error 0.9448239060062653 root_relative_squared_error 0.9426195526389833 root_relative_squared_error 0.9147564493809506 root_relative_squared_error 0.9269048429716049 root_relative_squared_error 0.9454760426778893 root_relative_squared_error 1.0137168865731194 root_relative_squared_error 0.9552996727132873 root_relative_squared_error 0.9892427279117437 root_relative_squared_error 1.0008246251039397 root_relative_squared_error 0.9786147032249688 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 unweighted_recall 0.5589539007092199 [0.992908,0.125] unweighted_recall 0.5277039007092199 [0.992908,0.0625] unweighted_recall 0.5554078014184397 [0.985816,0.125] unweighted_recall 0.5205357142857143 [0.978571,0.0625] unweighted_recall 0.5 [1,0] unweighted_recall 0.48928571428571427 [0.978571,0] unweighted_recall 0.5625 [1,0.125] unweighted_recall 0.53125 [1,0.0625] unweighted_recall 0.5169642857142858 [0.971429,0.0625] unweighted_recall 0.5830357142857143 [0.978571,0.1875] usercpu_time_millis 401.2960000000021 usercpu_time_millis 410.99200000000025 usercpu_time_millis 420.8899999999929 usercpu_time_millis 399.0960000000001 usercpu_time_millis 403.3680000000004 usercpu_time_millis 398.18399999999343 usercpu_time_millis 416.5779999999941 usercpu_time_millis 545.3660000000013 usercpu_time_millis 573.1019999999986 usercpu_time_millis 442.19800000000475 usercpu_time_millis_testing 7.038000000001432 usercpu_time_millis_testing 7.7799999999967895 usercpu_time_millis_testing 7.435999999998444 usercpu_time_millis_testing 7.418000000001257 usercpu_time_millis_testing 7.677999999998519 usercpu_time_millis_testing 6.871999999994216 usercpu_time_millis_testing 7.365999999997541 usercpu_time_millis_testing 10.089999999998156 usercpu_time_millis_testing 12.073999999998364 usercpu_time_millis_testing 7.212000000002661 usercpu_time_millis_training 394.25800000000066 usercpu_time_millis_training 403.21200000000346 usercpu_time_millis_training 413.45399999999444 usercpu_time_millis_training 391.67799999999886 usercpu_time_millis_training 395.6900000000019 usercpu_time_millis_training 391.3119999999992 usercpu_time_millis_training 409.2119999999966 usercpu_time_millis_training 535.2760000000033 usercpu_time_millis_training 561.0280000000002 usercpu_time_millis_training 434.9860000000021 wall_clock_time_millis 204.73718643188477 wall_clock_time_millis 210.0698947906494 wall_clock_time_millis 218.4288501739502 wall_clock_time_millis 205.07264137268066 wall_clock_time_millis 206.90321922302246 wall_clock_time_millis 204.542875289917 wall_clock_time_millis 216.56250953674316 wall_clock_time_millis 361.7379665374756 wall_clock_time_millis 471.33612632751465 wall_clock_time_millis 250.5488395690918 wall_clock_time_millis_testing 3.5390853881835938 wall_clock_time_millis_testing 3.969907760620117 wall_clock_time_millis_testing 3.8919448852539062 wall_clock_time_millis_testing 3.8306713104248047 wall_clock_time_millis_testing 4.060029983520508 wall_clock_time_millis_testing 3.469705581665039 wall_clock_time_millis_testing 3.8170814514160156 wall_clock_time_millis_testing 5.634069442749023 wall_clock_time_millis_testing 7.302045822143555 wall_clock_time_millis_testing 3.8099288940429688 wall_clock_time_millis_training 201.19810104370117 wall_clock_time_millis_training 206.0999870300293 wall_clock_time_millis_training 214.5369052886963 wall_clock_time_millis_training 201.24197006225586 wall_clock_time_millis_training 202.84318923950195 wall_clock_time_millis_training 201.07316970825195 wall_clock_time_millis_training 212.74542808532715 wall_clock_time_millis_training 356.10389709472656 wall_clock_time_millis_training 464.0340805053711 wall_clock_time_millis_training 246.73891067504883 weighted_recall 0.9044585987261147 [0.992908,0.125] weighted_recall 0.8980891719745223 [0.992908,0.0625] weighted_recall 0.8980891719745223 [0.985816,0.125] weighted_recall 0.8846153846153846 [0.978571,0.0625] weighted_recall 0.8974358974358975 [1,0] weighted_recall 0.8782051282051282 [0.978571,0] weighted_recall 0.9102564102564102 [1,0.125] weighted_recall 0.9038461538461539 [1,0.0625] weighted_recall 0.8782051282051282 [0.971429,0.0625] weighted_recall 0.8974358974358975 [0.978571,0.1875]