10370449 8323 Heinrich Peters 3918 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8225796 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 7062.385681297137 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.4212472624657243 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 6464 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. 1068 pc1 https://www.openml.org/data/download/53951/pc1.arff -1 21662603 description https://api.openml.org/data/download/21662603/description.xml -1 21662604 predictions https://api.openml.org/data/download/21662604/predictions.arff area_under_roc_curve 0.6174682875264269 [0.617468,0.617468] average_cost 0 f_measure 0.9093722939718746 [0.954349,0.306569] kappa 0.2616666549865798 kb_relative_information_score 0.07292403931496198 mean_absolute_error 0.08566275924256087 mean_prior_absolute_error 0.12988972477049396 number_of_instances 1109 [1032,77] precision 0.9051916420035055 [0.946616,0.35] predictive_accuracy 0.914337240757439 prior_entropy 0.36380676688852276 recall 0.9143372407574392 [0.962209,0.272727] relative_absolute_error 0.6595037397601771 root_mean_prior_squared_error 0.25418837468358885 root_mean_squared_error 0.2926820104525744 root_relative_squared_error 1.1514374361805573 total_cost 0 area_under_roc_curve 0.5521978021978022 [0.552198,0.552198] area_under_roc_curve 0.5377747252747251 [0.537775,0.537775] area_under_roc_curve 0.6729368932038835 [0.672937,0.672937] area_under_roc_curve 0.6055825242718448 [0.605583,0.605583] area_under_roc_curve 0.7354368932038835 [0.735437,0.735437] area_under_roc_curve 0.720873786407767 [0.720874,0.720874] area_under_roc_curve 0.5527912621359223 [0.552791,0.552791] area_under_roc_curve 0.6201456310679612 [0.620146,0.620146] area_under_roc_curve 0.658373786407767 [0.658374,0.658374] area_under_roc_curve 0.4854368932038835 [0.485437,0.485437] 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 0.902831402831403 [0.952381,0.166667] f_measure 0.8865038951995474 [0.937198,0.133333] f_measure 0.9231264231264232 [0.961538,0.428571] f_measure 0.903908028908029 [0.951923,0.285714] f_measure 0.9349871610741175 [0.966184,0.533333] f_measure 0.914473296826238 [0.95098,0.444444] f_measure 0.901452076807527 [0.957346,0.181818] f_measure 0.9233516152947432 [0.966825,0.363636] f_measure 0.9035738751664146 [0.946341,0.352941] f_measure 0.8917748917748916 [0.952381,0] kappa 0.120443740095087 kappa 0.07083065035415313 kappa 0.3909465020576127 kappa 0.23868312757201662 kappa 0.4996780424983901 kappa 0.39608269858541906 kappa 0.14833759590792903 kappa 0.3375959079283886 kappa 0.29948364888123913 kappa -0.039697542533082136 kb_relative_information_score -0.043048486586290846 kb_relative_information_score -0.35596303256217887 kb_relative_information_score 0.24054978103079175 kb_relative_information_score 0.05068722628848979 kb_relative_information_score 0.33548105840194287 kb_relative_information_score 0.05068722628848931 kb_relative_information_score 0.1456185036596412 kb_relative_information_score 0.3354810584019428 kb_relative_information_score -0.04424405108266132 kb_relative_information_score -0.045958473095770024 mean_absolute_error 0.09009009009009009 mean_absolute_error 0.11711711711711711 mean_absolute_error 0.07207207207207207 mean_absolute_error 0.09009009009009009 mean_absolute_error 0.06306306306306306 mean_absolute_error 0.09009009009009009 mean_absolute_error 0.08108108108108109 mean_absolute_error 0.06306306306306306 mean_absolute_error 0.0990990990990991 mean_absolute_error 0.09090909090909091 mean_prior_absolute_error 0.12441514421712434 mean_prior_absolute_error 0.12441514421712434 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1249079453399885 number_of_instances 111 [104,7] number_of_instances 111 [104,7] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 110 [103,7] precision 0.8965153833078362 [0.943396,0.2] precision 0.8902409691244643 [0.941748,0.125] precision 0.9197769197769197 [0.952381,0.5] precision 0.898927498927499 [0.942857,0.333333] precision 0.9334224334224335 [0.961538,0.571429] precision 0.92000713584872 [0.960396,0.4] precision 0.8918084751418085 [0.935185,0.333333] precision 0.9244244244244243 [0.944444,0.666667] precision 0.9064652888182301 [0.95098,0.333333] precision 0.875106202209006 [0.934579,0] predictive_accuracy 0.9099099099099099 predictive_accuracy 0.8828828828828829 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.9369369369369369 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.9369369369369369 predictive_accuracy 0.9009009009009009 predictive_accuracy 0.9090909090909091 prior_entropy 0.3400686187404258 prior_entropy 0.3400686187404258 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.3422054374333021 recall 0.9099099099099099 [0.961538,0.142857] recall 0.8828828828828829 [0.932692,0.142857] recall 0.9279279279279279 [0.970874,0.375] recall 0.9099099099099099 [0.961165,0.25] recall 0.9369369369369369 [0.970874,0.5] recall 0.9099099099099099 [0.941748,0.5] recall 0.918918918918919 [0.980583,0.125] recall 0.9369369369369369 [0.990291,0.25] recall 0.9009009009009009 [0.941748,0.375] recall 0.9090909090909091 [0.970874,0] relative_absolute_error 0.7241087140715641 relative_absolute_error 0.9413413282930333 relative_absolute_error 0.5453429868695547 relative_absolute_error 0.6816787335869435 relative_absolute_error 0.4771751135108604 relative_absolute_error 0.6816787335869435 relative_absolute_error 0.6135108602282492 relative_absolute_error 0.4771751135108604 relative_absolute_error 0.7498466069456378 relative_absolute_error 0.727808712741566 root_mean_prior_squared_error 0.24318130946048286 root_mean_prior_squared_error 0.24318130946048286 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.24419244540685378 root_mean_squared_error 0.3001501125938321 root_mean_squared_error 0.34222378222022665 root_mean_squared_error 0.2684624220856097 root_mean_squared_error 0.3001501125938321 root_mean_squared_error 0.2511236011669613 root_mean_squared_error 0.3001501125938321 root_mean_squared_error 0.2847473987257497 root_mean_squared_error 0.2511236011669613 root_mean_squared_error 0.3148000938676784 root_mean_squared_error 0.30151134457776363 root_relative_squared_error 1.2342647272511982 root_relative_squared_error 1.4072783100785065 root_relative_squared_error 1.0380818149236974 root_relative_squared_error 1.1606107521878715 root_relative_squared_error 0.9710366227212378 root_relative_squared_error 1.1606107521878715 root_relative_squared_error 1.1010520361384777 root_relative_squared_error 0.9710366227212378 root_relative_squared_error 1.2172588261760549 root_relative_squared_error 1.2347283884045213 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 59.430350998809445 usercpu_time_millis 79.52783800010366 usercpu_time_millis 50.72070000005624 usercpu_time_millis 60.906852000698564 usercpu_time_millis 76.93632500013337 usercpu_time_millis 83.91019400005462 usercpu_time_millis 73.12892900063162 usercpu_time_millis 77.24096899983124 usercpu_time_millis 74.3566010005452 usercpu_time_millis 69.88094300049852 usercpu_time_millis_testing 3.218848999495094 usercpu_time_millis_testing 2.9730240003118524 usercpu_time_millis_testing 2.5274700001318706 usercpu_time_millis_testing 3.090705000431626 usercpu_time_millis_testing 3.0036600001039915 usercpu_time_millis_testing 2.987629999552155 usercpu_time_millis_testing 3.0726009999852977 usercpu_time_millis_testing 3.0067159996178816 usercpu_time_millis_testing 2.5195730004270445 usercpu_time_millis_testing 2.462250000462518 usercpu_time_millis_training 56.21150199931435 usercpu_time_millis_training 76.5548139997918 usercpu_time_millis_training 48.19322999992437 usercpu_time_millis_training 57.81614700026694 usercpu_time_millis_training 73.93266500002937 usercpu_time_millis_training 80.92256400050246 usercpu_time_millis_training 70.05632800064632 usercpu_time_millis_training 74.23425300021336 usercpu_time_millis_training 71.83702800011815 usercpu_time_millis_training 67.418693000036 wall_clock_time_millis 59.43799018859863 wall_clock_time_millis 79.53691482543945 wall_clock_time_millis 50.72951316833496 wall_clock_time_millis 60.91451644897461 wall_clock_time_millis 76.94578170776367 wall_clock_time_millis 83.91904830932617 wall_clock_time_millis 73.14801216125488 wall_clock_time_millis 77.24881172180176 wall_clock_time_millis 74.36609268188477 wall_clock_time_millis 69.88954544067383 wall_clock_time_millis_testing 3.2210350036621094 wall_clock_time_millis_testing 2.9761791229248047 wall_clock_time_millis_testing 2.5305747985839844 wall_clock_time_millis_testing 3.093719482421875 wall_clock_time_millis_testing 3.006458282470703 wall_clock_time_millis_testing 2.99072265625 wall_clock_time_millis_testing 3.0755996704101562 wall_clock_time_millis_testing 3.009319305419922 wall_clock_time_millis_testing 2.522706985473633 wall_clock_time_millis_testing 2.465486526489258 wall_clock_time_millis_training 56.21695518493652 wall_clock_time_millis_training 76.56073570251465 wall_clock_time_millis_training 48.19893836975098 wall_clock_time_millis_training 57.820796966552734 wall_clock_time_millis_training 73.93932342529297 wall_clock_time_millis_training 80.92832565307617 wall_clock_time_millis_training 70.07241249084473 wall_clock_time_millis_training 74.23949241638184 wall_clock_time_millis_training 71.84338569641113 wall_clock_time_millis_training 67.42405891418457