10370070 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) 8225417 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 9366.20074943413 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0015583202500353984 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 8741 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 21661845 description https://api.openml.org/data/download/21661845/description.xml -1 21661846 predictions https://api.openml.org/data/download/21661846/predictions.arff area_under_roc_curve 0.5386715997181113 [0.538672,0.538672] average_cost 0 f_measure 0.9036153597495619 [0.960377,0.142857] kappa 0.11656930430164597 kb_relative_information_score 0.18026967686796652 mean_absolute_error 0.0757439134355275 mean_prior_absolute_error 0.12988972477049396 number_of_instances 1109 [1032,77] precision 0.8938409448540462 [0.935662,0.333333] predictive_accuracy 0.9242560865644726 prior_entropy 0.36380676688852276 recall 0.9242560865644724 [0.986434,0.090909] relative_absolute_error 0.5831401488405775 root_mean_prior_squared_error 0.25418837468358885 root_mean_squared_error 0.27521612132200307 root_relative_squared_error 1.082725052491442 total_cost 0 area_under_roc_curve 0.5714285714285714 [0.571429,0.571429] area_under_roc_curve 0.4855769230769231 [0.485577,0.485577] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5527912621359223 [0.552791,0.552791] area_under_roc_curve 0.5576456310679612 [0.557646,0.557646] area_under_roc_curve 0.5527912621359223 [0.552791,0.552791] area_under_roc_curve 0.5625 [0.5625,0.5625] area_under_roc_curve 0.49514563106796117 [0.495146,0.495146] area_under_roc_curve 0.6104368932038835 [0.610437,0.610437] area_under_roc_curve 0.49029126213592233 [0.490291,0.490291] 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 0.926433442788583 [0.971963,0.25] f_measure 0.8927417984021758 [0.95283,0] f_measure 0.901452076807527 [0.957346,0.181818] f_measure 0.9073261941186469 [0.962264,0.2] f_measure 0.901452076807527 [0.957346,0.181818] f_measure 0.9134486599275331 [0.967136,0.222222] f_measure 0.8887197056211139 [0.957746,0] f_measure 0.9101453311979628 [0.956938,0.307692] f_measure 0.8964239551917278 [0.957346,0] kappa 0.23798627002288333 kappa -0.039325842696629136 kappa 0 kappa 0.14833759590792903 kappa 0.17625231910946135 kappa 0.14833759590792903 kappa 0.20956256358087416 kappa -0.016276703967446498 kappa 0.2670579603815115 kappa -0.029106029106028785 kb_relative_information_score 0.3741709080482253 kb_relative_information_score -0.04304848658629126 kb_relative_information_score 0.24054978103079175 kb_relative_information_score 0.14561850365964127 kb_relative_information_score 0.24054978103079208 kb_relative_information_score 0.14561850365964124 kb_relative_information_score 0.33548105840194276 kb_relative_information_score 0.14561850365964069 kb_relative_information_score 0.14561850365964124 kb_relative_information_score 0.05863737421380685 mean_absolute_error 0.05405405405405406 mean_absolute_error 0.09009009009009009 mean_absolute_error 0.07207207207207207 mean_absolute_error 0.08108108108108109 mean_absolute_error 0.07207207207207207 mean_absolute_error 0.08108108108108109 mean_absolute_error 0.06306306306306306 mean_absolute_error 0.08108108108108109 mean_absolute_error 0.08108108108108109 mean_absolute_error 0.08181818181818182 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 0.9488943488943489 [0.945455,1] precision 0.8762095428762096 [0.935185,0] precision 0.8918084751418085 [0.935185,0.333333] precision 0.9043722621704273 [0.93578,0.5] precision 0.8918084751418085 [0.935185,0.333333] precision 0.940950040950041 [0.936364,1] precision 0.8604422604422604 [0.927273,0] precision 0.9042325344212137 [0.943396,0.4] precision 0.8756734006734007 [0.935185,0] predictive_accuracy 0.9459459459459459 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.9369369369369369 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.9181818181818181 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 0.9459459459459459 [1,0.142857] recall 0.9099099099099099 [0.971154,0] recall 0.9279279279279279 [1,0] recall 0.918918918918919 [0.980583,0.125] recall 0.9279279279279279 [0.990291,0.125] recall 0.918918918918919 [0.980583,0.125] recall 0.9369369369369369 [1,0.125] recall 0.918918918918919 [0.990291,0] recall 0.918918918918919 [0.970874,0.25] recall 0.9181818181818182 [0.980583,0] relative_absolute_error 0.4344652284429384 relative_absolute_error 0.7241087140715641 relative_absolute_error 0.5453429868695547 relative_absolute_error 0.6135108602282492 relative_absolute_error 0.5453429868695547 relative_absolute_error 0.6135108602282492 relative_absolute_error 0.4771751135108604 relative_absolute_error 0.6135108602282492 relative_absolute_error 0.6135108602282492 relative_absolute_error 0.6550278414674093 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 0.23249527748763857 root_mean_squared_error 0.3001501125938321 root_mean_squared_error 0.2684624220856097 root_mean_squared_error 0.2847473987257497 root_mean_squared_error 0.2684624220856097 root_mean_squared_error 0.2847473987257497 root_mean_squared_error 0.2511236011669613 root_mean_squared_error 0.2847473987257497 root_mean_squared_error 0.2847473987257497 root_mean_squared_error 0.28603877677367767 root_relative_squared_error 0.9560573466910262 root_relative_squared_error 1.2342647272511982 root_relative_squared_error 1.0380818149236974 root_relative_squared_error 1.1010520361384777 root_relative_squared_error 1.0380818149236974 root_relative_squared_error 1.1010520361384777 root_relative_squared_error 0.9710366227212378 root_relative_squared_error 1.1010520361384777 root_relative_squared_error 1.1010520361384777 root_relative_squared_error 1.171366199708197 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 350.1950729996679 usercpu_time_millis 371.45404999955645 usercpu_time_millis 413.9575219996914 usercpu_time_millis 536.86038899923 usercpu_time_millis 370.46290499984025 usercpu_time_millis 370.74322599983134 usercpu_time_millis 344.7558759999083 usercpu_time_millis 387.0221710003534 usercpu_time_millis 378.19987000057154 usercpu_time_millis 478.99994700037496 usercpu_time_millis_testing 2.3793689997546608 usercpu_time_millis_testing 2.3636480000277516 usercpu_time_millis_testing 2.3754969997753506 usercpu_time_millis_testing 2.3308919999180944 usercpu_time_millis_testing 2.308303999598138 usercpu_time_millis_testing 2.3542879998785793 usercpu_time_millis_testing 2.3071200002959813 usercpu_time_millis_testing 2.339935000236437 usercpu_time_millis_testing 2.27856800029258 usercpu_time_millis_testing 2.362664000429504 usercpu_time_millis_training 347.81570399991324 usercpu_time_millis_training 369.0904019995287 usercpu_time_millis_training 411.58202499991603 usercpu_time_millis_training 534.529496999312 usercpu_time_millis_training 368.1546010002421 usercpu_time_millis_training 368.38893799995276 usercpu_time_millis_training 342.44875599961233 usercpu_time_millis_training 384.682236000117 usercpu_time_millis_training 375.92130200027896 usercpu_time_millis_training 476.63728299994546 wall_clock_time_millis 350.40974617004395 wall_clock_time_millis 371.4897632598877 wall_clock_time_millis 413.99359703063965 wall_clock_time_millis 537.1801853179932 wall_clock_time_millis 370.58258056640625 wall_clock_time_millis 370.94664573669434 wall_clock_time_millis 344.9263572692871 wall_clock_time_millis 387.29381561279297 wall_clock_time_millis 378.21102142333984 wall_clock_time_millis 479.19487953186035 wall_clock_time_millis_testing 2.3822784423828125 wall_clock_time_millis_testing 2.3660659790039062 wall_clock_time_millis_testing 2.378225326538086 wall_clock_time_millis_testing 2.3338794708251953 wall_clock_time_millis_testing 2.3114681243896484 wall_clock_time_millis_testing 2.3572444915771484 wall_clock_time_millis_testing 2.3109912872314453 wall_clock_time_millis_testing 2.3424625396728516 wall_clock_time_millis_testing 2.2814273834228516 wall_clock_time_millis_testing 2.3660659790039062 wall_clock_time_millis_training 348.02746772766113 wall_clock_time_millis_training 369.1236972808838 wall_clock_time_millis_training 411.61537170410156 wall_clock_time_millis_training 534.846305847168 wall_clock_time_millis_training 368.2711124420166 wall_clock_time_millis_training 368.5894012451172 wall_clock_time_millis_training 342.61536598205566 wall_clock_time_millis_training 384.9513530731201 wall_clock_time_millis_training 375.929594039917 wall_clock_time_millis_training 476.82881355285645