10329025 8323 Heinrich Peters 9946 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8184647 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 363.6635002375271 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.5399612747801303 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 2.353046556401698 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 26522 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. 1510 wdbc https://www.openml.org/data/download/1592318/phpAmSP4g -1 21579738 description https://api.openml.org/data/download/21579738/description.xml -1 21579739 predictions https://api.openml.org/data/download/21579739/predictions.arff area_under_roc_curve 0.4539797050895831 [0.45398,0.45398] average_cost 0 f_measure 0.48983800376360576 [0.594972,0.312796] kappa -0.09221726525370988 kb_relative_information_score -0.12146325111504666 mean_absolute_error 0.5096660808435852 mean_prior_absolute_error 0.46764379083961705 number_of_instances 569 [357,212] precision 0.4893531492128455 [0.593315,0.314286] predictive_accuracy 0.4903339191564147 prior_entropy 0.9526357368194003 recall 0.4903339191564148 [0.596639,0.311321] relative_absolute_error 1.0898596128658535 root_mean_prior_squared_error 0.4834927399189952 root_mean_squared_error 0.7139090144014049 root_relative_squared_error 1.4765661517916768 total_cost 0 area_under_roc_curve 0.382936507936508 [0.382937,0.382937] area_under_roc_curve 0.4662698412698412 [0.46627,0.46627] area_under_roc_curve 0.47619047619047616 [0.47619,0.47619] area_under_roc_curve 0.4226190476190476 [0.422619,0.422619] area_under_roc_curve 0.5416666666666666 [0.541667,0.541667] area_under_roc_curve 0.3968253968253968 [0.396825,0.396825] area_under_roc_curve 0.39285714285714285 [0.392857,0.392857] area_under_roc_curve 0.4707792207792208 [0.470779,0.470779] area_under_roc_curve 0.5214285714285715 [0.521429,0.521429] area_under_roc_curve 0.4666666666666667 [0.466667,0.466667] 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 0.42370748357956795 [0.535211,0.232558] f_measure 0.5096894570578782 [0.649351,0.27027] f_measure 0.5175708502024291 [0.64,0.307692] f_measure 0.4307828394515701 [0.47619,0.352941] f_measure 0.5823280560122664 [0.701299,0.378378] f_measure 0.43859649122807015 [0.555556,0.238095] f_measure 0.427765064836003 [0.521739,0.266667] f_measure 0.5030389240915556 [0.649351,0.27027] f_measure 0.5322647277534496 [0.584615,0.44898] f_measure 0.5 [0.6,0.333333] kappa -0.23182711198428307 kappa -0.07098121085594997 kappa -0.049079754601227016 kappa -0.14207650273224048 kappa 0.08768267223382038 kappa -0.20634920634920642 kappa -0.20809248554913307 kappa -0.062111801242236184 kappa 0.04112149532710264 kappa -0.06666666666666667 kb_relative_information_score -0.278092342941245 kb_relative_information_score -0.04571191695192759 kb_relative_information_score -0.04571191695192759 kb_relative_information_score -0.27809234294124485 kb_relative_information_score 0.10920836704095065 kb_relative_information_score -0.23936227194302542 kb_relative_information_score -0.27809234294124496 kb_relative_information_score -0.031435878495213225 kb_relative_information_score -0.03143587849521312 kb_relative_information_score -0.09810746010620447 mean_absolute_error 0.5789473684210527 mean_absolute_error 0.47368421052631576 mean_absolute_error 0.47368421052631576 mean_absolute_error 0.5789473684210527 mean_absolute_error 0.40350877192982454 mean_absolute_error 0.5614035087719298 mean_absolute_error 0.5789473684210527 mean_absolute_error 0.47368421052631576 mean_absolute_error 0.47368421052631576 mean_absolute_error 0.5 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4665867821919071 mean_prior_absolute_error 0.4710418778996528 mean_prior_absolute_error 0.4710418778996528 mean_prior_absolute_error 0.4682574430823117 number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [36,21] number_of_instances 57 [35,22] number_of_instances 57 [35,22] number_of_instances 56 [35,21] precision 0.4265892002734108 [0.542857,0.227273] precision 0.5002406931964056 [0.609756,0.3125] precision 0.5114709851551956 [0.615385,0.333333] precision 0.4614035087719298 [0.555556,0.3] precision 0.5771020539152759 [0.658537,0.4375] precision 0.43859649122807015 [0.555556,0.238095] precision 0.43660287081339705 [0.545455,0.25] precision 0.4941520467836257 [0.595238,0.333333] precision 0.546133853151397 [0.633333,0.407407] precision 0.5 [0.6,0.333333] predictive_accuracy 0.4210526315789474 predictive_accuracy 0.5263157894736842 predictive_accuracy 0.5263157894736842 predictive_accuracy 0.4210526315789474 predictive_accuracy 0.5964912280701754 predictive_accuracy 0.4385964912280702 predictive_accuracy 0.4210526315789474 predictive_accuracy 0.5263157894736842 predictive_accuracy 0.5263157894736842 predictive_accuracy 0.5 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9495176370074769 prior_entropy 0.9626598502888526 prior_entropy 0.9626598502888526 prior_entropy 0.9544459669879928 recall 0.42105263157894735 [0.527778,0.238095] recall 0.5263157894736842 [0.694444,0.238095] recall 0.5263157894736842 [0.666667,0.285714] recall 0.42105263157894735 [0.416667,0.428571] recall 0.5964912280701754 [0.75,0.333333] recall 0.43859649122807015 [0.555556,0.238095] recall 0.42105263157894735 [0.5,0.285714] recall 0.5263157894736842 [0.714286,0.227273] recall 0.5263157894736842 [0.542857,0.5] recall 0.5 [0.6,0.333333] relative_absolute_error 1.2408139075464244 relative_absolute_error 1.0152113789016197 relative_absolute_error 1.0152113789016197 relative_absolute_error 1.2408139075464244 relative_absolute_error 0.8648096931384168 relative_absolute_error 1.2032134861056236 relative_absolute_error 1.2408139075464244 relative_absolute_error 1.005609549279238 relative_absolute_error 1.005609549279238 relative_absolute_error 1.0677886863020103 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4823984047513734 root_mean_prior_squared_error 0.4869941648669064 root_mean_prior_squared_error 0.4869941648669064 root_mean_prior_squared_error 0.4841269273621067 root_mean_squared_error 0.7608859102526822 root_mean_squared_error 0.6882472016116853 root_mean_squared_error 0.6882472016116853 root_mean_squared_error 0.7608859102526822 root_mean_squared_error 0.6352234031660235 root_mean_squared_error 0.7492686492653552 root_mean_squared_error 0.7608859102526822 root_mean_squared_error 0.6882472016116853 root_mean_squared_error 0.6882472016116853 root_mean_squared_error 0.7071067811865476 root_relative_squared_error 1.5772977330736413 root_relative_squared_error 1.4267194808954762 root_relative_squared_error 1.4267194808954762 root_relative_squared_error 1.5772977330736413 root_relative_squared_error 1.3168024539662722 root_relative_squared_error 1.5532154374588487 root_relative_squared_error 1.5772977330736413 root_relative_squared_error 1.4132555403405718 root_relative_squared_error 1.4132555403405718 root_relative_squared_error 1.4605813914119699 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 26.739899010863155 usercpu_time_millis 27.322088993969373 usercpu_time_millis 26.80081299331505 usercpu_time_millis 26.261562015861273 usercpu_time_millis 25.501145006273873 usercpu_time_millis 24.609446991235018 usercpu_time_millis 25.130905021796934 usercpu_time_millis 25.675538010546006 usercpu_time_millis 24.73544399254024 usercpu_time_millis 24.996707012178376 usercpu_time_millis_testing 1.756597004714422 usercpu_time_millis_testing 1.7601959989406168 usercpu_time_millis_testing 1.7771709972294047 usercpu_time_millis_testing 2.0067410077899694 usercpu_time_millis_testing 1.7476030043326318 usercpu_time_millis_testing 1.8020429997704923 usercpu_time_millis_testing 1.742201013257727 usercpu_time_millis_testing 1.7227860080311075 usercpu_time_millis_testing 1.7349029949400574 usercpu_time_millis_testing 1.6914209991227835 usercpu_time_millis_training 24.983302006148733 usercpu_time_millis_training 25.561892995028757 usercpu_time_millis_training 25.023641996085644 usercpu_time_millis_training 24.254821008071303 usercpu_time_millis_training 23.75354200194124 usercpu_time_millis_training 22.807403991464525 usercpu_time_millis_training 23.388704008539207 usercpu_time_millis_training 23.9527520025149 usercpu_time_millis_training 23.000540997600183 usercpu_time_millis_training 23.305286013055593 wall_clock_time_millis 26.75604820251465 wall_clock_time_millis 27.367353439331055 wall_clock_time_millis 58.69174003601074 wall_clock_time_millis 42.27328300476074 wall_clock_time_millis 25.533199310302734 wall_clock_time_millis 24.62601661682129 wall_clock_time_millis 25.14791488647461 wall_clock_time_millis 25.692462921142578 wall_clock_time_millis 24.75261688232422 wall_clock_time_millis 25.013208389282227 wall_clock_time_millis_testing 1.7647743225097656 wall_clock_time_millis_testing 1.7685890197753906 wall_clock_time_millis_testing 1.7857551574707031 wall_clock_time_millis_testing 2.015829086303711 wall_clock_time_millis_testing 1.7552375793457031 wall_clock_time_millis_testing 1.8115043640136719 wall_clock_time_millis_testing 1.7521381378173828 wall_clock_time_millis_testing 1.7321109771728516 wall_clock_time_millis_testing 1.7430782318115234 wall_clock_time_millis_testing 1.6989707946777344 wall_clock_time_millis_training 24.991273880004883 wall_clock_time_millis_training 25.598764419555664 wall_clock_time_millis_training 56.90598487854004 wall_clock_time_millis_training 40.25745391845703 wall_clock_time_millis_training 23.77796173095703 wall_clock_time_millis_training 22.814512252807617 wall_clock_time_millis_training 23.395776748657227 wall_clock_time_millis_training 23.960351943969727 wall_clock_time_millis_training 23.009538650512695 wall_clock_time_millis_training 23.314237594604492