10370476 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) 8225823 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 76.79310542394987 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.6748640265730261 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.38325317111537943 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 62048 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 21662657 description https://api.openml.org/data/download/21662657/description.xml -1 21662658 predictions https://api.openml.org/data/download/21662658/predictions.arff area_under_roc_curve 0.527433806503574 [0.527434,0.527434] average_cost 0 f_measure 0.8795019473169234 [0.93617,0.12] kappa 0.05621889264254545 kb_relative_information_score -0.2881476506360463 mean_absolute_error 0.11902614968440037 mean_prior_absolute_error 0.12988972477049396 number_of_instances 1109 [1032,77] precision 0.8780484210527321 [0.934363,0.123288] predictive_accuracy 0.8809738503155997 prior_entropy 0.36380676688852276 recall 0.8809738503155996 [0.937984,0.116883] relative_absolute_error 0.9163630910351934 root_mean_prior_squared_error 0.25418837468358885 root_mean_squared_error 0.34500166620525236 root_relative_squared_error 1.3572676824213812 total_cost 0 area_under_roc_curve 0.6332417582417583 [0.633242,0.633242] area_under_roc_curve 0.4423076923076923 [0.442308,0.442308] area_under_roc_curve 0.533373786407767 [0.533374,0.533374] area_under_roc_curve 0.46116504854368934 [0.461165,0.461165] area_under_roc_curve 0.47572815533980584 [0.475728,0.475728] area_under_roc_curve 0.6055825242718448 [0.605583,0.605583] area_under_roc_curve 0.5236650485436893 [0.523665,0.523665] area_under_roc_curve 0.48058252427184467 [0.480583,0.480583] area_under_roc_curve 0.4660194174757281 [0.466019,0.466019] area_under_roc_curve 0.6754507628294035 [0.675451,0.675451] 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 0.9287857439516207 [0.966825,0.363636] f_measure 0.8492433320019528 [0.906404,0] f_measure 0.8792618705662184 [0.937198,0.133333] f_measure 0.8558558558558559 [0.92233,0] f_measure 0.8702099228415019 [0.937799,0] f_measure 0.903908028908029 [0.951923,0.285714] f_measure 0.8685098297723834 [0.926829,0.117647] f_measure 0.8749034749034749 [0.942857,0] f_measure 0.8606867737302519 [0.927536,0] f_measure 0.9019501950195019 [0.940594,0.333333] kappa 0.33304721030042866 kappa -0.08655332302936684 kappa 0.07083065035415313 kappa -0.07766990291262084 kappa -0.05869405722670645 kappa 0.23868312757201662 kappa 0.044750430292598994 kappa -0.050473186119873475 kappa -0.07211848036059194 kappa 0.2771084337349394 kb_relative_information_score 0.26986605938959674 kb_relative_information_score -0.9817921245139515 kb_relative_information_score -0.23410660582496345 kb_relative_information_score -0.5189004379384153 kb_relative_information_score -0.23410660582496312 kb_relative_information_score 0.05068722628848972 kb_relative_information_score -0.4239691605672651 kb_relative_information_score -0.13917532845381178 kb_relative_information_score -0.42396916056726475 kb_relative_information_score -0.25515016771492294 mean_absolute_error 0.06306306306306306 mean_absolute_error 0.17117117117117117 mean_absolute_error 0.11711711711711711 mean_absolute_error 0.14414414414414414 mean_absolute_error 0.11711711711711711 mean_absolute_error 0.09009009009009009 mean_absolute_error 0.13513513513513514 mean_absolute_error 0.10810810810810811 mean_absolute_error 0.13513513513513514 mean_absolute_error 0.10909090909090909 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 0.9246863686116022 [0.953271,0.5] precision 0.8706888706888707 [0.929293,0] precision 0.8757672507672507 [0.932692,0.142857] precision 0.8558558558558559 [0.92233,0] precision 0.8578956314805372 [0.924528,0] precision 0.898927498927499 [0.942857,0.333333] precision 0.8722546075487252 [0.931373,0.111111] precision 0.8585501389239707 [0.925234,0] precision 0.8565488565488566 [0.923077,0] precision 0.9158861340679522 [0.959596,0.272727] predictive_accuracy 0.9369369369369369 predictive_accuracy 0.8288288288288288 predictive_accuracy 0.8828828828828829 predictive_accuracy 0.8558558558558559 predictive_accuracy 0.8828828828828829 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.8648648648648648 predictive_accuracy 0.8918918918918919 predictive_accuracy 0.8648648648648648 predictive_accuracy 0.890909090909091 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 0.9369369369369369 [0.980769,0.285714] recall 0.8288288288288288 [0.884615,0] recall 0.8828828828828829 [0.941748,0.125] recall 0.8558558558558559 [0.92233,0] recall 0.8828828828828829 [0.951456,0] recall 0.9099099099099099 [0.961165,0.25] recall 0.8648648648648649 [0.92233,0.125] recall 0.8918918918918919 [0.961165,0] recall 0.8648648648648649 [0.932039,0] recall 0.8909090909090909 [0.92233,0.428571] relative_absolute_error 0.5068760998500949 relative_absolute_error 1.3758065567359716 relative_absolute_error 0.8861823536630264 relative_absolute_error 1.0906859737391095 relative_absolute_error 0.8861823536630264 relative_absolute_error 0.6816787335869435 relative_absolute_error 1.0225181003804151 relative_absolute_error 0.8180144803043321 relative_absolute_error 1.0225181003804151 relative_absolute_error 0.873370455289879 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 0.2511236011669613 root_mean_squared_error 0.4137283784938751 root_mean_squared_error 0.34222378222022665 root_mean_squared_error 0.3796631983009996 root_mean_squared_error 0.34222378222022665 root_mean_squared_error 0.3001501125938321 root_mean_squared_error 0.36760731104690386 root_mean_squared_error 0.3287979746107146 root_mean_squared_error 0.36760731104690386 root_mean_squared_error 0.3302891295379082 root_relative_squared_error 1.032659959452061 root_relative_squared_error 1.7013165173415856 root_relative_squared_error 1.3232998577504367 root_relative_squared_error 1.4680693815179702 root_relative_squared_error 1.3232998577504367 root_relative_squared_error 1.1606107521878715 root_relative_squared_error 1.42145206642403 root_relative_squared_error 1.2713853789126714 root_relative_squared_error 1.42145206642403 root_relative_squared_error 1.3525771814423129 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 53.5141129994372 usercpu_time_millis 38.19804700015084 usercpu_time_millis 42.87672700047551 usercpu_time_millis 41.02909499943053 usercpu_time_millis 39.65120199973171 usercpu_time_millis 35.451044000183174 usercpu_time_millis 32.533073000195145 usercpu_time_millis 43.32478300057119 usercpu_time_millis 40.827200000421726 usercpu_time_millis 41.751513999770395 usercpu_time_millis_testing 1.4607159992010565 usercpu_time_millis_testing 1.4096240001890692 usercpu_time_millis_testing 1.3513540006897529 usercpu_time_millis_testing 1.329384999735339 usercpu_time_millis_testing 1.370566999867151 usercpu_time_millis_testing 1.3562730000558076 usercpu_time_millis_testing 1.2975230001757154 usercpu_time_millis_testing 1.336189000539889 usercpu_time_millis_testing 1.326780000454164 usercpu_time_millis_testing 1.3619739993373514 usercpu_time_millis_training 52.053397000236146 usercpu_time_millis_training 36.78842299996177 usercpu_time_millis_training 41.52537299978576 usercpu_time_millis_training 39.69970999969519 usercpu_time_millis_training 38.28063499986456 usercpu_time_millis_training 34.094771000127366 usercpu_time_millis_training 31.23555000001943 usercpu_time_millis_training 41.9885940000313 usercpu_time_millis_training 39.50041999996756 usercpu_time_millis_training 40.389540000433044 wall_clock_time_millis 53.52187156677246 wall_clock_time_millis 38.207292556762695 wall_clock_time_millis 42.884111404418945 wall_clock_time_millis 41.037797927856445 wall_clock_time_millis 39.65902328491211 wall_clock_time_millis 35.45808792114258 wall_clock_time_millis 32.540082931518555 wall_clock_time_millis 43.33209991455078 wall_clock_time_millis 40.83442687988281 wall_clock_time_millis 41.759490966796875 wall_clock_time_millis_testing 1.463174819946289 wall_clock_time_millis_testing 1.413106918334961 wall_clock_time_millis_testing 1.3544559478759766 wall_clock_time_millis_testing 1.3325214385986328 wall_clock_time_millis_testing 1.3740062713623047 wall_clock_time_millis_testing 1.3592243194580078 wall_clock_time_millis_testing 1.3000965118408203 wall_clock_time_millis_testing 1.338958740234375 wall_clock_time_millis_testing 1.3301372528076172 wall_clock_time_millis_testing 1.3651847839355469 wall_clock_time_millis_training 52.05869674682617 wall_clock_time_millis_training 36.794185638427734 wall_clock_time_millis_training 41.52965545654297 wall_clock_time_millis_training 39.70527648925781 wall_clock_time_millis_training 38.285017013549805 wall_clock_time_millis_training 34.09886360168457 wall_clock_time_millis_training 31.239986419677734 wall_clock_time_millis_training 41.993141174316406 wall_clock_time_millis_training 39.504289627075195 wall_clock_time_millis_training 40.39430618286133