10559524 8323 Heinrich Peters 9971 Supervised Classification 18298 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC)(4) 8276156 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 "most_frequent" 17407 verbose 0 17407 categorical_features null 17408 categories null 17408 drop null 17408 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 17408 handle_unknown "ignore" 17408 n_values null 17408 sparse true 17408 C 5.266616263789896 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.7111819894510212 17495 decision_function_shape "ovr" 17495 degree 2 17495 gamma 0.012541197776805249 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 memory null 18298 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 18298 verbose false 18298 n_jobs null 18299 remainder "drop" 18299 sparse_threshold 0.3 18299 transformer_weights null 18299 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, true, true, true, true, true, true, true, true]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, false, false, false, false, false, false, false, false]}}] 18299 verbose false 18299 memory null 18300 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 18300 verbose false 18300 memory null 18301 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 18301 verbose false 18301 openml-python Sklearn_0.21.2. 1480 ilpd https://www.openml.org/data/download/1590565/phpOJxGL9 -1 22044020 description https://api.openml.org/data/download/22044020/description.xml -1 22044021 predictions https://api.openml.org/data/download/22044021/predictions.arff area_under_roc_curve 0.6909546292031322 [0.690955,0.690955] average_cost 0 f_measure 0.5978537870996997 [0.828629,0.022989] kappa -0.000060542460445447264 kb_relative_information_score 0.03357206761142534 mean_absolute_error 0.3876450841076564 mean_prior_absolute_error 0.40910410344372566 weighted_recall 0.7084048027444254 [0.987981,0.011976] number_of_instances 583 [416,167] precision 0.5909907702360533 [0.713542,0.285714] predictive_accuracy 0.7084048027444254 prior_entropy 0.8640923064827097 relative_absolute_error 0.9475463111823297 root_mean_prior_squared_error 0.4521025039976148 root_mean_squared_error 0.43857375428138035 root_relative_squared_error 0.9700759239406781 total_cost 0 unweighted_recall 0.49997840856748044 [0.987981,0.011976] area_under_roc_curve 0.6050420168067228 [0.605042,0.605042] area_under_roc_curve 0.6330532212885154 [0.633053,0.633053] area_under_roc_curve 0.6834733893557423 [0.683473,0.683473] area_under_roc_curve 0.641319942611191 [0.64132,0.64132] area_under_roc_curve 0.6743185078909613 [0.674319,0.674319] area_under_roc_curve 0.7216642754662841 [0.721664,0.721664] area_under_roc_curve 0.8206599713055954 [0.82066,0.82066] area_under_roc_curve 0.7380952380952381 [0.738095,0.738095] area_under_roc_curve 0.7038690476190477 [0.703869,0.703869] area_under_roc_curve 0.7470238095238094 [0.747024,0.747024] 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 0.6299811676082863 [0.84,0.111111] f_measure 0.6036637931034483 [0.8125,0.1] f_measure 0.5684322787060079 [0.804124,0] f_measure 0.5770584095707247 [0.816327,0] kappa 0 kappa 0.08171206225680908 kappa 0 kappa 0.013232514177693862 kappa -0.06576402321083182 kappa -0.03366336633663333 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score -0.021639948104185597 kb_relative_information_score -0.00443508731062421 kb_relative_information_score 0.03456643942832347 kb_relative_information_score 0.02704787700261803 kb_relative_information_score 0.03394722168859853 kb_relative_information_score 0.04620654815442851 kb_relative_information_score 0.08944451360874472 kb_relative_information_score 0.05385861297835353 kb_relative_information_score 0.03770974408047811 kb_relative_information_score 0.040722547849867244 mean_absolute_error 0.40533474211988496 mean_absolute_error 0.399551849403526 mean_absolute_error 0.3920645373224211 mean_absolute_error 0.386423881900246 mean_absolute_error 0.3871836340913647 mean_absolute_error 0.38655504184935985 mean_absolute_error 0.3739842818833398 mean_absolute_error 0.3769517916872328 mean_absolute_error 0.3837637518847811 mean_absolute_error 0.3840508483047073 mean_prior_absolute_error 0.40982181660147726 mean_prior_absolute_error 0.40982181660147726 mean_prior_absolute_error 0.40982181660147726 mean_prior_absolute_error 0.41193633952254605 mean_prior_absolute_error 0.41193633952254605 mean_prior_absolute_error 0.41193633952254605 mean_prior_absolute_error 0.41193633952254605 mean_prior_absolute_error 0.40459770114942495 mean_prior_absolute_error 0.40459770114942495 mean_prior_absolute_error 0.40459770114942495 number_of_instances 59 [42,17] number_of_instances 59 [42,17] number_of_instances 59 [42,17] number_of_instances 58 [41,17] number_of_instances 58 [41,17] number_of_instances 58 [41,17] number_of_instances 58 [41,17] number_of_instances 58 [42,16] number_of_instances 58 [42,16] number_of_instances 58 [42,16] precision 0.8036236119228521 [0.724138,1] precision 0.5989550679205852 [0.709091,0.333333] precision 0.4923029556650246 [0.696429,0] precision 0.49606775559588623 [0.701754,0] predictive_accuracy 0.711864406779661 predictive_accuracy 0.728813559322034 predictive_accuracy 0.711864406779661 predictive_accuracy 0.6896551724137931 predictive_accuracy 0.6724137931034483 predictive_accuracy 0.6896551724137931 predictive_accuracy 0.7068965517241379 predictive_accuracy 0.7241379310344827 predictive_accuracy 0.7241379310344827 predictive_accuracy 0.7241379310344827 prior_entropy 0.866303894607806 prior_entropy 0.866303894607806 prior_entropy 0.866303894607806 prior_entropy 0.8728196644971457 prior_entropy 0.8728196644971457 prior_entropy 0.8728196644971457 prior_entropy 0.8728196644971457 prior_entropy 0.8502061101753194 prior_entropy 0.8502061101753194 prior_entropy 0.8502061101753194 relative_absolute_error 0.98905115760112 relative_absolute_error 0.9749404087778517 relative_absolute_error 0.9566707321091111 relative_absolute_error 0.9380669895453502 relative_absolute_error 0.9399113332417555 relative_absolute_error 0.938385388133991 relative_absolute_error 0.9078691195751399 relative_absolute_error 0.9316706214996954 relative_absolute_error 0.948507000397045 relative_absolute_error 0.9492165852985672 root_mean_prior_squared_error 0.4528955589080818 root_mean_prior_squared_error 0.4528955589080818 root_mean_prior_squared_error 0.4528955589080818 root_mean_prior_squared_error 0.4552240219932737 root_mean_prior_squared_error 0.4552240219932737 root_mean_prior_squared_error 0.4552240219932737 root_mean_prior_squared_error 0.4552240219932737 root_mean_prior_squared_error 0.44709089884117686 root_mean_prior_squared_error 0.44709089884117686 root_mean_prior_squared_error 0.44709089884117686 root_mean_squared_error 0.4502461255294739 root_mean_squared_error 0.44298761237006345 root_mean_squared_error 0.44042385896407044 root_mean_squared_error 0.44700341483692174 root_mean_squared_error 0.4466353702529685 root_mean_squared_error 0.4365524038504018 root_mean_squared_error 0.4292470629048328 root_mean_squared_error 0.4282808283023824 root_mean_squared_error 0.43246395142915056 root_mean_squared_error 0.4309139357090595 root_relative_squared_error 0.9941500124554199 root_relative_squared_error 0.9781231095268275 root_relative_squared_error 0.9724623046115084 root_relative_squared_error 0.9819416226754539 root_relative_squared_error 0.9811331315454348 root_relative_squared_error 0.9589836712458293 root_relative_squared_error 0.9429358780876796 root_relative_squared_error 0.9579278607827879 root_relative_squared_error 0.9672841754329194 root_relative_squared_error 0.9638172837468919 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 0.5 [1,0] unweighted_recall 0.5294117647058824 [1,0.058824] unweighted_recall 0.5 [1,0] unweighted_recall 0.5050215208034433 [0.95122,0.058824] unweighted_recall 0.47560975609756095 [0.95122,0] unweighted_recall 0.4878048780487805 [0.97561,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] usercpu_time_millis 64.20800000023519 usercpu_time_millis 59.43600000000515 usercpu_time_millis 62.25399999993897 usercpu_time_millis 64.4919999999729 usercpu_time_millis 61.50599999955375 usercpu_time_millis 69.9560000002748 usercpu_time_millis 78.11199999923701 usercpu_time_millis 65.04799999947863 usercpu_time_millis 70.59399999980087 usercpu_time_millis 75.72600000003149 usercpu_time_millis_testing 2.842000000327971 usercpu_time_millis_testing 2.7620000000752043 usercpu_time_millis_testing 2.767999999832682 usercpu_time_millis_testing 2.801999999974214 usercpu_time_millis_testing 3.0259999998634157 usercpu_time_millis_testing 2.7180000001862936 usercpu_time_millis_testing 2.941999999620748 usercpu_time_millis_testing 3.0319999996208935 usercpu_time_millis_testing 2.98800000018673 usercpu_time_millis_testing 2.7800000002571323 usercpu_time_millis_training 61.36599999990722 usercpu_time_millis_training 56.67399999992995 usercpu_time_millis_training 59.48600000010629 usercpu_time_millis_training 61.68999999999869 usercpu_time_millis_training 58.479999999690335 usercpu_time_millis_training 67.2380000000885 usercpu_time_millis_training 75.16999999961627 usercpu_time_millis_training 62.01599999985774 usercpu_time_millis_training 67.60599999961414 usercpu_time_millis_training 72.94599999977436 wall_clock_time_millis 32.22489356994629 wall_clock_time_millis 29.963970184326172 wall_clock_time_millis 31.177759170532227 wall_clock_time_millis 31.84223175048828 wall_clock_time_millis 30.87902069091797 wall_clock_time_millis 36.76605224609375 wall_clock_time_millis 39.23177719116211 wall_clock_time_millis 32.77945518493652 wall_clock_time_millis 35.938262939453125 wall_clock_time_millis 38.65408897399902 wall_clock_time_millis_testing 1.4238357543945312 wall_clock_time_millis_testing 1.4209747314453125 wall_clock_time_millis_testing 1.3890266418457031 wall_clock_time_millis_testing 1.4111995697021484 wall_clock_time_millis_testing 1.5289783477783203 wall_clock_time_millis_testing 1.363992691040039 wall_clock_time_millis_testing 1.4736652374267578 wall_clock_time_millis_testing 1.5201568603515625 wall_clock_time_millis_testing 1.50299072265625 wall_clock_time_millis_testing 1.3971328735351562 wall_clock_time_millis_training 30.801057815551758 wall_clock_time_millis_training 28.54299545288086 wall_clock_time_millis_training 29.788732528686523 wall_clock_time_millis_training 30.431032180786133 wall_clock_time_millis_training 29.35004234313965 wall_clock_time_millis_training 35.40205955505371 wall_clock_time_millis_training 37.75811195373535 wall_clock_time_millis_training 31.25929832458496 wall_clock_time_millis_training 34.435272216796875 wall_clock_time_millis_training 37.25695610046387 weighted_recall 0.711864406779661 [1,0] weighted_recall 0.7288135593220338 [1,0.058824] weighted_recall 0.711864406779661 [1,0] weighted_recall 0.6896551724137931 [0.95122,0.058824] weighted_recall 0.6724137931034483 [0.95122,0] weighted_recall 0.6896551724137931 [0.97561,0] weighted_recall 0.7068965517241379 [1,0] weighted_recall 0.7241379310344828 [1,0] weighted_recall 0.7241379310344828 [1,0] weighted_recall 0.7241379310344828 [1,0]