10559506 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) 8276138 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 0.04627508381299772 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.563230253602446 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 0.00011061707084433878 17495 kernel "sigmoid" 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 22043984 description https://api.openml.org/data/download/22043984/description.xml -1 22043985 predictions https://api.openml.org/data/download/22043985/predictions.arff area_under_roc_curve 0.5870566559189314 [0.587057,0.587057] average_cost 0 f_measure 0.5073969244389207 [0.525806,0.461538] kappa 0.10603342165105455 kb_relative_information_score -0.4219087647843843 mean_absolute_error 0.5278623948633191 mean_prior_absolute_error 0.40910410344372566 weighted_recall 0.4957118353344768 [0.391827,0.754491] number_of_instances 583 [416,167] precision 0.6653721196928832 [0.79902,0.332454] predictive_accuracy 0.4957118353344769 prior_entropy 0.8640923064827097 relative_absolute_error 1.2902886830513771 root_mean_prior_squared_error 0.4521025039976148 root_mean_squared_error 0.607155230386303 root_relative_squared_error 1.3429592294173762 total_cost 0 unweighted_recall 0.5731589705204975 [0.391827,0.754491] area_under_roc_curve 0.7815126050420167 [0.781513,0.781513] area_under_roc_curve 0.6386554621848739 [0.638655,0.638655] area_under_roc_curve 0.7352941176470589 [0.735294,0.735294] area_under_roc_curve 0.6714490674318508 [0.671449,0.671449] area_under_roc_curve 0.5839311334289815 [0.583931,0.583931] area_under_roc_curve 0.6154949784791965 [0.615495,0.615495] area_under_roc_curve 0.8134863701578192 [0.813486,0.813486] area_under_roc_curve 0.736607142857143 [0.736607,0.736607] area_under_roc_curve 0.8050595238095238 [0.80506,0.80506] area_under_roc_curve 0.6636904761904762 [0.66369,0.66369] 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 0.7728218852215284 [0.815789,0.666667] f_measure 0.6199551266455815 [0.828283,0.105263] f_measure 0.34536968803733725 [0.285714,0.492754] f_measure 0.532907824933687 [0.5625,0.461538] f_measure 0.23480494601184257 [0.136364,0.472222] f_measure 0.47828691224917635 [0.45283,0.539683] f_measure 0.31085192697768765 [0.25,0.470588] f_measure 0.22088392423506556 [0.133333,0.450704] f_measure 0.15460667245224152 [0.046512,0.438356] kappa 0.49262899262899257 kappa 0.04748338081671427 kappa 0.10334346504559278 kappa 0 kappa 0.11062431544359265 kappa 0.04423243712055513 kappa 0.19521531100478468 kappa 0.0842105263157894 kappa 0.04071246819338419 kappa 0.013278008298755174 kb_relative_information_score -0.15171815920396173 kb_relative_information_score -0.14304275005100364 kb_relative_information_score -0.47478724310219816 kb_relative_information_score 0.031243497825740207 kb_relative_information_score -0.3180503567632215 kb_relative_information_score -0.7005479073289668 kb_relative_information_score -0.32922097534683864 kb_relative_information_score -0.5875214841568783 kb_relative_information_score -0.7359746069972395 kb_relative_information_score -0.837448397299559 mean_absolute_error 0.4366779511584057 mean_absolute_error 0.4368700150032048 mean_absolute_error 0.54026393448906 mean_absolute_error 0.3857261112405192 mean_absolute_error 0.49019113348587207 mean_absolute_error 0.644956553160031 mean_absolute_error 0.4886949271208694 mean_absolute_error 0.5619367850470852 mean_absolute_error 0.6262493329581427 mean_absolute_error 0.669984365037923 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 0.8104087736789632 [0.911765,0.56] precision 0.6561106155218555 [0.719298,0.5] precision 0.8060625814863103 [1,0.326923] precision 0.6537159991432856 [0.782609,0.342857] precision 0.7974921630094043 [1,0.309091] precision 0.8152173913043478 [1,0.369565] precision 0.8090185676392573 [1,0.307692] precision 0.8043887147335423 [1,0.290909] precision 0.8015728977616455 [1,0.280702] predictive_accuracy 0.7627118644067796 predictive_accuracy 0.711864406779661 predictive_accuracy 0.4067796610169491 predictive_accuracy 0.7068965517241379 predictive_accuracy 0.5172413793103449 predictive_accuracy 0.3448275862068966 predictive_accuracy 0.5 predictive_accuracy 0.3793103448275862 predictive_accuracy 0.32758620689655177 predictive_accuracy 0.29310344827586204 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 1.0655312466760258 relative_absolute_error 1.0659998987511932 relative_absolute_error 1.3182898337850775 relative_absolute_error 0.9363731097081511 relative_absolute_error 1.1899681733687955 relative_absolute_error 1.5656704477870695 relative_absolute_error 1.186336043300502 relative_absolute_error 1.3888778494061491 relative_absolute_error 1.5478321581635925 relative_absolute_error 1.655927265860777 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 0.4507490209238032 root_mean_squared_error 0.45350576452430347 root_mean_squared_error 0.6240467699810546 root_mean_squared_error 0.44112396592648345 root_mean_squared_error 0.5172235805651489 root_mean_squared_error 0.783163248290492 root_mean_squared_error 0.5481867790387123 root_mean_squared_error 0.6130761608314652 root_mean_squared_error 0.7251468001765349 root_mean_squared_error 0.7846897545736434 root_relative_squared_error 0.9952604128213273 root_relative_squared_error 1.0013473429010715 root_relative_squared_error 1.3779043704593028 root_relative_squared_error 0.9690261159658253 root_relative_squared_error 1.1361957093134054 root_relative_squared_error 1.720390863516565 root_relative_squared_error 1.2042132061449344 root_relative_squared_error 1.371256186203988 root_relative_squared_error 1.6219225263946464 root_relative_squared_error 1.755101158640212 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 0.780812324929972 [0.738095,0.823529] unweighted_recall 0.5175070028011204 [0.97619,0.058824] unweighted_recall 0.5833333333333334 [0.166667,1] unweighted_recall 0.5 [1,0] unweighted_recall 0.5724533715925395 [0.439024,0.705882] unweighted_recall 0.5365853658536586 [0.073171,1] unweighted_recall 0.6463414634146342 [0.292683,1] unweighted_recall 0.5714285714285714 [0.142857,1] unweighted_recall 0.5357142857142857 [0.071429,1] unweighted_recall 0.5119047619047619 [0.02381,1] usercpu_time_millis 50.61200000000099 usercpu_time_millis 50.930000000334985 usercpu_time_millis 62.8380000002835 usercpu_time_millis 54.27800000006755 usercpu_time_millis 53.335999999490014 usercpu_time_millis 52.43599999948856 usercpu_time_millis 50.48999999962689 usercpu_time_millis 58.867999999620224 usercpu_time_millis 51.71599999994214 usercpu_time_millis 51.02200000010271 usercpu_time_millis_testing 3.0759999999645515 usercpu_time_millis_testing 2.858000000287575 usercpu_time_millis_testing 3.963999999996304 usercpu_time_millis_testing 3.9959999999155116 usercpu_time_millis_testing 2.7479999998831772 usercpu_time_millis_testing 2.8639999995903054 usercpu_time_millis_testing 2.939999999853171 usercpu_time_millis_testing 3.2159999996110855 usercpu_time_millis_testing 3.169999999954598 usercpu_time_millis_testing 2.9159999999137654 usercpu_time_millis_training 47.53600000003644 usercpu_time_millis_training 48.07200000004741 usercpu_time_millis_training 58.8740000002872 usercpu_time_millis_training 50.28200000015204 usercpu_time_millis_training 50.587999999606836 usercpu_time_millis_training 49.57199999989825 usercpu_time_millis_training 47.54999999977372 usercpu_time_millis_training 55.65200000000914 usercpu_time_millis_training 48.545999999987544 usercpu_time_millis_training 48.10600000018894 wall_clock_time_millis 25.461673736572266 wall_clock_time_millis 25.562286376953125 wall_clock_time_millis 32.57489204406738 wall_clock_time_millis 28.25331687927246 wall_clock_time_millis 26.973962783813477 wall_clock_time_millis 26.32880210876465 wall_clock_time_millis 25.285005569458008 wall_clock_time_millis 29.61277961730957 wall_clock_time_millis 25.99334716796875 wall_clock_time_millis 25.58732032775879 wall_clock_time_millis_testing 1.542806625366211 wall_clock_time_millis_testing 1.4331340789794922 wall_clock_time_millis_testing 3.0519962310791016 wall_clock_time_millis_testing 2.0890235900878906 wall_clock_time_millis_testing 1.377105712890625 wall_clock_time_millis_testing 1.4348030090332031 wall_clock_time_millis_testing 1.4727115631103516 wall_clock_time_millis_testing 1.6129016876220703 wall_clock_time_millis_testing 1.62506103515625 wall_clock_time_millis_testing 1.4619827270507812 wall_clock_time_millis_training 23.918867111206055 wall_clock_time_millis_training 24.129152297973633 wall_clock_time_millis_training 29.52289581298828 wall_clock_time_millis_training 26.16429328918457 wall_clock_time_millis_training 25.59685707092285 wall_clock_time_millis_training 24.893999099731445 wall_clock_time_millis_training 23.812294006347656 wall_clock_time_millis_training 27.9998779296875 wall_clock_time_millis_training 24.3682861328125 wall_clock_time_millis_training 24.125337600708008 weighted_recall 0.7627118644067796 [0.738095,0.823529] weighted_recall 0.711864406779661 [0.97619,0.058824] weighted_recall 0.4067796610169492 [0.166667,1] weighted_recall 0.7068965517241379 [1,0] weighted_recall 0.5172413793103449 [0.439024,0.705882] weighted_recall 0.3448275862068966 [0.073171,1] weighted_recall 0.5 [0.292683,1] weighted_recall 0.3793103448275862 [0.142857,1] weighted_recall 0.3275862068965517 [0.071429,1] weighted_recall 0.29310344827586204 [0.02381,1]