10559206 8323 Heinrich Peters 31 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) 8276040 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 690.6018801899403 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.6356144967116901 17495 decision_function_shape "ovr" 17495 degree 5 17495 gamma 0.0008714226148272087 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": [false, true, false, false, true, false, false, true, false, false, true, false, true, false, false, true, false, true, false, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [true, false, true, true, false, true, true, false, true, true, false, true, false, true, true, false, true, false, true, true]}}] 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. 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 22043377 description https://api.openml.org/data/download/22043377/description.xml -1 22043378 predictions https://api.openml.org/data/download/22043378/predictions.arff area_under_roc_curve 0.7919071428571427 [0.791907,0.791907] average_cost 0 f_measure 0.7318851936514639 [0.835208,0.490798] kappa 0.33706070287539946 kb_relative_information_score 0.21316883542432552 mean_absolute_error 0.3312532132204565 mean_prior_absolute_error 0.42015968063872167 weighted_recall 0.751 [0.901429,0.4] number_of_instances 1000 [700,300] precision 0.7351124420174975 [0.778052,0.634921] predictive_accuracy 0.7509999999999999 prior_entropy 0.8812914463598482 relative_absolute_error 0.7883983839593779 root_mean_prior_squared_error 0.45825774337365466 root_mean_squared_error 0.40228499083530717 root_relative_squared_error 0.8778574866487125 total_cost 0 unweighted_recall 0.6507142857142858 [0.901429,0.4] area_under_roc_curve 0.8304761904761905 [0.830476,0.830476] area_under_roc_curve 0.7614285714285716 [0.761429,0.761429] area_under_roc_curve 0.7519047619047619 [0.751905,0.751905] area_under_roc_curve 0.7961904761904762 [0.79619,0.79619] area_under_roc_curve 0.7414285714285714 [0.741429,0.741429] area_under_roc_curve 0.7871428571428573 [0.787143,0.787143] area_under_roc_curve 0.7995238095238096 [0.799524,0.799524] area_under_roc_curve 0.8380952380952381 [0.838095,0.838095] area_under_roc_curve 0.8085714285714286 [0.808571,0.808571] area_under_roc_curve 0.8176190476190476 [0.817619,0.817619] 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 0.7602875112309075 [0.843537,0.566038] f_measure 0.6912457413716487 [0.828025,0.372093] f_measure 0.68 [0.8,0.4] f_measure 0.8252037617554859 [0.882759,0.690909] f_measure 0.6769092542677448 [0.789116,0.415094] f_measure 0.7041301627033792 [0.823529,0.425532] f_measure 0.727027027027027 [0.824324,0.5] f_measure 0.7685352622061481 [0.873418,0.52381] f_measure 0.7260464469475734 [0.836601,0.468085] f_measure 0.7479627311917676 [0.849673,0.510638] kappa 0.41326530612244905 kappa 0.23295454545454536 kappa 0.2105263157894736 kappa 0.575 kappa 0.20918367346938765 kappa 0.2663043478260869 kappa 0.32989690721649484 kappa 0.42528735632183917 kappa 0.32065217391304346 kappa 0.37500000000000006 kb_relative_information_score 0.23694480716520017 kb_relative_information_score 0.19156005570897416 kb_relative_information_score 0.14950351109635193 kb_relative_information_score 0.22772288525232848 kb_relative_information_score 0.13291615360227005 kb_relative_information_score 0.22220573443697256 kb_relative_information_score 0.23831947675633303 kb_relative_information_score 0.27903394092180767 kb_relative_information_score 0.22584945688140554 kb_relative_information_score 0.22763233242157577 mean_absolute_error 0.32446141894589425 mean_absolute_error 0.33220712236925715 mean_absolute_error 0.3498747740575114 mean_absolute_error 0.3298496861992038 mean_absolute_error 0.35433136990154596 mean_absolute_error 0.3295650048401869 mean_absolute_error 0.3178159578037818 mean_absolute_error 0.31727339099932045 mean_absolute_error 0.3256831543527764 mean_absolute_error 0.3314702527350908 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] precision 0.7592885375494072 [0.805195,0.652174] precision 0.7076038903625111 [0.747126,0.615385] precision 0.675 [0.75,0.5] precision 0.8253333333333334 [0.853333,0.76] precision 0.6707509881422925 [0.753247,0.478261] precision 0.7077958894401135 [0.759036,0.588235] precision 0.7247086247086247 [0.782051,0.590909] precision 0.8238636363636362 [0.784091,0.916667] precision 0.7338766832034019 [0.771084,0.647059] precision 0.7599574769666902 [0.783133,0.705882] predictive_accuracy 0.77 predictive_accuracy 0.73 predictive_accuracy 0.7 predictive_accuracy 0.83 predictive_accuracy 0.69 predictive_accuracy 0.73 predictive_accuracy 0.74 predictive_accuracy 0.8 predictive_accuracy 0.75 predictive_accuracy 0.77 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 relative_absolute_error 0.7722335909353575 relative_absolute_error 0.7906687330498697 relative_absolute_error 0.8327185833862846 relative_absolute_error 0.7850579229729255 relative_absolute_error 0.8433254932098538 relative_absolute_error 0.7843803678144102 relative_absolute_error 0.7564170777182633 relative_absolute_error 0.7551257429485002 relative_absolute_error 0.7751413792434237 relative_absolute_error 0.7889149483148704 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_squared_error 0.3919050379089369 root_mean_squared_error 0.41948541730588623 root_mean_squared_error 0.4245912986961341 root_mean_squared_error 0.38865055597975523 root_mean_squared_error 0.42812536341056534 root_mean_squared_error 0.40406677891091536 root_mean_squared_error 0.3965634163199295 root_mean_squared_error 0.37831069626748964 root_mean_squared_error 0.39616103206780445 root_mean_squared_error 0.3918688056396711 root_relative_squared_error 0.8552065809597994 root_relative_squared_error 0.9153918801626125 root_relative_squared_error 0.9265338225827423 root_relative_squared_error 0.8481047218505077 root_relative_squared_error 0.9342457811159768 root_relative_squared_error 0.8817456655204765 root_relative_squared_error 0.8653719921903833 root_relative_squared_error 0.8255413066943461 root_relative_squared_error 0.8644939180979246 root_relative_squared_error 0.8551275156962229 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 0.6928571428571428 [0.885714,0.5] unweighted_recall 0.5976190476190476 [0.928571,0.266667] unweighted_recall 0.5952380952380952 [0.857143,0.333333] unweighted_recall 0.7738095238095237 [0.914286,0.633333] unweighted_recall 0.5976190476190476 [0.828571,0.366667] unweighted_recall 0.6166666666666667 [0.9,0.333333] unweighted_recall 0.6523809523809524 [0.871429,0.433333] unweighted_recall 0.6761904761904762 [0.985714,0.366667] unweighted_recall 0.6404761904761904 [0.914286,0.366667] unweighted_recall 0.6642857142857144 [0.928571,0.4] usercpu_time_millis 640.8020000000079 usercpu_time_millis 656.564000000003 usercpu_time_millis 538.880000000006 usercpu_time_millis 678.955999999971 usercpu_time_millis 570.7820000000083 usercpu_time_millis 575.5599999999959 usercpu_time_millis 588.9799999999923 usercpu_time_millis 585.0900000000081 usercpu_time_millis 571.3399999999922 usercpu_time_millis 659.782000000007 usercpu_time_millis_testing 15.826000000004115 usercpu_time_millis_testing 11.116000000015447 usercpu_time_millis_testing 9.264000000001715 usercpu_time_millis_testing 16.059999999981756 usercpu_time_millis_testing 9.471999999988157 usercpu_time_millis_testing 10.559999999998126 usercpu_time_millis_testing 10.702000000009093 usercpu_time_millis_testing 9.726000000000568 usercpu_time_millis_testing 10.21599999998557 usercpu_time_millis_testing 11.96200000001113 usercpu_time_millis_training 624.9760000000038 usercpu_time_millis_training 645.4479999999876 usercpu_time_millis_training 529.6160000000043 usercpu_time_millis_training 662.8959999999893 usercpu_time_millis_training 561.3100000000202 usercpu_time_millis_training 564.9999999999977 usercpu_time_millis_training 578.2779999999832 usercpu_time_millis_training 575.3640000000075 usercpu_time_millis_training 561.1240000000066 usercpu_time_millis_training 647.8199999999958 wall_clock_time_millis 344.06495094299316 wall_clock_time_millis 344.2530632019043 wall_clock_time_millis 270.5569267272949 wall_clock_time_millis 369.0361976623535 wall_clock_time_millis 292.4318313598633 wall_clock_time_millis 292.8342819213867 wall_clock_time_millis 303.9672374725342 wall_clock_time_millis 302.14381217956543 wall_clock_time_millis 290.60912132263184 wall_clock_time_millis 350.31986236572266 wall_clock_time_millis_testing 16.031980514526367 wall_clock_time_millis_testing 5.712985992431641 wall_clock_time_millis_testing 4.634857177734375 wall_clock_time_millis_testing 10.298967361450195 wall_clock_time_millis_testing 4.769802093505859 wall_clock_time_millis_testing 5.309104919433594 wall_clock_time_millis_testing 5.452156066894531 wall_clock_time_millis_testing 4.88591194152832 wall_clock_time_millis_testing 5.131959915161133 wall_clock_time_millis_testing 6.20579719543457 wall_clock_time_millis_training 328.0329704284668 wall_clock_time_millis_training 338.54007720947266 wall_clock_time_millis_training 265.92206954956055 wall_clock_time_millis_training 358.7372303009033 wall_clock_time_millis_training 287.6620292663574 wall_clock_time_millis_training 287.5251770019531 wall_clock_time_millis_training 298.51508140563965 wall_clock_time_millis_training 297.2579002380371 wall_clock_time_millis_training 285.4771614074707 wall_clock_time_millis_training 344.1140651702881 weighted_recall 0.77 [0.885714,0.5] weighted_recall 0.73 [0.928571,0.266667] weighted_recall 0.7 [0.857143,0.333333] weighted_recall 0.83 [0.914286,0.633333] weighted_recall 0.69 [0.828571,0.366667] weighted_recall 0.73 [0.9,0.333333] weighted_recall 0.74 [0.871429,0.433333] weighted_recall 0.8 [0.985714,0.366667] weighted_recall 0.75 [0.914286,0.366667] weighted_recall 0.77 [0.928571,0.4]