10398475 8323 Heinrich Peters 7592 Supervised Classification 16374 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)(2) 8236247 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 18251.600704338267 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 9.624749700615554e-05 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 1 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 categorical_features null 16348 categories null 16348 drop null 16348 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 16348 handle_unknown "ignore" 16348 n_values null 16348 sparse true 16348 memory null 16374 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"}}] 16374 verbose false 16374 n_jobs null 16375 remainder "drop" 16375 sparse_threshold 0.3 16375 transformer_weights null 16375 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, true, false, true, false, false, false, false, false, true, true, true, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, false, true, false, true, true, true, true, true, false, false, false, true]}}] 16375 verbose false 16375 memory null 16376 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 16376 verbose false 16376 memory null 16377 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 16377 verbose false 16377 openml-python Sklearn_0.21.2. 1590 adult https://www.openml.org/data/download/1595261/phpMawTba -1 21718702 description https://api.openml.org/data/download/21718702/description.xml -1 21718703 predictions https://api.openml.org/data/download/21718703/predictions.arff area_under_roc_curve 0.7557540956618926 [0.755754,0.755754] average_cost 0 f_measure 0.8448120815646131 [0.648927,0.906427] kappa 0.557568820111463 kb_relative_information_score 0.5425285213885384 mean_absolute_error 0.14776217190123256 mean_prior_absolute_error 0.3640575712202595 number_of_instances 48842 [11687,37155] precision 0.8451717272600856 [0.751973,0.874487] predictive_accuracy 0.8522378280987675 prior_entropy 0.7938438398153179 recall 0.8522378280987675 [0.57072,0.940789] relative_absolute_error 0.4058758382800795 root_mean_prior_squared_error 0.426645054364785 root_mean_squared_error 0.3843984546030753 root_relative_squared_error 0.900979516041481 total_cost 0 area_under_roc_curve 0.7495284304526423 [0.749528,0.749528] area_under_roc_curve 0.7582511434151533 [0.758251,0.758251] area_under_roc_curve 0.7548162702567204 [0.754816,0.754816] area_under_roc_curve 0.758191622307091 [0.758192,0.758192] area_under_roc_curve 0.7546204307179616 [0.75462,0.75462] area_under_roc_curve 0.7506252252272997 [0.750625,0.750625] area_under_roc_curve 0.7475502753385749 [0.74755,0.74755] area_under_roc_curve 0.7593438387597042 [0.759344,0.759344] area_under_roc_curve 0.7606509342399608 [0.760651,0.760651] area_under_roc_curve 0.7639620202010898 [0.763962,0.763962] 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 0.843399177511581 [0.641509,0.906911] f_measure 0.8462436773310726 [0.652764,0.907109] f_measure 0.8458096568520372 [0.648968,0.90768] f_measure 0.8446786416609517 [0.650962,0.905567] f_measure 0.8445335242655513 [0.647461,0.906477] f_measure 0.8388801051676903 [0.638155,0.902042] f_measure 0.8400240958298157 [0.63623,0.904152] f_measure 0.8473777698346903 [0.655005,0.907912] f_measure 0.8478086895381941 [0.656659,0.907958] f_measure 0.8492749430669883 [0.661213,0.908453] kappa 0.5514347342797331 kappa 0.5619731708160112 kappa 0.559203547429681 kappa 0.5583387143062131 kappa 0.5562655031892276 kappa 0.5420878288426799 kappa 0.5430109943727521 kappa 0.5650656796428853 kappa 0.5666469602078038 kappa 0.5714780319827113 kb_relative_information_score 0.5424346829216679 kb_relative_information_score 0.5462371647810442 kb_relative_information_score 0.5472638031192179 kb_relative_information_score 0.5396547914069355 kb_relative_information_score 0.5421911286443626 kb_relative_information_score 0.5227399668387599 kb_relative_information_score 0.5303457044190193 kb_relative_information_score 0.5499938598346877 kb_relative_information_score 0.5506276712997084 kb_relative_information_score 0.5537967286248169 mean_absolute_error 0.14779938587512795 mean_absolute_error 0.1465711361310133 mean_absolute_error 0.14619164619164618 mean_absolute_error 0.14864864864864866 mean_absolute_error 0.14782964782964783 mean_absolute_error 0.1541769041769042 mean_absolute_error 0.1517199017199017 mean_absolute_error 0.14537264537264538 mean_absolute_error 0.14516789516789516 mean_absolute_error 0.14414414414414414 mean_prior_absolute_error 0.3640691602542745 mean_prior_absolute_error 0.3640691602542745 mean_prior_absolute_error 0.36398794846096894 mean_prior_absolute_error 0.36398794846096894 mean_prior_absolute_error 0.36398794846096894 mean_prior_absolute_error 0.36409470831304036 mean_prior_absolute_error 0.36409470831304036 mean_prior_absolute_error 0.36409470831304036 mean_prior_absolute_error 0.36409470831304036 mean_prior_absolute_error 0.36409470831304036 number_of_instances 4885 [1169,3716] number_of_instances 4885 [1169,3716] number_of_instances 4884 [1168,3716] number_of_instances 4884 [1168,3716] number_of_instances 4884 [1168,3716] number_of_instances 4884 [1169,3715] number_of_instances 4884 [1169,3715] number_of_instances 4884 [1169,3715] number_of_instances 4884 [1169,3715] number_of_instances 4884 [1169,3715] precision 0.8451669612643918 [0.764497,0.870545] precision 0.8465295935422017 [0.753639,0.875752] precision 0.8469172487728708 [0.762125,0.873569] precision 0.8443244484745519 [0.742325,0.876385] precision 0.8450666450666451 [0.753409,0.873876] precision 0.8382041379835148 [0.72807,0.87286] precision 0.8406549408690039 [0.746544,0.870269] precision 0.8478658540694748 [0.758155,0.876095] precision 0.8481141911863764 [0.756696,0.876881] precision 0.8493097244451626 [0.755776,0.878742] predictive_accuracy 0.8522006141248721 predictive_accuracy 0.8534288638689866 predictive_accuracy 0.8538083538083537 predictive_accuracy 0.8513513513513513 predictive_accuracy 0.8521703521703522 predictive_accuracy 0.8458230958230958 predictive_accuracy 0.8482800982800982 predictive_accuracy 0.8546273546273546 predictive_accuracy 0.8548321048321048 predictive_accuracy 0.8558558558558559 prior_entropy 0.7938809255859894 prior_entropy 0.7938809255859894 prior_entropy 0.7936210418137764 prior_entropy 0.7936210418137764 prior_entropy 0.7936210418137764 prior_entropy 0.7939626812721351 prior_entropy 0.7939626812721351 prior_entropy 0.7939626812721351 prior_entropy 0.7939626812721351 prior_entropy 0.7939626812721351 recall 0.852200614124872 [0.552609,0.946448] recall 0.8534288638689866 [0.575706,0.940797] recall 0.8538083538083538 [0.565068,0.944564] recall 0.8513513513513513 [0.579623,0.93676] recall 0.8521703521703522 [0.567637,0.941604] recall 0.8458230958230958 [0.568007,0.933244] recall 0.8482800982800983 [0.55432,0.940781] recall 0.8546273546273546 [0.576561,0.942127] recall 0.8548321048321048 [0.579983,0.941319] recall 0.8558558558558559 [0.587682,0.940242] relative_absolute_error 0.40596513522843125 relative_absolute_error 0.4025914637445384 relative_absolute_error 0.40163869932996576 relative_absolute_error 0.4083889295708056 relative_absolute_error 0.4061388528238589 relative_absolute_error 0.4234527463781385 relative_absolute_error 0.4167044954398414 relative_absolute_error 0.3992715138492408 relative_absolute_error 0.3987091596043827 relative_absolute_error 0.39589738838009225 root_mean_prior_squared_error 0.426658635735979 root_mean_prior_squared_error 0.426658635735979 root_mean_prior_squared_error 0.42656345325728656 root_mean_prior_squared_error 0.42656345325728656 root_mean_prior_squared_error 0.42656345325728656 root_mean_prior_squared_error 0.42668857438048746 root_mean_prior_squared_error 0.42668857438048746 root_mean_prior_squared_error 0.42668857438048746 root_mean_prior_squared_error 0.42668857438048746 root_mean_prior_squared_error 0.42668857438048746 root_mean_squared_error 0.3844468570233446 root_mean_squared_error 0.3828460997986179 root_mean_squared_error 0.3823501617518243 root_mean_squared_error 0.3855498004780299 root_mean_squared_error 0.3844862127952676 root_mean_squared_error 0.39265366950648023 root_mean_squared_error 0.389512389687288 root_mean_squared_error 0.3812776486664874 root_mean_squared_error 0.3810090486693133 root_mean_squared_error 0.3796631983009996 root_relative_squared_error 0.9010642814253137 root_relative_squared_error 0.8973124360607744 root_relative_squared_error 0.8963500244386983 root_relative_squared_error 0.9038509922355706 root_relative_squared_error 0.9013576054378021 root_relative_squared_error 0.920234787342448 root_relative_squared_error 0.9128727907767958 root_relative_squared_error 0.8935736074491036 root_relative_squared_error 0.8929441085281071 root_relative_squared_error 0.8897899336822779 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 270138.45325808506 usercpu_time_millis 334737.3975078808 usercpu_time_millis 326891.8997369474 usercpu_time_millis 320547.23095695954 usercpu_time_millis 326422.31990303844 usercpu_time_millis 264110.42571498547 usercpu_time_millis 222128.044269979 usercpu_time_millis 318807.7889250126 usercpu_time_millis 241583.98680598475 usercpu_time_millis 323545.7770290086 usercpu_time_millis_testing 5419.226522091776 usercpu_time_millis_testing 9054.662050912157 usercpu_time_millis_testing 8723.685101955198 usercpu_time_millis_testing 5400.878606946208 usercpu_time_millis_testing 8642.296559992246 usercpu_time_millis_testing 5333.78998900298 usercpu_time_millis_testing 5330.920257954858 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wall_clock_time_millis 323546.9858646393 wall_clock_time_millis_testing 5419.24786567688 wall_clock_time_millis_testing 9054.692506790161 wall_clock_time_millis_testing 8723.70958328247 wall_clock_time_millis_testing 5400.89750289917 wall_clock_time_millis_testing 8642.333030700684 wall_clock_time_millis_testing 5333.820104598999 wall_clock_time_millis_testing 5330.951690673828 wall_clock_time_millis_testing 5337.81623840332 wall_clock_time_millis_testing 5382.778882980347 wall_clock_time_millis_testing 9104.45761680603 wall_clock_time_millis_training 264740.0176525116 wall_clock_time_millis_training 325684.8440170288 wall_clock_time_millis_training 318172.93405532837 wall_clock_time_millis_training 315151.04055404663 wall_clock_time_millis_training 317783.94508361816 wall_clock_time_millis_training 258781.2693119049 wall_clock_time_millis_training 216821.14672660828 wall_clock_time_millis_training 313471.2932109833 wall_clock_time_millis_training 236202.17633247375 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