10591105 32117 VAIBHAV JAISWAL 146065 Supervised Classification precision 19159 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._stochastic_gradient.SGDClassifier)(1) 8304415 Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. copy true 19075 with_mean true 19075 with_std true 19075 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 memory null 19156 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}] 19156 verbose false 19156 memory null 19159 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}] 19159 verbose false 19159 alpha 0.0001 19160 average false 19160 class_weight null 19160 early_stopping false 19160 epsilon 0.1 19160 eta0 0.0 19160 fit_intercept true 19160 l1_ratio 0.15 19160 learning_rate "optimal" 19160 loss "hinge" 19160 max_iter 1000 19160 n_iter_no_change 5 19160 n_jobs null 19160 penalty "l2" 19160 power_t 0.5 19160 random_state 43217 19160 shuffle true 19160 tol 0.001 19160 validation_fraction 0.1 19160 verbose 0 19160 warm_start false 19160 openml-python Sklearn_1.0.2. 334 monks-problems-2 https://www.openml.org/data/download/52237/php4fATLZ -1 22109806 description https://api.openml.org/data/download/22109806/description.xml -1 22109807 predictions https://api.openml.org/data/download/22109807/predictions.arff area_under_roc_curve 0.4935111220351481 [0.493511,0.493511] average_cost 0 f_measure 0.5533560508451527 [0.695858,0.280112] kappa -0.01386327086546982 kb_relative_information_score 0.009059819471788376 mean_absolute_error 0.4276206322795341 mean_prior_absolute_error 0.4507164675789115 weighted_recall 0.5723793677204659 [0.744304,0.242718] number_of_instances 601 [395,206] precision 0.5428928239541897 [0.653333,0.331126] predictive_accuracy 0.5723793677204658 prior_entropy 0.9274381882789376 relative_absolute_error 0.9487575073006762 root_mean_prior_squared_error 0.47463301952307513 root_mean_squared_error 0.6539270848340311 root_relative_squared_error 1.377753038528832 total_cost 0 unweighted_recall 0.4935111220351481 [0.744304,0.242718] area_under_roc_curve 0.4869047619047619 [0.486905,0.486905] area_under_roc_curve 0.4375 [0.4375,0.4375] area_under_roc_curve 0.4625 [0.4625,0.4625] area_under_roc_curve 0.5125 [0.5125,0.5125] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5164835164835165 [0.516484,0.516484] area_under_roc_curve 0.4725274725274725 [0.472527,0.472527] area_under_roc_curve 0.6465201465201466 [0.64652,0.64652] area_under_roc_curve 0.3956043956043956 [0.395604,0.395604] area_under_roc_curve 0.4981684981684982 [0.498168,0.498168] 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 0.48741026465230897 [0.529412,0.407407] f_measure 0.5020703933747411 [0.717391,0.071429] f_measure 0.5321969696969697 [0.704545,0.1875] f_measure 0.5804035278482542 [0.741573,0.258065] f_measure 0.565826330532213 [0.705882,0.285714] f_measure 0.5715458276333789 [0.72093,0.294118] f_measure 0.5109656301145663 [0.744681,0.076923] f_measure 0.68147576412473 [0.759494,0.536585] f_measure 0.4502840909090909 [0.659091,0.0625] f_measure 0.5377990430622009 [0.631579,0.363636] kappa -0.023060796645702365 kappa -0.14705882352941183 kappa -0.08333333333333331 kappa 0.02816901408450722 kappa 0 kappa 0.03614457831325304 kappa -0.06666666666666672 kappa 0.2962962962962963 kappa -0.23456790123456783 kappa -0.0035842293906810864 kb_relative_information_score -0.21381349595942573 kb_relative_information_score -0.013824400970627109 kb_relative_information_score -0.013824400970627078 kb_relative_information_score 0.10315533760290689 kb_relative_information_score 0.02516884522055082 kb_relative_information_score 0.07978706645530244 kb_relative_information_score 0.07978706645530252 kb_relative_information_score 0.2714980942771146 kb_relative_information_score -0.1502661669308721 kb_relative_information_score -0.07358175580214717 mean_absolute_error 0.5245901639344263 mean_absolute_error 0.43333333333333335 mean_absolute_error 0.43333333333333335 mean_absolute_error 0.38333333333333336 mean_absolute_error 0.4166666666666667 mean_absolute_error 0.4 mean_absolute_error 0.4 mean_absolute_error 0.31666666666666665 mean_absolute_error 0.5 mean_absolute_error 0.4666666666666667 mean_prior_absolute_error 0.4511866895033036 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 number_of_instances 61 [40,21] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] precision 0.5362997658079626 [0.642857,0.333333] precision 0.4647435897435897 [0.634615,0.125] precision 0.513888888888889 [0.645833,0.25] precision 0.570191713048856 [0.673469,0.363636] precision 0.5555555555555555 [0.666667,0.333333] precision 0.5633387888707037 [0.659574,0.384615] precision 0.4836363636363636 [0.636364,0.2] precision 0.6799999999999999 [0.75,0.55] precision 0.4165120593692022 [0.591837,0.090909] precision 0.5433607520564042 [0.648649,0.347826] predictive_accuracy 0.47540983606557374 predictive_accuracy 0.5666666666666667 predictive_accuracy 0.5666666666666667 predictive_accuracy 0.6166666666666667 predictive_accuracy 0.5833333333333334 predictive_accuracy 0.6 predictive_accuracy 0.6 predictive_accuracy 0.6833333333333332 predictive_accuracy 0.5 predictive_accuracy 0.5333333333333333 prior_entropy 0.9288422097579495 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 relative_absolute_error 1.1626898047722332 relative_absolute_error 0.9677777777777768 relative_absolute_error 0.9677777777777768 relative_absolute_error 0.8561111111111103 relative_absolute_error 0.9305555555555547 relative_absolute_error 0.883031301482701 relative_absolute_error 0.883031301482701 relative_absolute_error 0.6990664470071383 relative_absolute_error 1.1037891268533762 relative_absolute_error 1.030203185063151 root_mean_prior_squared_error 0.4751281144554437 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_squared_error 0.7242859683401482 root_mean_squared_error 0.6582805886043833 root_mean_squared_error 0.6582805886043833 root_mean_squared_error 0.6191391873668903 root_mean_squared_error 0.6454972243679028 root_mean_squared_error 0.6324555320336759 root_mean_squared_error 0.6324555320336759 root_mean_squared_error 0.5627314338711378 root_mean_squared_error 0.7071067811865476 root_mean_squared_error 0.6831300510639732 root_relative_squared_error 1.5244014115440647 root_relative_squared_error 1.3961130314291845 root_relative_squared_error 1.3961130314291845 root_relative_squared_error 1.3131000711778171 root_relative_squared_error 1.3690014596997284 root_relative_squared_error 1.3258556448768986 root_relative_squared_error 1.3258556448768986 root_relative_squared_error 1.1796887059373402 root_relative_squared_error 1.482351675148283 root_relative_squared_error 1.4320877729945858 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 0.48690476190476195 [0.45,0.52381] unweighted_recall 0.4375 [0.825,0.05] unweighted_recall 0.4625 [0.775,0.15] unweighted_recall 0.5125 [0.825,0.2] unweighted_recall 0.5 [0.75,0.25] unweighted_recall 0.5164835164835164 [0.794872,0.238095] unweighted_recall 0.4725274725274725 [0.897436,0.047619] unweighted_recall 0.6465201465201466 [0.769231,0.52381] unweighted_recall 0.39560439560439564 [0.74359,0.047619] unweighted_recall 0.4981684981684982 [0.615385,0.380952] usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 31.25 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 wall_clock_time_millis 15.985727310180664 wall_clock_time_millis 20.9653377532959 wall_clock_time_millis 15.97142219543457 wall_clock_time_millis 15.993356704711914 wall_clock_time_millis 16.98613166809082 wall_clock_time_millis 17.96698570251465 wall_clock_time_millis 18.01133155822754 wall_clock_time_millis 15.991687774658203 wall_clock_time_millis 19.01078224182129 wall_clock_time_millis 14.990568161010742 wall_clock_time_millis_testing 2.976655960083008 wall_clock_time_millis_testing 3.9980411529541016 wall_clock_time_millis_testing 3.9772987365722656 wall_clock_time_millis_testing 3.001689910888672 wall_clock_time_millis_testing 4.975795745849609 wall_clock_time_millis_testing 3.000020980834961 wall_clock_time_millis_testing 2.9985904693603516 wall_clock_time_millis_testing 3.9987564086914062 wall_clock_time_millis_testing 2.9985904693603516 wall_clock_time_millis_testing 2.9973983764648438 wall_clock_time_millis_training 13.009071350097656 wall_clock_time_millis_training 16.967296600341797 wall_clock_time_millis_training 11.994123458862305 wall_clock_time_millis_training 12.991666793823242 wall_clock_time_millis_training 12.010335922241211 wall_clock_time_millis_training 14.966964721679688 wall_clock_time_millis_training 15.012741088867188 wall_clock_time_millis_training 11.992931365966797 wall_clock_time_millis_training 16.012191772460938 wall_clock_time_millis_training 11.993169784545898 weighted_recall 0.47540983606557374 [0.45,0.52381] weighted_recall 0.5666666666666667 [0.825,0.05] weighted_recall 0.5666666666666667 [0.775,0.15] weighted_recall 0.6166666666666667 [0.825,0.2] weighted_recall 0.5833333333333334 [0.75,0.25] weighted_recall 0.6 [0.794872,0.238095] weighted_recall 0.6 [0.897436,0.047619] weighted_recall 0.6833333333333333 [0.769231,0.52381] weighted_recall 0.5 [0.74359,0.047619] weighted_recall 0.5333333333333333 [0.615385,0.380952]