10591306 32117 VAIBHAV JAISWAL 59 Supervised Classification predictive_accuracy 19170 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._gb.GradientBoostingClassifier)(1) 8304107 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 19170 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"}}] 19170 verbose false 19170 ccp_alpha 0.0 19171 criterion "friedman_mse" 19171 init null 19171 learning_rate 0.1 19171 loss "deviance" 19171 max_depth 3 19171 max_features null 19171 max_leaf_nodes null 19171 min_impurity_decrease 0.0 19171 min_samples_leaf 1 19171 min_samples_split 2 19171 min_weight_fraction_leaf 0.0 19171 n_estimators 100 19171 n_iter_no_change null 19171 random_state 0 19171 subsample 1.0 19171 tol 0.0001 19171 validation_fraction 0.1 19171 verbose 0 19171 warm_start false 19171 openml-python Sklearn_1.0.2. 61 iris https://www.openml.org/data/download/61/dataset_61_iris.arff -1 22110218 description https://api.openml.org/data/download/22110218/description.xml -1 22110219 predictions https://api.openml.org/data/download/22110219/predictions.arff area_under_roc_curve 0.9779999999999999 [1,0.9625,0.9715] average_cost 0 f_measure 0.9533286661999534 [1,0.930693,0.929293] kappa 0.93 kb_relative_information_score 0.9354440869038758 mean_absolute_error 0.03157891018557304 mean_prior_absolute_error 0.44444444444444337 weighted_recall 0.9533333333333334 [1,0.94,0.92] number_of_instances 150 [50,50,50] precision 0.9534480458850206 [1,0.921569,0.938776] predictive_accuracy 0.9533333333333333 prior_entropy 1.5849625007211599 relative_absolute_error 0.07105254791753951 root_mean_prior_squared_error 0.4714045207910311 root_mean_squared_error 0.1764000776952465 root_relative_squared_error 0.37420107342042835 total_cost 0 unweighted_recall 0.9533333333333333 [1,0.94,0.92] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.9599999999999999 [1,0.94,0.94] area_under_roc_curve 1 [1,1,1] area_under_roc_curve 0.9333333333333333 [1,0.9,0.9] area_under_roc_curve 0.9400000000000001 [1,0.91,0.91] area_under_roc_curve 1 [1,1,1] 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 0.9326599326599326 [1,0.909091,0.888889] f_measure 1 [1,1,1] f_measure 1 [1,1,1] f_measure 0.9326599326599326 [1,0.888889,0.909091] f_measure 1 [1,1,1] f_measure 0.9326599326599326 [1,0.888889,0.909091] f_measure 1 [1,1,1] f_measure 0.861111111111111 [1,0.833333,0.75] f_measure 0.8666666666666667 [1,0.8,0.8] f_measure 1 [1,1,1] kappa 0.9 kappa 1 kappa 1 kappa 0.9 kappa 1 kappa 0.9 kappa 1 kappa 0.8 kappa 0.8 kappa 1 kb_relative_information_score 0.9087126005836026 kb_relative_information_score 0.9998288570988595 kb_relative_information_score 0.9940786772944543 kb_relative_information_score 0.9087499056260127 kb_relative_information_score 0.999773445862591 kb_relative_information_score 0.9084693304091945 kb_relative_information_score 0.9998846573350861 kb_relative_information_score 0.8175847547048078 kb_relative_information_score 0.8174588946954525 kb_relative_information_score 0.9998997454287099 mean_absolute_error 0.04445620080831388 mean_absolute_error 0.0001252993596141404 mean_absolute_error 0.004137387574591779 mean_absolute_error 0.044428884251636956 mean_absolute_error 0.00016578944440913396 mean_absolute_error 0.04463426574647005 mean_absolute_error 0.00008446824588559169 mean_absolute_error 0.0887956653596848 mean_absolute_error 0.08888772131599405 mean_absolute_error 0.00007341974912988963 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] precision 0.9444444444444445 [1,0.833333,1] precision 1 [1,1,1] precision 1 [1,1,1] precision 0.9444444444444445 [1,1,0.833333] precision 1 [1,1,1] precision 0.9444444444444445 [1,1,0.833333] precision 1 [1,1,1] precision 0.9047619047619048 [1,0.714286,1] precision 0.8666666666666667 [1,0.8,0.8] precision 1 [1,1,1] predictive_accuracy 0.9333333333333332 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9333333333333332 predictive_accuracy 1 predictive_accuracy 0.9333333333333332 predictive_accuracy 1 predictive_accuracy 0.8666666666666667 predictive_accuracy 0.8666666666666667 predictive_accuracy 1 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 prior_entropy 1.5849625007211567 relative_absolute_error 0.10002645181870622 relative_absolute_error 0.00028192355913181583 relative_absolute_error 0.009309122042831498 relative_absolute_error 0.0999649895661831 relative_absolute_error 0.00037302624992055126 relative_absolute_error 0.10042709792955758 relative_absolute_error 0.00019005355324258125 relative_absolute_error 0.19979024705929074 relative_absolute_error 0.19999737296098655 relative_absolute_error 0.00016519443554225162 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_squared_error 0.21075138519635375 root_mean_squared_error 0.00030456266786292683 root_mean_squared_error 0.019340815492035476 root_mean_squared_error 0.21069366815518467 root_mean_squared_error 0.0005290459703419673 root_mean_squared_error 0.21077949460419354 root_mean_squared_error 0.00013249779338870372 root_mean_squared_error 0.2977840162200603 root_mean_squared_error 0.2981343974639894 root_mean_squared_error 0.00011826003962480743 root_relative_squared_error 0.4470712008503996 root_relative_squared_error 0.0006460749832264253 root_relative_squared_error 0.04102806536428835 root_relative_squared_error 0.4469487645167976 root_relative_squared_error 0.0011222759795646664 root_relative_squared_error 0.44713082990909564 root_relative_squared_error 0.00028107026459221946 root_relative_squared_error 0.6316952915945084 root_relative_squared_error 0.632438562455257 root_relative_squared_error 0.0002508674278862734 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 0.9333333333333332 [1,1,0.8] unweighted_recall 1 [1,1,1] unweighted_recall 1 [1,1,1] unweighted_recall 0.9333333333333332 [1,0.8,1] unweighted_recall 1 [1,1,1] unweighted_recall 0.9333333333333332 [1,0.8,1] unweighted_recall 1 [1,1,1] unweighted_recall 0.8666666666666667 [1,1,0.6] unweighted_recall 0.8666666666666667 [1,0.8,0.8] unweighted_recall 1 [1,1,1] usercpu_time_millis 312.5 usercpu_time_millis 281.25 usercpu_time_millis 296.875 usercpu_time_millis 281.25 usercpu_time_millis 281.25 usercpu_time_millis 281.25 usercpu_time_millis 281.25 usercpu_time_millis 265.625 usercpu_time_millis 281.25 usercpu_time_millis 281.25 usercpu_time_millis_testing 0 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_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 312.5 usercpu_time_millis_training 281.25 usercpu_time_millis_training 296.875 usercpu_time_millis_training 281.25 usercpu_time_millis_training 265.625 usercpu_time_millis_training 281.25 usercpu_time_millis_training 281.25 usercpu_time_millis_training 265.625 usercpu_time_millis_training 281.25 usercpu_time_millis_training 281.25 wall_clock_time_millis 338.78278732299805 wall_clock_time_millis 285.83812713623047 wall_clock_time_millis 288.8331413269043 wall_clock_time_millis 278.84626388549805 wall_clock_time_millis 276.84521675109863 wall_clock_time_millis 286.837100982666 wall_clock_time_millis 272.86291122436523 wall_clock_time_millis 266.8442726135254 wall_clock_time_millis 277.8191566467285 wall_clock_time_millis 279.8192501068115 wall_clock_time_millis_testing 1.9991397857666016 wall_clock_time_millis_testing 1.9993782043457031 wall_clock_time_millis_testing 1.9998550415039062 wall_clock_time_millis_testing 3.0002593994140625 wall_clock_time_millis_testing 2.9990673065185547 wall_clock_time_millis_testing 2.997875213623047 wall_clock_time_millis_testing 1.9991397857666016 wall_clock_time_millis_testing 2.9985904693603516 wall_clock_time_millis_testing 2.9969215393066406 wall_clock_time_millis_testing 3.0019283294677734 wall_clock_time_millis_training 336.78364753723145 wall_clock_time_millis_training 283.83874893188477 wall_clock_time_millis_training 286.8332862854004 wall_clock_time_millis_training 275.846004486084 wall_clock_time_millis_training 273.8461494445801 wall_clock_time_millis_training 283.83922576904297 wall_clock_time_millis_training 270.86377143859863 wall_clock_time_millis_training 263.84568214416504 wall_clock_time_millis_training 274.8222351074219 wall_clock_time_millis_training 276.81732177734375 weighted_recall 0.9333333333333333 [1,1,0.8] weighted_recall 1 [1,1,1] weighted_recall 1 [1,1,1] weighted_recall 0.9333333333333333 [1,0.8,1] weighted_recall 1 [1,1,1] weighted_recall 0.9333333333333333 [1,0.8,1] weighted_recall 1 [1,1,1] weighted_recall 0.8666666666666667 [1,1,0.6] weighted_recall 0.8666666666666667 [1,0.8,0.8] weighted_recall 1 [1,1,1]