10591524 32117 VAIBHAV JAISWAL 10101 Supervised Classification 19174 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.ensemble._hist_gradient_boosting.gradient_boosting.HistGradientBoostingClassifier)(1) 8304109 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 19174 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"}}] 19174 verbose false 19174 categorical_features null 19175 early_stopping "auto" 19175 l2_regularization 0.0 19175 learning_rate 0.1 19175 loss "auto" 19175 max_bins 255 19175 max_depth null 19175 max_iter 100 19175 max_leaf_nodes 31 19175 min_samples_leaf 20 19175 monotonic_cst null 19175 n_iter_no_change 10 19175 random_state 0 19175 scoring "loss" 19175 tol 1e-07 19175 validation_fraction 0.1 19175 verbose 0 19175 warm_start false 19175 openml-python Sklearn_1.0.2. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 22110654 description https://api.openml.org/data/download/22110654/description.xml -1 22110655 predictions https://api.openml.org/data/download/22110655/predictions.arff area_under_roc_curve 0.7000542085550957 [0.700054,0.700054] average_cost 0 f_measure 0.7364866361268362 [0.848837,0.376712] kappa 0.23446848711143098 kb_relative_information_score 0.11350999736175447 mean_absolute_error 0.2980389045142494 mean_prior_absolute_error 0.3630445632798566 weighted_recall 0.7566844919786097 [0.896491,0.308989] number_of_instances 748 [570,178] precision 0.7290021347165042 [0.805994,0.482456] predictive_accuracy 0.7566844919786097 prior_entropy 0.7916465694609683 relative_absolute_error 0.8209430319563912 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.4206688753489149 root_relative_squared_error 0.9878567338625338 total_cost 0 unweighted_recall 0.6027399960575597 [0.896491,0.308989] area_under_roc_curve 0.7392787524366472 [0.739279,0.739279] area_under_roc_curve 0.7383040935672515 [0.738304,0.738304] area_under_roc_curve 0.5818713450292398 [0.581871,0.581871] area_under_roc_curve 0.692495126705653 [0.692495,0.692495] area_under_roc_curve 0.8357699805068226 [0.83577,0.83577] area_under_roc_curve 0.6652046783625731 [0.665205,0.665205] area_under_roc_curve 0.6993177387914231 [0.699318,0.699318] area_under_roc_curve 0.6817738791423001 [0.681774,0.681774] area_under_roc_curve 0.7156862745098039 [0.715686,0.715686] area_under_roc_curve 0.6929824561403509 [0.692982,0.692982] 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 0.7420000000000001 [0.85,0.4] f_measure 0.7234197777144485 [0.842975,0.344828] f_measure 0.6473015873015873 [0.825397,0.083333] f_measure 0.7550101419878296 [0.844828,0.470588] f_measure 0.7739837398373983 [0.878049,0.444444] f_measure 0.7335831381733021 [0.852459,0.357143] f_measure 0.7133333333333334 [0.833333,0.333333] f_measure 0.7420000000000001 [0.85,0.4] f_measure 0.7900878546039837 [0.871795,0.516129] f_measure 0.7265030895862539 [0.840336,0.344828] kappa 0.25742574257425754 kappa 0.1989881956155145 kappa -0.04166666666666682 kappa 0.3161094224924012 kappa 0.33862433862433877 kappa 0.22413793103448282 kappa 0.17491749174917487 kappa 0.25742574257425754 kappa 0.38943894389438927 kappa 0.19102416570770997 kb_relative_information_score 0.1315306905588128 kb_relative_information_score 0.14750765821112688 kb_relative_information_score -0.022471800359934853 kb_relative_information_score 0.09404683442830025 kb_relative_information_score 0.2722877434400723 kb_relative_information_score 0.06889654317595233 kb_relative_information_score 0.08658577410649615 kb_relative_information_score 0.07908172321561868 kb_relative_information_score 0.20352437477345756 kb_relative_information_score 0.0759279161342759 mean_absolute_error 0.295640760453776 mean_absolute_error 0.2966542784357964 mean_absolute_error 0.3319476924865874 mean_absolute_error 0.30188731964731014 mean_absolute_error 0.2578771162167984 mean_absolute_error 0.3158462549442968 mean_absolute_error 0.30270547376252416 mean_absolute_error 0.30846052747722824 mean_absolute_error 0.26668335881611005 mean_absolute_error 0.30232534145192647 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.35873873873873896 mean_prior_absolute_error 0.35873873873873896 number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 74 [57,17] number_of_instances 74 [57,17] precision 0.7352380952380952 [0.809524,0.5] precision 0.7147159090909091 [0.796875,0.454545] precision 0.6127536231884059 [0.753623,0.166667] precision 0.7511864406779661 [0.830508,0.5] precision 0.7818181818181819 [0.818182,0.666667] precision 0.728 [0.8,0.5] precision 0.7031746031746031 [0.793651,0.416667] precision 0.7352380952380952 [0.809524,0.5] precision 0.786003861003861 [0.85,0.571429] precision 0.7169064225515838 [0.806452,0.416667] predictive_accuracy 0.76 predictive_accuracy 0.7466666666666667 predictive_accuracy 0.7066666666666667 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.76 predictive_accuracy 0.7972972972972973 predictive_accuracy 0.7432432432432432 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7778597106646706 prior_entropy 0.7778597106646706 relative_absolute_error 0.8119619537876516 relative_absolute_error 0.8147455281487006 relative_absolute_error 0.9116770520175055 relative_absolute_error 0.8291178033377855 relative_absolute_error 0.7082460713439237 relative_absolute_error 0.8674552922521696 relative_absolute_error 0.8313648210117658 relative_absolute_error 0.8471707763582872 relative_absolute_error 0.7433915828374735 relative_absolute_error 0.8427451758202866 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4207539065176338 root_mean_prior_squared_error 0.4207539065176338 root_mean_squared_error 0.4148313038534568 root_mean_squared_error 0.4061720138455008 root_mean_squared_error 0.470293408611083 root_mean_squared_error 0.42906788371429194 root_mean_squared_error 0.3643474700148825 root_mean_squared_error 0.4288747170439241 root_mean_squared_error 0.43038209265121535 root_mean_squared_error 0.4266003005918738 root_mean_squared_error 0.39373884913300483 root_mean_squared_error 0.43383791978020086 root_relative_squared_error 0.9713080500142103 root_relative_squared_error 0.9510327284220227 root_relative_squared_error 1.1011699681515263 root_relative_squared_error 1.0046423343245965 root_relative_squared_error 0.8531025198445071 root_relative_squared_error 1.0041900436218945 root_relative_squared_error 1.007719492938174 root_relative_squared_error 0.9988646041277197 root_relative_squared_error 0.9357936861282671 root_relative_squared_error 1.0310965936617362 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 0.6140350877192983 [0.894737,0.333333] unweighted_recall 0.5862573099415205 [0.894737,0.277778] unweighted_recall 0.48391812865497075 [0.912281,0.055556] unweighted_recall 0.652046783625731 [0.859649,0.444444] unweighted_recall 0.6403508771929824 [0.947368,0.333333] unweighted_recall 0.5950292397660819 [0.912281,0.277778] unweighted_recall 0.577485380116959 [0.877193,0.277778] unweighted_recall 0.6140350877192983 [0.894737,0.333333] unweighted_recall 0.6826625386996904 [0.894737,0.470588] unweighted_recall 0.5856553147574819 [0.877193,0.294118] usercpu_time_millis 1796.875 usercpu_time_millis 1828.125 usercpu_time_millis 2109.375 usercpu_time_millis 2171.875 usercpu_time_millis 2250 usercpu_time_millis 1968.75 usercpu_time_millis 1843.75 usercpu_time_millis 2437.5 usercpu_time_millis 1796.875 usercpu_time_millis 1828.125 usercpu_time_millis_testing 0 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 0 usercpu_time_millis_testing 62.5 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 46.875 usercpu_time_millis_testing 0 usercpu_time_millis_testing 46.875 usercpu_time_millis_training 1796.875 usercpu_time_millis_training 1781.25 usercpu_time_millis_training 2046.875 usercpu_time_millis_training 2171.875 usercpu_time_millis_training 2187.5 usercpu_time_millis_training 1968.75 usercpu_time_millis_training 1843.75 usercpu_time_millis_training 2390.625 usercpu_time_millis_training 1796.875 usercpu_time_millis_training 1781.25 wall_clock_time_millis 716.5665626525879 wall_clock_time_millis 689.6035671234131 wall_clock_time_millis 699.5978355407715 wall_clock_time_millis 710.5927467346191 wall_clock_time_millis 691.6043758392334 wall_clock_time_millis 690.6042098999023 wall_clock_time_millis 700.5982398986816 wall_clock_time_millis 691.6027069091797 wall_clock_time_millis 689.6047592163086 wall_clock_time_millis 691.603422164917 wall_clock_time_millis_testing 9.993553161621094 wall_clock_time_millis_testing 9.993553161621094 wall_clock_time_millis_testing 9.994268417358398 wall_clock_time_millis_testing 9.993791580200195 wall_clock_time_millis_testing 8.995294570922852 wall_clock_time_millis_testing 9.994268417358398 wall_clock_time_millis_testing 8.995294570922852 wall_clock_time_millis_testing 7.994890213012695 wall_clock_time_millis_testing 7.995367050170898 wall_clock_time_millis_testing 8.993387222290039 wall_clock_time_millis_training 706.5730094909668 wall_clock_time_millis_training 679.610013961792 wall_clock_time_millis_training 689.6035671234131 wall_clock_time_millis_training 700.598955154419 wall_clock_time_millis_training 682.6090812683105 wall_clock_time_millis_training 680.609941482544 wall_clock_time_millis_training 691.6029453277588 wall_clock_time_millis_training 683.607816696167 wall_clock_time_millis_training 681.6093921661377 wall_clock_time_millis_training 682.610034942627 weighted_recall 0.76 [0.894737,0.333333] weighted_recall 0.7466666666666667 [0.894737,0.277778] weighted_recall 0.7066666666666667 [0.912281,0.055556] weighted_recall 0.76 [0.859649,0.444444] weighted_recall 0.8 [0.947368,0.333333] weighted_recall 0.76 [0.912281,0.277778] weighted_recall 0.7333333333333333 [0.877193,0.277778] weighted_recall 0.76 [0.894737,0.333333] weighted_recall 0.7972972972972973 [0.894737,0.470588] weighted_recall 0.7432432432432432 [0.877193,0.294118]