10591469 32117 VAIBHAV JAISWAL 10101 Supervised Classification 19162 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.tree._classes.DecisionTreeClassifier)(1) 8304103 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 ccp_alpha 0.0 19085 class_weight null 19085 criterion "gini" 19085 max_depth null 19085 max_features null 19085 max_leaf_nodes null 19085 min_impurity_decrease 0.0 19085 min_samples_leaf 1 19085 min_samples_split 2 19085 min_weight_fraction_leaf 0.0 19085 random_state 0 19085 splitter "best" 19085 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 19162 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"}}] 19162 verbose false 19162 openml-python Sklearn_1.0.2. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 22110544 description https://api.openml.org/data/download/22110544/description.xml -1 22110545 predictions https://api.openml.org/data/download/22110545/predictions.arff area_under_roc_curve 0.5882022471910112 [0.588202,0.588202] average_cost 0 f_measure 0.7029420733285806 [0.817717,0.335404] kappa 0.1557027722688721 kb_relative_information_score 0.05234132981114669 mean_absolute_error 0.30935052994202805 mean_prior_absolute_error 0.3630445632798566 weighted_recall 0.713903743315508 [0.842105,0.303371] number_of_instances 748 [570,178] precision 0.6948263802811913 [0.794702,0.375] predictive_accuracy 0.713903743315508 prior_entropy 0.7916465694609683 relative_absolute_error 0.8521007094756079 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.5209694371535367 root_relative_squared_error 1.223392546457913 total_cost 0 unweighted_recall 0.5727380248373743 [0.842105,0.303371] area_under_roc_curve 0.517543859649123 [0.517544,0.517544] area_under_roc_curve 0.5662768031189084 [0.566277,0.566277] area_under_roc_curve 0.567738791423002 [0.567739,0.567739] area_under_roc_curve 0.5989278752436648 [0.598928,0.598928] area_under_roc_curve 0.631578947368421 [0.631579,0.631579] area_under_roc_curve 0.5857699805068226 [0.58577,0.58577] area_under_roc_curve 0.5960038986354775 [0.596004,0.596004] area_under_roc_curve 0.5794346978557505 [0.579435,0.579435] area_under_roc_curve 0.6852425180598555 [0.685243,0.685243] area_under_roc_curve 0.5732714138286894 [0.573271,0.573271] 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 0.6168476441042813 [0.743363,0.216216] f_measure 0.7137127371273713 [0.845528,0.296296] f_measure 0.656 [0.8,0.2] f_measure 0.7066666666666667 [0.807018,0.388889] f_measure 0.7880726484142045 [0.87395,0.516129] f_measure 0.6557886557886557 [0.786325,0.242424] f_measure 0.7211864406779661 [0.830508,0.375] f_measure 0.7133333333333334 [0.833333,0.333333] f_measure 0.7837837837837838 [0.859649,0.529412] f_measure 0.668336439888164 [0.793103,0.25] kappa -0.04017216642754668 kappa 0.16225749559082905 kappa 0.009900990099010184 kappa 0.19590643274853803 kappa 0.3941841680129241 kappa 0.031007751937984312 kappa 0.20886075949367064 kappa 0.17491749174917487 kappa 0.38906088751289986 kappa 0.0441334768568354 kb_relative_information_score -0.2361966573002943 kb_relative_information_score 0.16110896197602123 kb_relative_information_score -0.010945802073787057 kb_relative_information_score 0.036304172576838135 kb_relative_information_score 0.20673274752527646 kb_relative_information_score -0.02890968863223041 kb_relative_information_score 0.09483793828074268 kb_relative_information_score 0.10312923048220651 kb_relative_information_score 0.2415567905557744 kb_relative_information_score -0.0408767968752714 mean_absolute_error 0.4015854911372152 mean_absolute_error 0.27975369075369066 mean_absolute_error 0.3346825396825396 mean_absolute_error 0.3212115483083224 mean_absolute_error 0.25923809523809527 mean_absolute_error 0.3339682539682541 mean_absolute_error 0.2917261904761904 mean_absolute_error 0.29841202475685247 mean_absolute_error 0.2414855315590609 mean_absolute_error 0.33082337144837143 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 0.6205263157894737 [0.75,0.210526] precision 0.7054545454545454 [0.787879,0.444444] precision 0.639047619047619 [0.761905,0.25] precision 0.7066666666666667 [0.807018,0.388889] precision 0.7851116625310173 [0.83871,0.615385] precision 0.6466666666666666 [0.766667,0.266667] precision 0.7133489461358313 [0.803279,0.428571] precision 0.7031746031746031 [0.793651,0.416667] precision 0.7837837837837838 [0.859649,0.529412] precision 0.6618109635058788 [0.779661,0.266667] predictive_accuracy 0.6133333333333334 predictive_accuracy 0.7466666666666667 predictive_accuracy 0.68 predictive_accuracy 0.7066666666666667 predictive_accuracy 0.8 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.7837837837837838 predictive_accuracy 0.6756756756756757 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 1.1029336397865506 relative_absolute_error 0.7683289441382302 relative_absolute_error 0.9191881674304401 relative_absolute_error 0.882190791091408 relative_absolute_error 0.7119839293561278 relative_absolute_error 0.9172264189109067 relative_absolute_error 0.8012107911862556 relative_absolute_error 0.8195730868889675 relative_absolute_error 0.6731515319702598 relative_absolute_error 0.9221846868601006 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 0.6086279901087449 root_mean_squared_error 0.4867732248833971 root_mean_squared_error 0.5355684633986119 root_mean_squared_error 0.5282723448791713 root_mean_squared_error 0.4613536230841585 root_mean_squared_error 0.5370725226399348 root_mean_squared_error 0.5179053260353756 root_mean_squared_error 0.4957135340907736 root_mean_squared_error 0.4695477514029785 root_mean_squared_error 0.5521321055717607 root_relative_squared_error 1.4250739053806507 root_relative_squared_error 1.13975668535286 root_relative_squared_error 1.2540084487369811 root_relative_squared_error 1.2369249292774809 root_relative_squared_error 1.0802378794517553 root_relative_squared_error 1.2575301329378226 root_relative_squared_error 1.212651040677249 root_relative_squared_error 1.1606900002258587 root_relative_squared_error 1.1159676574109236 root_relative_squared_error 1.3122447516684457 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 0.47953216374269003 [0.736842,0.222222] unweighted_recall 0.567251461988304 [0.912281,0.222222] unweighted_recall 0.5043859649122807 [0.842105,0.166667] unweighted_recall 0.597953216374269 [0.807018,0.388889] unweighted_recall 0.6783625730994152 [0.912281,0.444444] unweighted_recall 0.5146198830409356 [0.807018,0.222222] unweighted_recall 0.5964912280701754 [0.859649,0.333333] unweighted_recall 0.577485380116959 [0.877193,0.277778] unweighted_recall 0.6945304437564499 [0.859649,0.529412] unweighted_recall 0.5211558307533539 [0.807018,0.235294] usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 0 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_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 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 wall_clock_time_millis 9.997367858886719 wall_clock_time_millis 10.994195938110352 wall_clock_time_millis 9.990692138671875 wall_clock_time_millis 8.994817733764648 wall_clock_time_millis 8.976221084594727 wall_clock_time_millis 8.994817733764648 wall_clock_time_millis 9.999513626098633 wall_clock_time_millis 18.98980140686035 wall_clock_time_millis 16.023874282836914 wall_clock_time_millis 9.994983673095703 wall_clock_time_millis_testing 3.0019283294677734 wall_clock_time_millis_testing 1.9996166229248047 wall_clock_time_millis_testing 1.9996166229248047 wall_clock_time_millis_testing 1.9989013671875 wall_clock_time_millis_testing 1.9986629486083984 wall_clock_time_millis_testing 1.9996166229248047 wall_clock_time_millis_testing 3.0057430267333984 wall_clock_time_millis_testing 3.998279571533203 wall_clock_time_millis_testing 3.031492233276367 wall_clock_time_millis_testing 3.000020980834961 wall_clock_time_millis_training 6.995439529418945 wall_clock_time_millis_training 8.994579315185547 wall_clock_time_millis_training 7.99107551574707 wall_clock_time_millis_training 6.995916366577148 wall_clock_time_millis_training 6.977558135986328 wall_clock_time_millis_training 6.995201110839844 wall_clock_time_millis_training 6.993770599365234 wall_clock_time_millis_training 14.991521835327148 wall_clock_time_millis_training 12.992382049560547 wall_clock_time_millis_training 6.994962692260742 weighted_recall 0.6133333333333333 [0.736842,0.222222] weighted_recall 0.7466666666666667 [0.912281,0.222222] weighted_recall 0.68 [0.842105,0.166667] weighted_recall 0.7066666666666667 [0.807018,0.388889] weighted_recall 0.8 [0.912281,0.444444] weighted_recall 0.6666666666666666 [0.807018,0.222222] weighted_recall 0.7333333333333333 [0.859649,0.333333] weighted_recall 0.7333333333333333 [0.877193,0.277778] weighted_recall 0.7837837837837838 [0.859649,0.529412] weighted_recall 0.6756756756756757 [0.807018,0.235294]