10589165 32117 VAIBHAV JAISWAL 10101 Supervised Classification 19163 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.naive_bayes.GaussianNB)(1) 8304081 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 19163 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"}}] 19163 verbose false 19163 priors null 19164 var_smoothing 1e-09 19164 openml-python Sklearn_1.0.2. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 22105897 description https://api.openml.org/data/download/22105897/description.xml -1 22105898 predictions https://api.openml.org/data/download/22105898/predictions.arff area_under_roc_curve 0.700753754541976 [0.700749,0.700769] average_cost 0 f_measure 0.712796624331551 [0.85,0.273438] kappa 0.15020767163449805 kb_relative_information_score 0.13987886198664987 mean_absolute_error 0.28962110875549824 mean_prior_absolute_error 0.3630445632798566 weighted_recall 0.7513368983957219 [0.924561,0.196629] number_of_instances 748 [570,178] precision 0.7061698909811289 [0.786567,0.448718] predictive_accuracy 0.751336898395722 prior_entropy 0.7916465694609683 relative_absolute_error 0.7977563584452877 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.4301636096547899 root_relative_squared_error 1.0101532187463147 total_cost 0 unweighted_recall 0.560595308495959 [0.924561,0.196629] area_under_roc_curve 0.7626705653021443 [0.762671,0.762671] area_under_roc_curve 0.77046783625731 [0.770468,0.770468] area_under_roc_curve 0.6354775828460039 [0.635478,0.635478] area_under_roc_curve 0.6398635477582846 [0.639864,0.639864] area_under_roc_curve 0.753411306042885 [0.753411,0.753411] area_under_roc_curve 0.6944444444444444 [0.694444,0.694444] area_under_roc_curve 0.7461013645224172 [0.746101,0.746101] area_under_roc_curve 0.7002923976608189 [0.700292,0.700292] area_under_roc_curve 0.7456140350877193 [0.745614,0.745614] area_under_roc_curve 0.6960784313725489 [0.696078,0.696078] 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 0.7020799999999999 [0.848,0.24] f_measure 0.75424317617866 [0.870968,0.384615] f_measure 0.7114285714285714 [0.857143,0.25] f_measure 0.6233062330623307 [0.796748,0.074074] f_measure 0.752533485323454 [0.859504,0.413793] f_measure 0.7020799999999999 [0.848,0.24] f_measure 0.7235235732009925 [0.854839,0.307692] f_measure 0.7438482384823847 [0.861789,0.37037] f_measure 0.7254430082256168 [0.864,0.26087] f_measure 0.6843214181923859 [0.83871,0.166667] kappa 0.12199630314232907 kappa 0.27797833935018035 kappa 0.14772727272727265 kappa -0.10229276895943575 kappa 0.28330522765598654 kappa 0.12199630314232907 kappa 0.18772563176895307 kappa 0.2504409171075837 kappa 0.16021361815754348 kappa 0.03771131339401808 kb_relative_information_score 0.14081392766313358 kb_relative_information_score 0.22607275596330878 kb_relative_information_score 0.08224605325581796 kb_relative_information_score -0.03562233402552297 kb_relative_information_score 0.2356862779997196 kb_relative_information_score 0.11300510595459366 kb_relative_information_score 0.1954534351936895 kb_relative_information_score 0.18021402472275966 kb_relative_information_score 0.21231804191085468 kb_relative_information_score 0.047924880974726934 mean_absolute_error 0.2844622537289411 mean_absolute_error 0.26781569112955655 mean_absolute_error 0.3125981456176528 mean_absolute_error 0.34132800347201725 mean_absolute_error 0.259785900697799 mean_absolute_error 0.29561818605302337 mean_absolute_error 0.27475549444161296 mean_absolute_error 0.2857520610930845 mean_absolute_error 0.26796191628341487 mean_absolute_error 0.30606388279207597 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 0.6952100840336135 [0.779412,0.428571] precision 0.7625373134328358 [0.80597,0.625] precision 0.7147826086956521 [0.782609,0.5] precision 0.5909090909090909 [0.742424,0.111111] precision 0.7484090909090908 [0.8125,0.545455] precision 0.6952100840336135 [0.779412,0.428571] precision 0.7211940298507462 [0.791045,0.5] precision 0.7436363636363637 [0.80303,0.555556] precision 0.7265500794912559 [0.794118,0.5] precision 0.6634587679363799 [0.776119,0.285714] predictive_accuracy 0.7466666666666667 predictive_accuracy 0.7866666666666667 predictive_accuracy 0.76 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.7466666666666667 predictive_accuracy 0.76 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.7702702702702703 predictive_accuracy 0.7297297297297297 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 0.7812607671623908 relative_absolute_error 0.7355418498138542 relative_absolute_error 0.8585345291242108 relative_absolute_error 0.9374395876813124 relative_absolute_error 0.7134884485255206 relative_absolute_error 0.8118999543714933 relative_absolute_error 0.7546016582364494 relative_absolute_error 0.7848031559243198 relative_absolute_error 0.7469556179673288 relative_absolute_error 0.8531665241064894 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 0.4191675677670631 root_mean_squared_error 0.40701316517625935 root_mean_squared_error 0.45267371564002784 root_mean_squared_error 0.5101539111797897 root_mean_squared_error 0.4030451139877525 root_mean_squared_error 0.4315519396082545 root_mean_squared_error 0.4147280089471309 root_mean_squared_error 0.420522009244772 root_mean_squared_error 0.39102241069588334 root_mean_squared_error 0.43947237020903984 root_relative_squared_error 0.9814612086768935 root_relative_squared_error 0.9530022448284667 root_relative_squared_error 1.0599142830993433 root_relative_squared_error 1.1945014661916888 root_relative_squared_error 0.9437112389991991 root_relative_squared_error 1.0104586347437745 root_relative_squared_error 0.9710661898336794 root_relative_squared_error 0.9846325698985541 root_relative_squared_error 0.9293375644023772 root_relative_squared_error 1.0444879141974683 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 0.5482456140350878 [0.929825,0.166667] unweighted_recall 0.6125730994152047 [0.947368,0.277778] unweighted_recall 0.5570175438596491 [0.947368,0.166667] unweighted_recall 0.45760233918128657 [0.859649,0.055556] unweighted_recall 0.6228070175438596 [0.912281,0.333333] unweighted_recall 0.5482456140350878 [0.929825,0.166667] unweighted_recall 0.5760233918128654 [0.929825,0.222222] unweighted_recall 0.6038011695906433 [0.929825,0.277778] unweighted_recall 0.5619195046439628 [0.947368,0.176471] unweighted_recall 0.5149638802889577 [0.912281,0.117647] usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 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 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 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 wall_clock_time_millis 7.992744445800781 wall_clock_time_millis 7.99560546875 wall_clock_time_millis 7.994651794433594 wall_clock_time_millis 7.995128631591797 wall_clock_time_millis 8.019208908081055 wall_clock_time_millis 7.99560546875 wall_clock_time_millis 9.9945068359375 wall_clock_time_millis 10.011911392211914 wall_clock_time_millis 7.995367050170898 wall_clock_time_millis 8.994579315185547 wall_clock_time_millis_testing 1.9984245300292969 wall_clock_time_millis_testing 1.9986629486083984 wall_clock_time_millis_testing 1.9955635070800781 wall_clock_time_millis_testing 1.9986629486083984 wall_clock_time_millis_testing 1.9984245300292969 wall_clock_time_millis_testing 1.9991397857666016 wall_clock_time_millis_testing 2.0151138305664062 wall_clock_time_millis_testing 3.015279769897461 wall_clock_time_millis_testing 1.9989013671875 wall_clock_time_millis_testing 2.9969215393066406 wall_clock_time_millis_training 5.994319915771484 wall_clock_time_millis_training 5.996942520141602 wall_clock_time_millis_training 5.999088287353516 wall_clock_time_millis_training 5.996465682983398 wall_clock_time_millis_training 6.020784378051758 wall_clock_time_millis_training 5.996465682983398 wall_clock_time_millis_training 7.979393005371094 wall_clock_time_millis_training 6.996631622314453 wall_clock_time_millis_training 5.996465682983398 wall_clock_time_millis_training 5.997657775878906 weighted_recall 0.7466666666666667 [0.929825,0.166667] weighted_recall 0.7866666666666666 [0.947368,0.277778] weighted_recall 0.76 [0.947368,0.166667] weighted_recall 0.6666666666666666 [0.859649,0.055556] weighted_recall 0.7733333333333333 [0.912281,0.333333] weighted_recall 0.7466666666666667 [0.929825,0.166667] weighted_recall 0.76 [0.929825,0.222222] weighted_recall 0.7733333333333333 [0.929825,0.277778] weighted_recall 0.7702702702702703 [0.947368,0.176471] weighted_recall 0.7297297297297297 [0.912281,0.117647]