10589161 32117 VAIBHAV JAISWAL 10101 Supervised Classification 19157 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._logistic.LogisticRegression)(1) 8304123 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 19157 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"}}] 19157 verbose false 19157 C 1.0 19158 class_weight null 19158 dual false 19158 fit_intercept true 19158 intercept_scaling 1 19158 l1_ratio null 19158 max_iter 2000 19158 multi_class "auto" 19158 n_jobs null 19158 penalty "l2" 19158 random_state 0 19158 solver "lbfgs" 19158 tol 0.0001 19158 verbose 0 19158 warm_start false 19158 openml-python Sklearn_1.0.2. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 22105889 description https://api.openml.org/data/download/22105889/description.xml -1 22105890 predictions https://api.openml.org/data/download/22105890/predictions.arff area_under_roc_curve 0.7519317957815889 [0.751932,0.751932] average_cost 0 f_measure 0.7073906545881211 [0.866719,0.197183] kappa 0.12907179431310603 kb_relative_information_score 0.09712908769138959 mean_absolute_error 0.30958420010891297 mean_prior_absolute_error 0.3630445632798566 weighted_recall 0.7713903743315508 [0.975439,0.117978] number_of_instances 748 [570,178] precision 0.7370161477825862 [0.779804,0.6] predictive_accuracy 0.7713903743315508 prior_entropy 0.7916465694609683 relative_absolute_error 0.8527443499278263 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.39284350889159725 root_relative_squared_error 0.9225144248926699 total_cost 0 unweighted_recall 0.5467080622905579 [0.975439,0.117978] area_under_roc_curve 0.7782651072124757 [0.778265,0.778265] area_under_roc_curve 0.8386939571150098 [0.838694,0.838694] area_under_roc_curve 0.6783625730994152 [0.678363,0.678363] area_under_roc_curve 0.6895711500974658 [0.689571,0.689571] area_under_roc_curve 0.7787524366471735 [0.778752,0.778752] area_under_roc_curve 0.7373294346978557 [0.737329,0.737329] area_under_roc_curve 0.7850877192982456 [0.785088,0.785088] area_under_roc_curve 0.73635477582846 [0.736355,0.736355] area_under_roc_curve 0.7363261093911249 [0.736326,0.736326] area_under_roc_curve 0.7786377708978328 [0.778638,0.778638] 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 0.6880383430332078 [0.850394,0.173913] f_measure 0.7144615384615385 [0.876923,0.2] f_measure 0.6430769230769231 [0.846154,0] f_measure 0.6630681818181817 [0.84375,0.090909] f_measure 0.7755555555555557 [0.888889,0.416667] f_measure 0.6787692307692308 [0.861538,0.1] f_measure 0.7401993355481727 [0.883721,0.285714] f_measure 0.720876412187607 [0.866142,0.26087] f_measure 0.7199324324324324 [0.875,0.2] f_measure 0.7199324324324324 [0.875,0.2] kappa 0.07766990291262131 kappa 0.1596638655462184 kappa -0.05042016806722702 kappa 0.003984063745019896 kappa 0.3371212121212121 kappa 0.0546218487394959 kappa 0.23312883435582848 kappa 0.17475728155339784 kappa 0.14078374455732942 kappa 0.14078374455732942 kb_relative_information_score 0.08508804791517546 kb_relative_information_score 0.1780539433471134 kb_relative_information_score -0.005103582337376365 kb_relative_information_score 0.03340342255197829 kb_relative_information_score 0.17828525767076198 kb_relative_information_score 0.1010449169447123 kb_relative_information_score 0.15286400387281948 kb_relative_information_score 0.045591772228610605 kb_relative_information_score 0.08937909650800169 kb_relative_information_score 0.11296425839569421 mean_absolute_error 0.3143821077734726 mean_absolute_error 0.2897099036733019 mean_absolute_error 0.340001783452124 mean_absolute_error 0.3300468791499984 mean_absolute_error 0.2864527930076297 mean_absolute_error 0.3084940764729077 mean_absolute_error 0.29341073636744386 mean_absolute_error 0.3240115216966609 mean_absolute_error 0.30351551511208513 mean_absolute_error 0.3056837627521243 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 0.6822857142857144 [0.771429,0.4] precision 0.8334246575342465 [0.780822,1] precision 0.5726027397260274 [0.753425,0] precision 0.6380281690140844 [0.760563,0.25] precision 0.8168115942028985 [0.811594,0.833333] precision 0.703013698630137 [0.767123,0.5] precision 0.8416666666666667 [0.791667,1] precision 0.7411428571428571 [0.785714,0.6] precision 0.7606902677325212 [0.788732,0.666667] precision 0.7606902677325212 [0.788732,0.666667] predictive_accuracy 0.7466666666666667 predictive_accuracy 0.7866666666666667 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.8133333333333332 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.7837837837837838 predictive_accuracy 0.7837837837837838 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 0.8634340882895281 relative_absolute_error 0.7956731644755248 relative_absolute_error 0.93379719345647 relative_absolute_error 0.9064565671689567 relative_absolute_error 0.7867276796386488 relative_absolute_error 0.8472629169279356 relative_absolute_error 0.8058373087578101 relative_absolute_error 0.8898807722004378 relative_absolute_error 0.8460628372034512 relative_absolute_error 0.852106922789698 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 0.3943247121962456 root_mean_squared_error 0.36930439760709177 root_mean_squared_error 0.41637133991699476 root_mean_squared_error 0.42701471588279344 root_mean_squared_error 0.37542254199614034 root_mean_squared_error 0.3968402722066284 root_mean_squared_error 0.37586757839440865 root_mean_squared_error 0.3968948105357548 root_mean_squared_error 0.3900444188925729 root_mean_squared_error 0.3823311585876189 root_relative_squared_error 0.9232928270308459 root_relative_squared_error 0.864708933412928 root_relative_squared_error 0.974913972257617 root_relative_squared_error 0.9998349381029528 root_relative_squared_error 0.879034281671437 root_relative_squared_error 0.9291828928616583 root_relative_squared_error 0.8800763135339602 root_relative_squared_error 0.9293105918024633 root_relative_squared_error 0.927013184787213 root_relative_squared_error 0.9086811855223867 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 0.5292397660818713 [0.947368,0.111111] unweighted_recall 0.5555555555555556 [1,0.111111] unweighted_recall 0.4824561403508772 [0.964912,0] unweighted_recall 0.5014619883040935 [0.947368,0.055556] unweighted_recall 0.6301169590643274 [0.982456,0.277778] unweighted_recall 0.5190058479532164 [0.982456,0.055556] unweighted_recall 0.5833333333333334 [1,0.166667] unweighted_recall 0.5657894736842105 [0.964912,0.166667] unweighted_recall 0.5500515995872033 [0.982456,0.117647] unweighted_recall 0.5500515995872033 [0.982456,0.117647] usercpu_time_millis 31.25 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 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 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 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_training 15.625 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 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 wall_clock_time_millis 20.987987518310547 wall_clock_time_millis 22.984027862548828 wall_clock_time_millis 22.986412048339844 wall_clock_time_millis 11.99197769165039 wall_clock_time_millis 11.992692947387695 wall_clock_time_millis 16.989946365356445 wall_clock_time_millis 24.988412857055664 wall_clock_time_millis 15.990018844604492 wall_clock_time_millis 11.991739273071289 wall_clock_time_millis 11.993646621704102 wall_clock_time_millis_testing 4.995822906494141 wall_clock_time_millis_testing 2.997159957885742 wall_clock_time_millis_testing 3.997325897216797 wall_clock_time_millis_testing 1.9991397857666016 wall_clock_time_millis_testing 1.9998550415039062 wall_clock_time_millis_testing 3.9963722229003906 wall_clock_time_millis_testing 4.002094268798828 wall_clock_time_millis_testing 1.9984245300292969 wall_clock_time_millis_testing 1.9989013671875 wall_clock_time_millis_testing 2.001047134399414 wall_clock_time_millis_training 15.992164611816406 wall_clock_time_millis_training 19.986867904663086 wall_clock_time_millis_training 18.989086151123047 wall_clock_time_millis_training 9.992837905883789 wall_clock_time_millis_training 9.992837905883789 wall_clock_time_millis_training 12.993574142456055 wall_clock_time_millis_training 20.986318588256836 wall_clock_time_millis_training 13.991594314575195 wall_clock_time_millis_training 9.992837905883789 wall_clock_time_millis_training 9.992599487304688 weighted_recall 0.7466666666666667 [0.947368,0.111111] weighted_recall 0.7866666666666666 [1,0.111111] weighted_recall 0.7333333333333333 [0.964912,0] weighted_recall 0.7333333333333333 [0.947368,0.055556] weighted_recall 0.8133333333333334 [0.982456,0.277778] weighted_recall 0.76 [0.982456,0.055556] weighted_recall 0.8 [1,0.166667] weighted_recall 0.7733333333333333 [0.964912,0.166667] weighted_recall 0.7837837837837838 [0.982456,0.117647] weighted_recall 0.7837837837837838 [0.982456,0.117647]