10591467 32117 VAIBHAV JAISWAL 10101 Supervised Classification 19159 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._stochastic_gradient.SGDClassifier)(1) 8304102 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 19159 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"}}] 19159 verbose false 19159 alpha 0.0001 19160 average false 19160 class_weight null 19160 early_stopping false 19160 epsilon 0.1 19160 eta0 0.0 19160 fit_intercept true 19160 l1_ratio 0.15 19160 learning_rate "optimal" 19160 loss "hinge" 19160 max_iter 1000 19160 n_iter_no_change 5 19160 n_jobs null 19160 penalty "l2" 19160 power_t 0.5 19160 random_state 0 19160 shuffle true 19160 tol 0.001 19160 validation_fraction 0.1 19160 verbose 0 19160 warm_start false 19160 openml-python Sklearn_1.0.2. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 22110540 description https://api.openml.org/data/download/22110540/description.xml -1 22110541 predictions https://api.openml.org/data/download/22110541/predictions.arff area_under_roc_curve 0.5662231421249754 [0.566223,0.566223] average_cost 0 f_measure 0.7115778819473632 [0.83977,0.301075] kappa 0.15559003334568355 kb_relative_information_score 0.18979448873365098 mean_absolute_error 0.2606951871657754 mean_prior_absolute_error 0.3630445632798566 weighted_recall 0.7393048128342246 [0.896491,0.235955] number_of_instances 748 [570,178] precision 0.7008091890196384 [0.789799,0.415842] predictive_accuracy 0.7393048128342247 prior_entropy 0.7916465694609683 relative_absolute_error 0.7180804053655965 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.5105831833950031 root_relative_squared_error 1.1990025064140364 total_cost 0 unweighted_recall 0.5662231421249754 [0.896491,0.235955] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5277777777777778 [0.527778,0.527778] area_under_roc_curve 0.5921052631578947 [0.592105,0.592105] area_under_roc_curve 0.5877192982456141 [0.587719,0.587719] area_under_roc_curve 0.6695906432748538 [0.669591,0.669591] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.7007223942208464 [0.700722,0.700722] area_under_roc_curve 0.6006191950464397 [0.600619,0.600619] 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 0.6866372036962636 [0.870229,0.105263] f_measure 0.6605714285714287 [0.742857,0.4] f_measure 0.7108624708624709 [0.820513,0.363636] f_measure 0.7769491525423728 [0.864407,0.5] f_measure 0.7452708773463491 [0.811321,0.52381] f_measure 0.7083065208065209 [0.803571,0.388889] kappa 0 kappa 0.08207343412526993 kappa 0.15730337078651693 kappa 0.18604651162790684 kappa 0.3670886075949365 kappa 0 kappa 0 kappa 0 kappa 0.3445527015057572 kappa 0.19326065411298332 kb_relative_information_score 0.2573028231343927 kb_relative_information_score 0.2985637774047042 kb_relative_information_score -0.114045765298411 kb_relative_information_score 0.1335199603234583 kb_relative_information_score 0.33982473167501603 kb_relative_information_score 0.2573028231343927 kb_relative_information_score 0.2573028231343927 kb_relative_information_score 0.2573028231343927 kb_relative_information_score 0.14514882713822075 kb_relative_information_score 0.059663709852042154 mean_absolute_error 0.24 mean_absolute_error 0.22666666666666666 mean_absolute_error 0.36 mean_absolute_error 0.28 mean_absolute_error 0.21333333333333335 mean_absolute_error 0.24 mean_absolute_error 0.24 mean_absolute_error 0.24 mean_absolute_error 0.2702702702702703 mean_absolute_error 0.2972972972972973 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 0.8254054054054054 [0.77027,1] precision 0.6975 [0.8125,0.333333] precision 0.7040000000000001 [0.8,0.4] precision 0.7725526932084309 [0.836066,0.571429] precision 0.7770325427468284 [0.877551,0.44] precision 0.7148583990689255 [0.818182,0.368421] predictive_accuracy 0.76 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.64 predictive_accuracy 0.72 predictive_accuracy 0.7866666666666667 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.76 predictive_accuracy 0.7297297297297297 predictive_accuracy 0.7027027027027027 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 0.6591475025633511 relative_absolute_error 0.6225281968653871 relative_absolute_error 0.9887212538450265 relative_absolute_error 0.769005419657243 relative_absolute_error 0.5859088911674233 relative_absolute_error 0.6591475025633511 relative_absolute_error 0.6591475025633511 relative_absolute_error 0.6591475025633511 relative_absolute_error 0.7533902561526866 relative_absolute_error 0.8287292817679552 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 0.4898979485566356 root_mean_squared_error 0.4760952285695233 root_mean_squared_error 0.6 root_mean_squared_error 0.5291502622129182 root_mean_squared_error 0.46188021535170065 root_mean_squared_error 0.4898979485566356 root_mean_squared_error 0.4898979485566356 root_mean_squared_error 0.4898979485566356 root_mean_squared_error 0.5198752449100363 root_mean_squared_error 0.5452497568062706 root_relative_squared_error 1.147073079341677 root_relative_squared_error 1.1147546575855642 root_relative_squared_error 1.4048718710350763 root_relative_squared_error 1.2389805315562727 root_relative_squared_error 1.0814708705587128 root_relative_squared_error 1.147073079341677 root_relative_squared_error 1.147073079341677 root_relative_squared_error 1.147073079341677 root_relative_squared_error 1.2355803163249974 root_relative_squared_error 1.295887568386532 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 0.5 [1,0] unweighted_recall 0.5277777777777778 [1,0.055556] unweighted_recall 0.5921052631578947 [0.684211,0.5] unweighted_recall 0.587719298245614 [0.842105,0.333333] unweighted_recall 0.6695906432748537 [0.894737,0.444444] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.7007223942208463 [0.754386,0.647059] unweighted_recall 0.6006191950464397 [0.789474,0.411765] usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 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_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 15.625 usercpu_time_millis_training 15.625 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 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 wall_clock_time_millis 9.016752243041992 wall_clock_time_millis 11.97052001953125 wall_clock_time_millis 9.971857070922852 wall_clock_time_millis 8.972883224487305 wall_clock_time_millis 11.990547180175781 wall_clock_time_millis 36.95940971374512 wall_clock_time_millis 18.988609313964844 wall_clock_time_millis 10.991573333740234 wall_clock_time_millis 9.99307632446289 wall_clock_time_millis 8.972644805908203 wall_clock_time_millis_testing 2.0225048065185547 wall_clock_time_millis_testing 2.9964447021484375 wall_clock_time_millis_testing 1.977682113647461 wall_clock_time_millis_testing 1.997232437133789 wall_clock_time_millis_testing 2.9990673065185547 wall_clock_time_millis_testing 5.000591278076172 wall_clock_time_millis_testing 4.997730255126953 wall_clock_time_millis_testing 1.9989013671875 wall_clock_time_millis_testing 1.9993782043457031 wall_clock_time_millis_testing 1.9991397857666016 wall_clock_time_millis_training 6.9942474365234375 wall_clock_time_millis_training 8.974075317382812 wall_clock_time_millis_training 7.994174957275391 wall_clock_time_millis_training 6.975650787353516 wall_clock_time_millis_training 8.991479873657227 wall_clock_time_millis_training 31.958818435668945 wall_clock_time_millis_training 13.99087905883789 wall_clock_time_millis_training 8.992671966552734 wall_clock_time_millis_training 7.9936981201171875 wall_clock_time_millis_training 6.973505020141602 weighted_recall 0.76 [1,0] weighted_recall 0.7733333333333333 [1,0.055556] weighted_recall 0.64 [0.684211,0.5] weighted_recall 0.72 [0.842105,0.333333] weighted_recall 0.7866666666666666 [0.894737,0.444444] weighted_recall 0.76 [1,0] weighted_recall 0.76 [1,0] weighted_recall 0.76 [1,0] weighted_recall 0.7297297297297297 [0.754386,0.647059] weighted_recall 0.7027027027027027 [0.789474,0.411765]