10591279 32117 VAIBHAV JAISWAL 37 Supervised Classification 19165 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.svm._classes.SVC)(1) 8304104 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 19165 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"}}] 19165 verbose false 19165 C 1.0 19166 break_ties false 19166 cache_size 200 19166 class_weight null 19166 coef0 0.0 19166 decision_function_shape "ovr" 19166 degree 3 19166 gamma "scale" 19166 kernel "rbf" 19166 max_iter -1 19166 probability false 19166 random_state 0 19166 shrinking true 19166 tol 0.001 19166 verbose false 19166 openml-python Sklearn_1.0.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 22110164 description https://api.openml.org/data/download/22110164/description.xml -1 22110165 predictions https://api.openml.org/data/download/22110165/predictions.arff area_under_roc_curve 0.7131194029850745 [0.713119,0.713119] average_cost 0 f_measure 0.7539660662686177 [0.826868,0.617954] kappa 0.44836248312242916 kb_relative_information_score 0.45422832766667826 mean_absolute_error 0.23828125 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.76171875 [0.874,0.552239] number_of_instances 768 [500,268] precision 0.7555483261293151 [0.78456,0.701422] predictive_accuracy 0.76171875 prior_entropy 0.9331348051619819 relative_absolute_error 0.5242811644243384 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.4881406047441659 root_relative_squared_error 1.0241265109066193 total_cost 0 unweighted_recall 0.7131194029850747 [0.874,0.552239] area_under_roc_curve 0.7933333333333333 [0.793333,0.793333] area_under_roc_curve 0.6222222222222222 [0.622222,0.622222] area_under_roc_curve 0.7348148148148148 [0.734815,0.734815] area_under_roc_curve 0.6366666666666667 [0.636667,0.636667] area_under_roc_curve 0.6977777777777778 [0.697778,0.697778] area_under_roc_curve 0.7918518518518518 [0.791852,0.791852] area_under_roc_curve 0.7177777777777776 [0.717778,0.717778] area_under_roc_curve 0.7677777777777778 [0.767778,0.767778] area_under_roc_curve 0.6992307692307692 [0.699231,0.699231] area_under_roc_curve 0.6692307692307692 [0.669231,0.669231] 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 0.8265747857584592 [0.87619,0.734694] f_measure 0.6664899726124217 [0.761905,0.489796] f_measure 0.7640300875594993 [0.823529,0.653846] f_measure 0.6926117360899968 [0.817391,0.461538] f_measure 0.7348651348651349 [0.807692,0.6] f_measure 0.8164678458796105 [0.862745,0.730769] f_measure 0.7582394021073267 [0.830189,0.625] f_measure 0.8179396551489576 [0.882883,0.697674] f_measure 0.7426545086119554 [0.819048,0.595745] f_measure 0.7075748194014448 [0.784314,0.56] kappa 0.6127659574468087 kappa 0.2553191489361703 kappa 0.4777694046721929 kappa 0.3133757961783441 kappa 0.4095092024539878 kappa 0.5938206480783723 kappa 0.459016393442623 kappa 0.5909276665304456 kappa 0.41774193548387095 kappa 0.3448275862068965 kb_relative_information_score 0.6139280939002144 kb_relative_information_score 0.25755402673118133 kb_relative_information_score 0.4654388992464511 kb_relative_information_score 0.3763453824541927 kb_relative_information_score 0.40604322138494553 kb_relative_information_score 0.5842302549694616 kb_relative_information_score 0.4654388992464511 kb_relative_information_score 0.6139280939002145 kb_relative_information_score 0.42358901489956663 kb_relative_information_score 0.33257675409423476 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.3246753246753247 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.2727272727272727 mean_absolute_error 0.2597402597402597 mean_absolute_error 0.18181818181818182 mean_absolute_error 0.23376623376623376 mean_absolute_error 0.16883116883116883 mean_absolute_error 0.25 mean_absolute_error 0.2894736842105263 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.4550008433125322 mean_prior_absolute_error 0.45242652084757423 mean_prior_absolute_error 0.45242652084757423 number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 77 [50,27] number_of_instances 76 [50,26] number_of_instances 76 [50,26] precision 0.8299881936245572 [0.836364,0.818182] precision 0.6635182998819362 [0.727273,0.545455] precision 0.7629170829170829 [0.807692,0.68] precision 0.7325174825174825 [0.723077,0.75] precision 0.7337348641696468 [0.777778,0.652174] precision 0.8159440559440558 [0.846154,0.76] precision 0.7606679035250463 [0.785714,0.714286] precision 0.8503433042367468 [0.803279,0.9375] precision 0.7424242424242424 [0.781818,0.666667] precision 0.7056342780026992 [0.769231,0.583333] predictive_accuracy 0.8311688311688311 predictive_accuracy 0.6753246753246753 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.8181818181818181 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.8311688311688311 predictive_accuracy 0.75 predictive_accuracy 0.7105263157894737 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9346519933901933 prior_entropy 0.9269862002370954 prior_entropy 0.9269862002370954 relative_absolute_error 0.3710568261852685 relative_absolute_error 0.7135708195870546 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.599399488453126 relative_absolute_error 0.5708566556696436 relative_absolute_error 0.3995996589687507 relative_absolute_error 0.5137709901026793 relative_absolute_error 0.3710568261852685 relative_absolute_error 0.5525759178123575 relative_absolute_error 0.6398247469406244 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4771750938215478 root_mean_prior_squared_error 0.4744699650121647 root_mean_prior_squared_error 0.4744699650121647 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.5698028822981898 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.5222329678670935 root_mean_squared_error 0.5096471914376255 root_mean_squared_error 0.4264014327112209 root_mean_squared_error 0.48349377841522817 root_mean_squared_error 0.4108907018066591 root_mean_squared_error 0.5 root_mean_squared_error 0.5380275868489703 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.1941169806974095 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 1.0944262905356 root_relative_squared_error 1.0680506967704846 root_relative_squared_error 0.8935953242997315 root_relative_squared_error 1.0132418574973725 root_relative_squared_error 0.8610900005613504 root_relative_squared_error 1.0538074838671416 root_relative_squared_error 1.133954995096847 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 0.7933333333333333 [0.92,0.666667] unweighted_recall 0.6222222222222222 [0.8,0.444444] unweighted_recall 0.7348148148148148 [0.84,0.62963] unweighted_recall 0.6366666666666666 [0.94,0.333333] unweighted_recall 0.6977777777777778 [0.84,0.555556] unweighted_recall 0.7918518518518518 [0.88,0.703704] unweighted_recall 0.7177777777777778 [0.88,0.555556] unweighted_recall 0.7677777777777778 [0.98,0.555556] unweighted_recall 0.6992307692307692 [0.86,0.538462] unweighted_recall 0.6692307692307693 [0.8,0.538462] usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 46.875 usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 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 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 31.25 usercpu_time_millis_training 15.625 usercpu_time_millis_training 31.25 usercpu_time_millis_training 31.25 usercpu_time_millis_training 31.25 usercpu_time_millis_training 15.625 usercpu_time_millis_training 31.25 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 wall_clock_time_millis 29.984712600708008 wall_clock_time_millis 31.980037689208984 wall_clock_time_millis 30.976533889770508 wall_clock_time_millis 39.97802734375 wall_clock_time_millis 37.972450256347656 wall_clock_time_millis 31.983137130737305 wall_clock_time_millis 28.981685638427734 wall_clock_time_millis 29.9835205078125 wall_clock_time_millis 28.98120880126953 wall_clock_time_millis 27.96316146850586 wall_clock_time_millis_testing 6.998300552368164 wall_clock_time_millis_testing 11.014461517333984 wall_clock_time_millis_testing 5.996227264404297 wall_clock_time_millis_testing 13.990640640258789 wall_clock_time_millis_testing 6.992816925048828 wall_clock_time_millis_testing 6.9942474365234375 wall_clock_time_millis_testing 6.994724273681641 wall_clock_time_millis_testing 7.994651794433594 wall_clock_time_millis_testing 6.016016006469727 wall_clock_time_millis_testing 5.995512008666992 wall_clock_time_millis_training 22.986412048339844 wall_clock_time_millis_training 20.965576171875 wall_clock_time_millis_training 24.98030662536621 wall_clock_time_millis_training 25.98738670349121 wall_clock_time_millis_training 30.979633331298828 wall_clock_time_millis_training 24.988889694213867 wall_clock_time_millis_training 21.986961364746094 wall_clock_time_millis_training 21.988868713378906 wall_clock_time_millis_training 22.965192794799805 wall_clock_time_millis_training 21.967649459838867 weighted_recall 0.8311688311688312 [0.92,0.666667] weighted_recall 0.6753246753246753 [0.8,0.444444] weighted_recall 0.7662337662337663 [0.84,0.62963] weighted_recall 0.7272727272727273 [0.94,0.333333] weighted_recall 0.7402597402597403 [0.84,0.555556] weighted_recall 0.8181818181818182 [0.88,0.703704] weighted_recall 0.7662337662337663 [0.88,0.555556] weighted_recall 0.8311688311688312 [0.98,0.555556] weighted_recall 0.75 [0.86,0.538462] weighted_recall 0.7105263157894737 [0.8,0.538462]