10591285 32117 VAIBHAV JAISWAL 37 Supervised Classification 19176 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.neural_network._multilayer_perceptron.MLPClassifier)(1) 8304110 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 19176 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"}}] 19176 verbose false 19176 activation "relu" 19177 alpha 0.0001 19177 batch_size "auto" 19177 beta_1 0.9 19177 beta_2 0.999 19177 early_stopping false 19177 epsilon 1e-08 19177 hidden_layer_sizes [100] 19177 learning_rate "constant" 19177 learning_rate_init 0.001 19177 max_fun 15000 19177 max_iter 5000 19177 momentum 0.9 19177 n_iter_no_change 10 19177 nesterovs_momentum true 19177 power_t 0.5 19177 random_state 0 19177 shuffle true 19177 solver "adam" 19177 tol 0.0001 19177 validation_fraction 0.1 19177 verbose false 19177 warm_start false 19177 openml-python Sklearn_1.0.2. 37 diabetes https://www.openml.org/data/download/37/dataset_37_diabetes.arff -1 22110176 description https://api.openml.org/data/download/22110176/description.xml -1 22110177 predictions https://api.openml.org/data/download/22110177/predictions.arff area_under_roc_curve 0.7667164179104478 [0.766716,0.766716] average_cost 0 f_measure 0.722962512025012 [0.789683,0.598485] kappa 0.3882409522664423 kb_relative_information_score 0.3353221492697758 mean_absolute_error 0.29368795504431877 mean_prior_absolute_error 0.4544913419913401 weighted_recall 0.7239583333333334 [0.796,0.589552] number_of_instances 768 [500,268] precision 0.7221273722996164 [0.783465,0.607692] predictive_accuracy 0.7239583333333333 prior_entropy 0.9331348051619819 relative_absolute_error 0.6461904285294717 root_mean_prior_squared_error 0.4766409223329586 root_mean_squared_error 0.47454229507274176 root_relative_squared_error 0.9955970476686204 total_cost 0 unweighted_recall 0.6927761194029851 [0.796,0.589552] area_under_roc_curve 0.8570370370370372 [0.857037,0.857037] area_under_roc_curve 0.6711111111111112 [0.671111,0.671111] area_under_roc_curve 0.7844444444444445 [0.784444,0.784444] area_under_roc_curve 0.8 [0.8,0.8] area_under_roc_curve 0.6703703703703704 [0.67037,0.67037] area_under_roc_curve 0.7777777777777778 [0.777778,0.777778] area_under_roc_curve 0.731851851851852 [0.731852,0.731852] area_under_roc_curve 0.8503703703703703 [0.85037,0.85037] area_under_roc_curve 0.7553846153846154 [0.755385,0.755385] area_under_roc_curve 0.7923076923076922 [0.792308,0.792308] 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 0.7937980386959977 [0.836735,0.714286] f_measure 0.6507902474883608 [0.754717,0.458333] f_measure 0.7559244878832507 [0.804124,0.666667] f_measure 0.7313771134525852 [0.811321,0.583333] f_measure 0.6531558512025142 [0.721649,0.526316] f_measure 0.7142857142857143 [0.78,0.592593] f_measure 0.6738690041510889 [0.752475,0.528302] f_measure 0.7348651348651349 [0.807692,0.6] f_measure 0.736842105263158 [0.8,0.615385] f_measure 0.7772962996398944 [0.828283,0.679245] kappa 0.5513474144209761 kappa 0.21857923497267753 kappa 0.4716504153123872 kappa 0.3989071038251366 kappa 0.24918743228602383 kappa 0.37259259259259264 kappa 0.28091146806126266 kappa 0.4095092024539878 kappa 0.41538461538461535 kappa 0.5076219512195121 kb_relative_information_score 0.479378933095803 kb_relative_information_score 0.2313923762000526 kb_relative_information_score 0.40490743565050935 kb_relative_information_score 0.3715987326418564 kb_relative_information_score 0.1438476141192316 kb_relative_information_score 0.31050523262063895 kb_relative_information_score 0.24638363774294267 kb_relative_information_score 0.41436970082448255 kb_relative_information_score 0.341240794111904 kb_relative_information_score 0.411324107014261 mean_absolute_error 0.2313838038787689 mean_absolute_error 0.3369451627549882 mean_absolute_error 0.26615004083255667 mean_absolute_error 0.2804534122591852 mean_absolute_error 0.3772459868195924 mean_absolute_error 0.3066406952149394 mean_absolute_error 0.3290862941657273 mean_absolute_error 0.2546208194667194 mean_absolute_error 0.2886946221336527 mean_absolute_error 0.2652242053507697 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 0.7964808180325421 [0.854167,0.689655] precision 0.6474953617810761 [0.714286,0.52381] precision 0.7609008013263333 [0.829787,0.633333] precision 0.7323747680890539 [0.767857,0.666667] precision 0.6588836695219673 [0.744681,0.5] precision 0.7142857142857143 [0.78,0.592593] precision 0.6726410844057903 [0.745098,0.538462] precision 0.7337348641696468 [0.777778,0.652174] precision 0.7368421052631579 [0.8,0.615385] precision 0.7785535266738275 [0.836735,0.666667] predictive_accuracy 0.7922077922077922 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.7532467532467533 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.6753246753246753 predictive_accuracy 0.7402597402597402 predictive_accuracy 0.736842105263158 predictive_accuracy 0.7763157894736843 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 0.5085348901646658 relative_absolute_error 0.7405374467043491 relative_absolute_error 0.5849440605316478 relative_absolute_error 0.6163799834246606 relative_absolute_error 0.8291105222424142 relative_absolute_error 0.6739343447860672 relative_absolute_error 0.7232652400595302 relative_absolute_error 0.5596051594388469 relative_absolute_error 0.6381027831719794 relative_absolute_error 0.5862260347910189 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 0.4273994710434018 root_mean_squared_error 0.5148461357592632 root_mean_squared_error 0.44724248976812747 root_mean_squared_error 0.4433578452189449 root_mean_squared_error 0.5480522794357012 root_mean_squared_error 0.46119109295814464 root_mean_squared_error 0.5262749799487585 root_mean_squared_error 0.4458721459517242 root_mean_squared_error 0.47756043764926137 root_mean_squared_error 0.4361983447586208 root_relative_squared_error 0.8956868800936184 root_relative_squared_error 1.0789459517595934 root_relative_squared_error 0.9372712355674321 root_relative_squared_error 0.9291303149714478 root_relative_squared_error 1.1485349644855098 root_relative_squared_error 0.9665028601233309 root_relative_squared_error 1.102897001044176 root_relative_squared_error 0.9343994515322919 root_relative_squared_error 1.0065135263873182 root_relative_squared_error 0.9193381603141882 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 0.7803703703703704 [0.82,0.740741] unweighted_recall 0.6037037037037037 [0.8,0.407407] unweighted_recall 0.7418518518518519 [0.78,0.703704] unweighted_recall 0.6892592592592592 [0.86,0.518519] unweighted_recall 0.6277777777777778 [0.7,0.555556] unweighted_recall 0.6862962962962963 [0.78,0.592593] unweighted_recall 0.6392592592592592 [0.76,0.518519] unweighted_recall 0.6977777777777778 [0.84,0.555556] unweighted_recall 0.7076923076923077 [0.8,0.615385] unweighted_recall 0.7561538461538462 [0.82,0.692308] usercpu_time_millis 16140.625 usercpu_time_millis 11781.25 usercpu_time_millis 14218.75 usercpu_time_millis 11828.125 usercpu_time_millis 14406.25 usercpu_time_millis 15609.375 usercpu_time_millis 14625 usercpu_time_millis 13734.375 usercpu_time_millis 13484.375 usercpu_time_millis 11562.5 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_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 16140.625 usercpu_time_millis_training 11781.25 usercpu_time_millis_training 14218.75 usercpu_time_millis_training 11828.125 usercpu_time_millis_training 14406.25 usercpu_time_millis_training 15593.75 usercpu_time_millis_training 14625 usercpu_time_millis_training 13734.375 usercpu_time_millis_training 13484.375 usercpu_time_millis_training 11562.5 wall_clock_time_millis 15741.796731948853 wall_clock_time_millis 11488.569498062134 wall_clock_time_millis 13873.39973449707 wall_clock_time_millis 11798.36893081665 wall_clock_time_millis 14057.153701782227 wall_clock_time_millis 15662.670612335205 wall_clock_time_millis 14502.41756439209 wall_clock_time_millis 13680.301666259766 wall_clock_time_millis 13321.422100067139 wall_clock_time_millis 11439.30435180664 wall_clock_time_millis_testing 2.999544143676758 wall_clock_time_millis_testing 2.9973983764648438 wall_clock_time_millis_testing 3.021717071533203 wall_clock_time_millis_testing 2.9985904693603516 wall_clock_time_millis_testing 1.9953250885009766 wall_clock_time_millis_testing 3.996610641479492 wall_clock_time_millis_testing 1.9984245300292969 wall_clock_time_millis_testing 1.9986629486083984 wall_clock_time_millis_testing 2.9981136322021484 wall_clock_time_millis_testing 2.021312713623047 wall_clock_time_millis_training 15738.797187805176 wall_clock_time_millis_training 11485.572099685669 wall_clock_time_millis_training 13870.378017425537 wall_clock_time_millis_training 11795.37034034729 wall_clock_time_millis_training 14055.158376693726 wall_clock_time_millis_training 15658.674001693726 wall_clock_time_millis_training 14500.41913986206 wall_clock_time_millis_training 13678.303003311157 wall_clock_time_millis_training 13318.423986434937 wall_clock_time_millis_training 11437.283039093018 weighted_recall 0.7922077922077922 [0.82,0.740741] weighted_recall 0.6623376623376623 [0.8,0.407407] weighted_recall 0.7532467532467533 [0.78,0.703704] weighted_recall 0.7402597402597403 [0.86,0.518519] weighted_recall 0.6493506493506493 [0.7,0.555556] weighted_recall 0.7142857142857143 [0.78,0.592593] weighted_recall 0.6753246753246753 [0.76,0.518519] weighted_recall 0.7402597402597403 [0.84,0.555556] weighted_recall 0.7368421052631579 [0.8,0.615385] weighted_recall 0.7763157894736842 [0.82,0.692308]