10591525 32117 VAIBHAV JAISWAL 10101 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. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 22110656 description https://api.openml.org/data/download/22110656/description.xml -1 22110657 predictions https://api.openml.org/data/download/22110657/predictions.arff area_under_roc_curve 0.7593830080820027 [0.759383,0.759383] average_cost 0 f_measure 0.7821548284444422 [0.880524,0.467153] kappa 0.36051904248840594 kb_relative_information_score 0.15888716335015135 mean_absolute_error 0.29495699381999096 mean_prior_absolute_error 0.3630445632798566 weighted_recall 0.8048128342245989 [0.94386,0.359551] number_of_instances 748 [570,178] precision 0.787438622967313 [0.825153,0.666667] predictive_accuracy 0.8048128342245989 prior_entropy 0.7916465694609683 relative_absolute_error 0.8124539620019604 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.3864405001624091 root_relative_squared_error 0.9074782392826394 total_cost 0 unweighted_recall 0.6517051054602799 [0.94386,0.359551] area_under_roc_curve 0.7538986354775828 [0.753899,0.753899] area_under_roc_curve 0.8542884990253411 [0.854288,0.854288] area_under_roc_curve 0.7222222222222222 [0.722222,0.722222] area_under_roc_curve 0.6983430799220274 [0.698343,0.698343] area_under_roc_curve 0.8050682261208577 [0.805068,0.805068] area_under_roc_curve 0.7470760233918129 [0.747076,0.747076] area_under_roc_curve 0.7733918128654971 [0.773392,0.773392] area_under_roc_curve 0.7733918128654971 [0.773392,0.773392] area_under_roc_curve 0.7476780185758514 [0.747678,0.747678] area_under_roc_curve 0.7549019607843137 [0.754902,0.754902] 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 0.7335831381733021 [0.852459,0.357143] f_measure 0.7927868852459018 [0.885246,0.5] f_measure 0.7438482384823847 [0.861789,0.37037] f_measure 0.7993333333333333 [0.883333,0.533333] f_measure 0.7849627791563275 [0.887097,0.461538] f_measure 0.7648 [0.88,0.4] f_measure 0.8223887587822014 [0.901639,0.571429] f_measure 0.8280000000000001 [0.9,0.6] f_measure 0.7768843223388677 [0.876033,0.444444] f_measure 0.7682267633487145 [0.878049,0.4] kappa 0.22413793103448282 kappa 0.3965517241379311 kappa 0.2504409171075837 kappa 0.42244224422442256 kappa 0.36823104693140796 kappa 0.3068391866913125 kappa 0.4827586206896551 kappa 0.504950495049505 kappa 0.3305186972255728 kappa 0.2965779467680606 kb_relative_information_score 0.12549291424249587 kb_relative_information_score 0.24241950136663695 kb_relative_information_score 0.09680930341998652 kb_relative_information_score 0.14781524346658045 kb_relative_information_score 0.2441846530349886 kb_relative_information_score 0.14722078167925734 kb_relative_information_score 0.17569303569249078 kb_relative_information_score 0.16763694497429746 kb_relative_information_score 0.09861075227007948 kb_relative_information_score 0.14025319777589138 mean_absolute_error 0.3058071489152257 mean_absolute_error 0.2730228812593091 mean_absolute_error 0.3139528518600055 mean_absolute_error 0.30264900375934256 mean_absolute_error 0.274694239918322 mean_absolute_error 0.2977731698942687 mean_absolute_error 0.28903675610534013 mean_absolute_error 0.29796882518184004 mean_absolute_error 0.29921847975420274 mean_absolute_error 0.295510785250246 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 0.728 [0.8,0.5] precision 0.7993846153846155 [0.830769,0.7] precision 0.7436363636363637 [0.80303,0.555556] precision 0.7993650793650794 [0.84127,0.666667] precision 0.8038805970149254 [0.820896,0.75] precision 0.7861344537815126 [0.808824,0.714286] precision 0.835076923076923 [0.846154,0.8] precision 0.8314285714285714 [0.857143,0.75] precision 0.7757179054054054 [0.828125,0.6] precision 0.7738022113022114 [0.818182,0.625] predictive_accuracy 0.76 predictive_accuracy 0.8133333333333332 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.8133333333333332 predictive_accuracy 0.8133333333333332 predictive_accuracy 0.8 predictive_accuracy 0.84 predictive_accuracy 0.84 predictive_accuracy 0.7972972972972973 predictive_accuracy 0.7972972972972973 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 0.8398834103062076 relative_absolute_error 0.7498431263530165 relative_absolute_error 0.8622551592756849 relative_absolute_error 0.8312097290885704 relative_absolute_error 0.7544334258779163 relative_absolute_error 0.8178185052757486 relative_absolute_error 0.7938243997326973 relative_absolute_error 0.8183558623347733 relative_absolute_error 0.8340846622982542 relative_absolute_error 0.8237493009235882 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 0.40696695262177485 root_mean_squared_error 0.36273869077514886 root_mean_squared_error 0.40779881531529616 root_mean_squared_error 0.40456672646998076 root_mean_squared_error 0.3689797771264994 root_mean_squared_error 0.3894602861102928 root_mean_squared_error 0.3719706332842469 root_mean_squared_error 0.37414940812920333 root_mean_squared_error 0.39192118853462093 root_mean_squared_error 0.38265858221967086 root_relative_squared_error 0.9528940402986602 root_relative_squared_error 0.849335638676829 root_relative_squared_error 0.9548418077964794 root_relative_squared_error 0.9472740232906964 root_relative_squared_error 0.8639488497763511 root_relative_squared_error 0.9119030014027054 root_relative_squared_error 0.8709517992535702 root_relative_squared_error 0.8760532984085673 root_relative_squared_error 0.9314736772816998 root_relative_squared_error 0.9094593687477354 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 0.5950292397660819 [0.912281,0.277778] unweighted_recall 0.6681286549707602 [0.947368,0.388889] unweighted_recall 0.6038011695906433 [0.929825,0.277778] unweighted_recall 0.6871345029239766 [0.929825,0.444444] unweighted_recall 0.6491228070175439 [0.964912,0.333333] unweighted_recall 0.6213450292397661 [0.964912,0.277778] unweighted_recall 0.7046783625730995 [0.964912,0.444444] unweighted_recall 0.7236842105263157 [0.947368,0.5] unweighted_recall 0.6413828689370485 [0.929825,0.352941] unweighted_recall 0.6207430340557275 [0.947368,0.294118] usercpu_time_millis 781.25 usercpu_time_millis 875 usercpu_time_millis 1000 usercpu_time_millis 1250 usercpu_time_millis 859.375 usercpu_time_millis 953.125 usercpu_time_millis 921.875 usercpu_time_millis 859.375 usercpu_time_millis 671.875 usercpu_time_millis 421.875 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_testing 15.625 usercpu_time_millis_training 781.25 usercpu_time_millis_training 875 usercpu_time_millis_training 1000 usercpu_time_millis_training 1250 usercpu_time_millis_training 859.375 usercpu_time_millis_training 953.125 usercpu_time_millis_training 921.875 usercpu_time_millis_training 859.375 usercpu_time_millis_training 671.875 usercpu_time_millis_training 406.25 wall_clock_time_millis 831.7475318908691 wall_clock_time_millis 866.5263652801514 wall_clock_time_millis 966.4463996887207 wall_clock_time_millis 1203.2909393310547 wall_clock_time_millis 852.5056838989258 wall_clock_time_millis 922.3284721374512 wall_clock_time_millis 885.2784633636475 wall_clock_time_millis 867.7964210510254 wall_clock_time_millis 695.7309246063232 wall_clock_time_millis 407.7475070953369 wall_clock_time_millis_testing 3.001689910888672 wall_clock_time_millis_testing 2.998828887939453 wall_clock_time_millis_testing 2.0020008087158203 wall_clock_time_millis_testing 2.001047134399414 wall_clock_time_millis_testing 2.9985904693603516 wall_clock_time_millis_testing 2.999544143676758 wall_clock_time_millis_testing 1.995086669921875 wall_clock_time_millis_testing 2.9985904693603516 wall_clock_time_millis_testing 1.9981861114501953 wall_clock_time_millis_testing 2.9990673065185547 wall_clock_time_millis_training 828.7458419799805 wall_clock_time_millis_training 863.5275363922119 wall_clock_time_millis_training 964.4443988800049 wall_clock_time_millis_training 1201.2898921966553 wall_clock_time_millis_training 849.5070934295654 wall_clock_time_millis_training 919.3289279937744 wall_clock_time_millis_training 883.2833766937256 wall_clock_time_millis_training 864.797830581665 wall_clock_time_millis_training 693.732738494873 wall_clock_time_millis_training 404.74843978881836 weighted_recall 0.76 [0.912281,0.277778] weighted_recall 0.8133333333333334 [0.947368,0.388889] weighted_recall 0.7733333333333333 [0.929825,0.277778] weighted_recall 0.8133333333333334 [0.929825,0.444444] weighted_recall 0.8133333333333334 [0.964912,0.333333] weighted_recall 0.8 [0.964912,0.277778] weighted_recall 0.84 [0.964912,0.444444] weighted_recall 0.84 [0.947368,0.5] weighted_recall 0.7972972972972973 [0.929825,0.352941] weighted_recall 0.7972972972972973 [0.947368,0.294118]