10591465 32117 VAIBHAV JAISWAL 9983 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. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 22110536 description https://api.openml.org/data/download/22110536/description.xml -1 22110537 predictions https://api.openml.org/data/download/22110537/predictions.arff area_under_roc_curve 0.9612617123948631 [0.961262,0.961262] average_cost 0 f_measure 0.8918661789113665 [0.902904,0.878309] kappa 0.7812359462676889 kb_relative_information_score 0.6971976369431685 mean_absolute_error 0.1592118728363494 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8919893190921229 [0.911106,0.868511] number_of_instances 14980 [8257,6723] precision 0.8919240472742014 [0.89485,0.888331] predictive_accuracy 0.8919893190921228 prior_entropy 0.9924223735239917 relative_absolute_error 0.3217978008849237 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.2781388488296163 root_relative_squared_error 0.5592175188022579 total_cost 0 unweighted_recall 0.8898084049176489 [0.911106,0.868511] area_under_roc_curve 0.9805863023175371 [0.980586,0.980586] area_under_roc_curve 0.9549770119912372 [0.954977,0.954977] area_under_roc_curve 0.9505992015450248 [0.950599,0.950599] area_under_roc_curve 0.9629813789922749 [0.962981,0.962981] area_under_roc_curve 0.9797918107921134 [0.979792,0.979792] area_under_roc_curve 0.9564038539144473 [0.956404,0.956404] area_under_roc_curve 0.9582036204312234 [0.958204,0.958204] area_under_roc_curve 0.9573974514836329 [0.957397,0.957397] area_under_roc_curve 0.9497699130982936 [0.94977,0.94977] area_under_roc_curve 0.9567364581926247 [0.956736,0.956736] 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 0.9290758836841557 [0.936905,0.919453] f_measure 0.8817457144702157 [0.893566,0.867217] f_measure 0.868459442716209 [0.885246,0.847826] f_measure 0.8928378493621254 [0.905325,0.877489] f_measure 0.9286383722984354 [0.934637,0.921266] f_measure 0.8898136703296295 [0.900422,0.876774] f_measure 0.8884267475509944 [0.899579,0.874719] f_measure 0.8846317625123507 [0.89406,0.873074] f_measure 0.8718371786721184 [0.887977,0.852053] f_measure 0.8826608915148019 [0.891892,0.871345] kappa 0.8564085683901353 kappa 0.760795705715188 kappa 0.7334519572953736 kappa 0.7829559573011488 kappa 0.8559167390292094 kappa 0.7771986724044371 kappa 0.7743100726239344 kappa 0.7671643453838786 kappa 0.7403859938843471 kappa 0.7632883639164874 kb_relative_information_score 0.7966312873594613 kb_relative_information_score 0.6706391524654315 kb_relative_information_score 0.6459083660585406 kb_relative_information_score 0.6867814226483132 kb_relative_information_score 0.7920609659406537 kb_relative_information_score 0.6837331735408361 kb_relative_information_score 0.6821572451946092 kb_relative_information_score 0.6823950181051768 kb_relative_information_score 0.6479649800632444 kb_relative_information_score 0.6837202168348396 mean_absolute_error 0.10719452102999313 mean_absolute_error 0.1733639193983469 mean_absolute_error 0.18550638471841033 mean_absolute_error 0.1654797852807715 mean_absolute_error 0.11051728588306131 mean_absolute_error 0.16591977252179893 mean_absolute_error 0.16737933508572056 mean_absolute_error 0.16701106485294004 mean_absolute_error 0.18450985056539532 mean_absolute_error 0.1652368090270585 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.49480533738838384 mean_prior_absolute_error 0.49480533738838384 mean_prior_absolute_error 0.49480533738838384 number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [825,673] number_of_instances 1498 [825,673] number_of_instances 1498 [825,673] precision 0.9295734773949015 [0.921546,0.939441] precision 0.8817450760026871 [0.887694,0.874433] precision 0.8702512440830197 [0.857143,0.886364] precision 0.8936568860127558 [0.885417,0.903785] precision 0.9288925742654225 [0.94328,0.911208] precision 0.8897942135245006 [0.897714,0.88006] precision 0.8884323232587367 [0.893668,0.881997] precision 0.8849796332451496 [0.903465,0.862319] precision 0.8735885981740487 [0.860227,0.889968] precision 0.8831937409269321 [0.90411,0.857554] predictive_accuracy 0.9292389853137517 predictive_accuracy 0.8818424566088118 predictive_accuracy 0.8691588785046729 predictive_accuracy 0.8931909212283045 predictive_accuracy 0.9285714285714286 predictive_accuracy 0.8898531375166889 predictive_accuracy 0.8885180240320427 predictive_accuracy 0.8845126835781042 predictive_accuracy 0.8724966622162884 predictive_accuracy 0.8825100133511349 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.992560912165838 prior_entropy 0.992560912165838 prior_entropy 0.992560912165838 relative_absolute_error 0.21666971328412646 relative_absolute_error 0.3504163305076212 relative_absolute_error 0.3749596043072632 relative_absolute_error 0.33448031939124445 relative_absolute_error 0.22338593815371113 relative_absolute_error 0.33536965504428046 relative_absolute_error 0.3383198338333312 relative_absolute_error 0.33752882645614896 relative_absolute_error 0.3728938162616654 relative_absolute_error 0.3339430611221569 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4974195830102464 root_mean_prior_squared_error 0.4974195830102464 root_mean_prior_squared_error 0.4974195830102464 root_mean_squared_error 0.2316783446372047 root_mean_squared_error 0.28983927487705924 root_mean_squared_error 0.2996824428295416 root_mean_squared_error 0.2780025398385481 root_mean_squared_error 0.2306817548607477 root_mean_squared_error 0.28625453113571375 root_mean_squared_error 0.2839761655117229 root_mean_squared_error 0.2837193460747007 root_mean_squared_error 0.29900429599451184 root_mean_squared_error 0.2883350921935247 root_relative_squared_error 0.46582474723174433 root_relative_squared_error 0.5827661932273517 root_relative_squared_error 0.6025573879141268 root_relative_squared_error 0.5589666269968611 root_relative_squared_error 0.46382095105718707 root_relative_squared_error 0.5755585176467196 root_relative_squared_error 0.570977515082328 root_relative_squared_error 0.5703823407146724 root_relative_squared_error 0.6011108251609639 root_relative_squared_error 0.5796617223001155 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 0.9265410613397902 [0.952785,0.900298] unweighted_recall 0.8798173930589185 [0.899516,0.860119] unweighted_recall 0.8638771186440678 [0.915254,0.8125] unweighted_recall 0.8894143462469734 [0.92615,0.852679] unweighted_recall 0.9288488700564972 [0.92615,0.931548] unweighted_recall 0.888329802259887 [0.903148,0.873512] unweighted_recall 0.8865642655367232 [0.905569,0.86756] unweighted_recall 0.8844747624836777 [0.884848,0.884101] unweighted_recall 0.8674060065739115 [0.917576,0.817236] unweighted_recall 0.8827934621099554 [0.88,0.885587] usercpu_time_millis 93937.5 usercpu_time_millis 113984.375 usercpu_time_millis 85171.875 usercpu_time_millis 107187.5 usercpu_time_millis 66453.125 usercpu_time_millis 119984.375 usercpu_time_millis 118968.75 usercpu_time_millis 121968.75 usercpu_time_millis 87890.625 usercpu_time_millis 137468.75 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 31.25 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 93937.5 usercpu_time_millis_training 113984.375 usercpu_time_millis_training 85171.875 usercpu_time_millis_training 107156.25 usercpu_time_millis_training 66453.125 usercpu_time_millis_training 119984.375 usercpu_time_millis_training 118968.75 usercpu_time_millis_training 121968.75 usercpu_time_millis_training 87890.625 usercpu_time_millis_training 137453.125 wall_clock_time_millis 77104.87103462219 wall_clock_time_millis 94706.86292648315 wall_clock_time_millis 70982.49840736389 wall_clock_time_millis 86087.3692035675 wall_clock_time_millis 55505.029916763306 wall_clock_time_millis 99074.74899291992 wall_clock_time_millis 96822.39890098572 wall_clock_time_millis 100871.10996246338 wall_clock_time_millis 71964.65110778809 wall_clock_time_millis 111528.27954292297 wall_clock_time_millis_testing 4.998207092285156 wall_clock_time_millis_testing 5.019187927246094 wall_clock_time_millis_testing 5.999326705932617 wall_clock_time_millis_testing 5.992412567138672 wall_clock_time_millis_testing 5.013942718505859 wall_clock_time_millis_testing 3.998994827270508 wall_clock_time_millis_testing 5.993127822875977 wall_clock_time_millis_testing 4.997730255126953 wall_clock_time_millis_testing 4.998683929443359 wall_clock_time_millis_testing 4.998445510864258 wall_clock_time_millis_training 77099.8728275299 wall_clock_time_millis_training 94701.84373855591 wall_clock_time_millis_training 70976.49908065796 wall_clock_time_millis_training 86081.37679100037 wall_clock_time_millis_training 55500.0159740448 wall_clock_time_millis_training 99070.74999809265 wall_clock_time_millis_training 96816.40577316284 wall_clock_time_millis_training 100866.11223220825 wall_clock_time_millis_training 71959.65242385864 wall_clock_time_millis_training 111523.28109741211 weighted_recall 0.9292389853137517 [0.952785,0.900298] weighted_recall 0.8818424566088118 [0.899516,0.860119] weighted_recall 0.8691588785046729 [0.915254,0.8125] weighted_recall 0.8931909212283045 [0.92615,0.852679] weighted_recall 0.9285714285714286 [0.92615,0.931548] weighted_recall 0.8898531375166889 [0.903148,0.873512] weighted_recall 0.8885180240320427 [0.905569,0.86756] weighted_recall 0.8845126835781041 [0.884848,0.884101] weighted_recall 0.8724966622162884 [0.917576,0.817236] weighted_recall 0.8825100133511349 [0.88,0.885587]