10590960 32117 VAIBHAV JAISWAL 9983 Supervised Classification 19157 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._logistic.LogisticRegression)(1) 8304384 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 19157 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"}}] 19157 verbose false 19157 C 1.0 19158 class_weight null 19158 dual false 19158 fit_intercept true 19158 intercept_scaling 1 19158 l1_ratio null 19158 max_iter 5000 19158 multi_class "auto" 19158 n_jobs null 19158 penalty "l2" 19158 random_state 43378 19158 solver "lbfgs" 19158 tol 0.0001 19158 verbose 0 19158 warm_start false 19158 openml-python Sklearn_1.0.2. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 22109516 description https://api.openml.org/data/download/22109516/description.xml -1 22109517 predictions https://api.openml.org/data/download/22109517/predictions.arff area_under_roc_curve 0.6194266657955008 [0.619427,0.619427] average_cost 0 f_measure 0.5772679237842102 [0.675795,0.456259] kappa 0.15257040495125657 kb_relative_information_score 0.0659850107960368 mean_absolute_error 0.4666991780916342 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.5937917222963952 [0.768076,0.379741] number_of_instances 14980 [8257,6723] precision 0.588987593184929 [0.603311,0.571397] predictive_accuracy 0.5937917222963952 prior_entropy 0.9924223735239917 relative_absolute_error 0.9432887542190965 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.4827682342551969 root_relative_squared_error 0.9706391439123252 total_cost 0 unweighted_recall 0.5739083796059185 [0.768076,0.379741] area_under_roc_curve 0.6109531736423383 [0.610953,0.610953] area_under_roc_curve 0.6184981407817364 [0.618498,0.618498] area_under_roc_curve 0.6064294361812521 [0.606429,0.606429] area_under_roc_curve 0.6039829067220108 [0.603983,0.603983] area_under_roc_curve 0.6609556958376572 [0.660956,0.660956] area_under_roc_curve 0.625870157384988 [0.62587,0.62587] area_under_roc_curve 0.6028677360774818 [0.602868,0.602868] area_under_roc_curve 0.6108280426853978 [0.610828,0.610828] area_under_roc_curve 0.6170597505515781 [0.61706,0.61706] area_under_roc_curve 0.6270971227880588 [0.627097,0.627097] 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 0.5612323081713257 [0.667372,0.430769] f_measure 0.5820197472982022 [0.687631,0.452206] f_measure 0.572132955705297 [0.67023,0.451556] f_measure 0.5721132768213597 [0.658643,0.465753] f_measure 0.6253415620740214 [0.696182,0.538267] f_measure 0.5736749886776686 [0.67411,0.450224] f_measure 0.5511621447497473 [0.66457,0.411765] f_measure 0.5803550438928056 [0.682515,0.455122] f_measure 0.5667090428775955 [0.675761,0.433028] f_measure 0.5845703119439991 [0.681237,0.466071] kappa 0.12213859939739388 kappa 0.1661610878661089 kappa 0.14135029328755183 kappa 0.13691830403309213 kappa 0.24291477104303347 kappa 0.14569467418627977 kappa 0.10460251046025111 kappa 0.16135420683847615 kappa 0.1360418389268511 kappa 0.16754421995022759 kb_relative_information_score 0.06172364894328477 kb_relative_information_score 0.06069354334249247 kb_relative_information_score 0.06183795580229957 kb_relative_information_score 0.05728814047771987 kb_relative_information_score 0.09601838690009541 kb_relative_information_score 0.07064274582010771 kb_relative_information_score 0.05873270412628964 kb_relative_information_score 0.06308202118134928 kb_relative_information_score 0.06348135709694289 kb_relative_information_score 0.06635060963279944 mean_absolute_error 0.46819658022136296 mean_absolute_error 0.4693313722857106 mean_absolute_error 0.46806746891376816 mean_absolute_error 0.47004250444942003 mean_absolute_error 0.45442654264491017 mean_absolute_error 0.46474846434719586 mean_absolute_error 0.46925284942940193 mean_absolute_error 0.4681147994219821 mean_absolute_error 0.4678674005091861 mean_absolute_error 0.4669437986934324 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 0.5732727040767986 [0.592488,0.549654] precision 0.5995832729814453 [0.606285,0.591346] precision 0.5823729652782075 [0.6,0.560706] precision 0.5772867890989201 [0.600798,0.548387] precision 0.6312114967181636 [0.641182,0.618956] precision 0.5855356302099731 [0.600948,0.566591] precision 0.5646478351057963 [0.585952,0.538462] precision 0.5953678504533351 [0.604869,0.583721] precision 0.5823577140900692 [0.595745,0.565947] precision 0.5971651881241904 [0.607992,0.583893] predictive_accuracy 0.5801068090787717 predictive_accuracy 0.6021361815754339 predictive_accuracy 0.5881174899866489 predictive_accuracy 0.5834445927903872 predictive_accuracy 0.6335113484646194 predictive_accuracy 0.5907877169559412 predictive_accuracy 0.5727636849132176 predictive_accuracy 0.5987983978638184 predictive_accuracy 0.5874499332443258 predictive_accuracy 0.6008010680907877 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 0.9463545134810303 relative_absolute_error 0.9486482414519825 relative_absolute_error 0.9460935438929441 relative_absolute_error 0.9500856358312617 relative_absolute_error 0.9185214669322532 relative_absolute_error 0.9393849196002276 relative_absolute_error 0.9484895250866388 relative_absolute_error 0.9460585083676013 relative_absolute_error 0.9455585159582595 relative_absolute_error 0.9436919196506518 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 0.48338121436523646 root_mean_squared_error 0.4838086319629996 root_mean_squared_error 0.48369586079864857 root_mean_squared_error 0.4862114018548171 root_mean_squared_error 0.4776358025361239 root_mean_squared_error 0.47991461290261733 root_mean_squared_error 0.48551639033285626 root_mean_squared_error 0.48344975185754335 root_mean_squared_error 0.48263309033789936 root_mean_squared_error 0.4813748570131613 root_relative_squared_error 0.9719118649214495 root_relative_squared_error 0.9727712533755246 root_relative_squared_error 0.9725445097011811 root_relative_squared_error 0.9776023897480873 root_relative_squared_error 0.960359835674911 root_relative_squared_error 0.9649417324621277 root_relative_squared_error 0.9762049627807652 root_relative_squared_error 0.9719153977248715 root_relative_squared_error 0.9702736016486057 root_relative_squared_error 0.9677440805607475 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 0.5590445924132365 [0.763923,0.354167] unweighted_recall 0.5801301452784503 [0.794189,0.366071] unweighted_recall 0.5685280468119451 [0.75908,0.377976] unweighted_recall 0.5667877320419693 [0.728814,0.404762] unweighted_recall 0.6188458434221146 [0.761501,0.47619] unweighted_recall 0.5705331920903955 [0.767554,0.373512] unweighted_recall 0.5504439063761097 [0.767554,0.333333] unweighted_recall 0.5779936061956865 [0.78303,0.372957] unweighted_recall 0.5656373542257643 [0.780606,0.350669] unweighted_recall 0.5811806024584628 [0.774545,0.387816] usercpu_time_millis 234.375 usercpu_time_millis 265.625 usercpu_time_millis 203.125 usercpu_time_millis 171.875 usercpu_time_millis 312.5 usercpu_time_millis 281.25 usercpu_time_millis 343.75 usercpu_time_millis 250 usercpu_time_millis 312.5 usercpu_time_millis 328.125 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_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 234.375 usercpu_time_millis_training 265.625 usercpu_time_millis_training 203.125 usercpu_time_millis_training 171.875 usercpu_time_millis_training 312.5 usercpu_time_millis_training 281.25 usercpu_time_millis_training 343.75 usercpu_time_millis_training 234.375 usercpu_time_millis_training 312.5 usercpu_time_millis_training 328.125 wall_clock_time_millis 163.57159614562988 wall_clock_time_millis 211.8816375732422 wall_clock_time_millis 166.90683364868164 wall_clock_time_millis 179.8992156982422 wall_clock_time_millis 213.8993740081787 wall_clock_time_millis 195.88780403137207 wall_clock_time_millis 240.84186553955078 wall_clock_time_millis 216.87912940979004 wall_clock_time_millis 202.88372039794922 wall_clock_time_millis 223.88386726379395 wall_clock_time_millis_testing 1.9986629486083984 wall_clock_time_millis_testing 2.99835205078125 wall_clock_time_millis_testing 2.9985904693603516 wall_clock_time_millis_testing 2.9985904693603516 wall_clock_time_millis_testing 2.9969215393066406 wall_clock_time_millis_testing 3.0205249786376953 wall_clock_time_millis_testing 1.9981861114501953 wall_clock_time_millis_testing 2.998828887939453 wall_clock_time_millis_testing 2.9954910278320312 wall_clock_time_millis_testing 5.008220672607422 wall_clock_time_millis_training 161.57293319702148 wall_clock_time_millis_training 208.88328552246094 wall_clock_time_millis_training 163.9082431793213 wall_clock_time_millis_training 176.90062522888184 wall_clock_time_millis_training 210.90245246887207 wall_clock_time_millis_training 192.86727905273438 wall_clock_time_millis_training 238.8436794281006 wall_clock_time_millis_training 213.8803005218506 wall_clock_time_millis_training 199.8882293701172 wall_clock_time_millis_training 218.87564659118652 weighted_recall 0.5801068090787717 [0.763923,0.354167] weighted_recall 0.6021361815754339 [0.794189,0.366071] weighted_recall 0.5881174899866488 [0.75908,0.377976] weighted_recall 0.5834445927903872 [0.728814,0.404762] weighted_recall 0.6335113484646195 [0.761501,0.47619] weighted_recall 0.5907877169559412 [0.767554,0.373512] weighted_recall 0.5727636849132176 [0.767554,0.333333] weighted_recall 0.5987983978638184 [0.78303,0.372957] weighted_recall 0.5874499332443258 [0.780606,0.350669] weighted_recall 0.6008010680907877 [0.774545,0.387816]