10589102 32117 VAIBHAV JAISWAL 9983 Supervised Classification 19159 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.linear_model._stochastic_gradient.SGDClassifier)(1) 8304102 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 19159 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"}}] 19159 verbose false 19159 alpha 0.0001 19160 average false 19160 class_weight null 19160 early_stopping false 19160 epsilon 0.1 19160 eta0 0.0 19160 fit_intercept true 19160 l1_ratio 0.15 19160 learning_rate "optimal" 19160 loss "hinge" 19160 max_iter 1000 19160 n_iter_no_change 5 19160 n_jobs null 19160 penalty "l2" 19160 power_t 0.5 19160 random_state 0 19160 shuffle true 19160 tol 0.001 19160 validation_fraction 0.1 19160 verbose 0 19160 warm_start false 19160 openml-python Sklearn_1.0.2. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 22105771 description https://api.openml.org/data/download/22105771/description.xml -1 22105772 predictions https://api.openml.org/data/download/22105772/predictions.arff area_under_roc_curve 0.564616537190617 [0.564617,0.564617] average_cost 0 f_measure 0.5411057849376694 [0.715865,0.326471] kappa 0.13791680162360498 kb_relative_information_score 0.1884411414275911 mean_absolute_error 0.39966622162883847 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.6003337783711615 [0.913407,0.215826] number_of_instances 14980 [8257,6723] precision 0.6250728230704764 [0.588575,0.669898] predictive_accuracy 0.6003337783711615 prior_entropy 0.9924223735239917 relative_absolute_error 0.8078022632165383 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.6321916019917051 root_relative_squared_error 1.2710652271736216 total_cost 0 unweighted_recall 0.564616537190617 [0.913407,0.215826] area_under_roc_curve 0.5612515133171913 [0.561252,0.561252] area_under_roc_curve 0.5591328692493946 [0.559133,0.559133] area_under_roc_curve 0.5697639225181598 [0.569764,0.569764] area_under_roc_curve 0.5469884987893463 [0.546988,0.546988] area_under_roc_curve 0.5964739709443099 [0.596474,0.596474] area_under_roc_curve 0.5602804681194512 [0.56028,0.56028] area_under_roc_curve 0.5572916666666666 [0.557292,0.557292] area_under_roc_curve 0.5666324463055518 [0.566632,0.566632] area_under_roc_curve 0.5663766941330092 [0.566377,0.566377] area_under_roc_curve 0.5619982889819443 [0.561998,0.561998] 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 0.5284479621872725 [0.721525,0.291124] f_measure 0.5135657626969548 [0.72876,0.249057] f_measure 0.5581823143046062 [0.706575,0.375783] f_measure 0.5238256826872056 [0.701051,0.305987] f_measure 0.597279373193309 [0.705943,0.463713] f_measure 0.5240834999326383 [0.723326,0.279182] f_measure 0.5262730369464582 [0.716822,0.292056] f_measure 0.5510836217482643 [0.708111,0.358591] f_measure 0.5265848719578948 [0.72994,0.277301] f_measure 0.5376534369027495 [0.713811,0.32171] kappa 0.13161353259175956 kappa 0.12801507023219633 kappa 0.14742171885409722 kappa 0.10011553859795257 kappa 0.20083220666027846 kappa 0.12979783579759133 kappa 0.12290336543664106 kappa 0.14116812079192415 kappa 0.14315874523422448 kappa 0.1322707509995331 kb_relative_information_score 0.1879859004917776 kb_relative_information_score 0.1906971328774479 kb_relative_information_score 0.18934151668461283 kb_relative_information_score 0.15138426328522864 kb_relative_information_score 0.22865438627683207 kb_relative_information_score 0.1879859004917776 kb_relative_information_score 0.17849658714193165 kb_relative_information_score 0.18543712080760325 kb_relative_information_score 0.20170127147367498 kb_relative_information_score 0.1827264290299247 mean_absolute_error 0.3998664886515354 mean_absolute_error 0.3985313751668892 mean_absolute_error 0.3991989319092123 mean_absolute_error 0.417890520694259 mean_absolute_error 0.37983978638184246 mean_absolute_error 0.3998664886515354 mean_absolute_error 0.4045393858477971 mean_absolute_error 0.40120160213618156 mean_absolute_error 0.3931909212283044 mean_absolute_error 0.40253671562082777 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 0.641879718637465 [0.58566,0.710983] precision 0.6826844602855544 [0.583273,0.804878] precision 0.609899954769021 [0.594059,0.629371] precision 0.5883457649105222 [0.578864,0.6] precision 0.6232812600770621 [0.61587,0.632391] precision 0.6497195155468469 [0.584765,0.72956] precision 0.626615073379113 [0.583714,0.679348] precision 0.6112491130554112 [0.590762,0.636364] precision 0.6808066578280368 [0.587021,0.795775] precision 0.6204821650068199 [0.586583,0.662037] predictive_accuracy 0.6001335113484646 predictive_accuracy 0.6014686248331108 predictive_accuracy 0.6008010680907877 predictive_accuracy 0.582109479305741 predictive_accuracy 0.6201602136181575 predictive_accuracy 0.6001335113484646 predictive_accuracy 0.595460614152203 predictive_accuracy 0.5987983978638184 predictive_accuracy 0.6068090787716955 predictive_accuracy 0.5974632843791722 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 0.8082405389340461 relative_absolute_error 0.8055419060828473 relative_absolute_error 0.8068912225084466 relative_absolute_error 0.8446720824252302 relative_absolute_error 0.7677610461660638 relative_absolute_error 0.8082405389340461 relative_absolute_error 0.8176857539132419 relative_absolute_error 0.8108271512464899 relative_absolute_error 0.7946375908222671 relative_absolute_error 0.8135254113171938 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 0.6323499732359728 root_mean_squared_error 0.6312934144808492 root_mean_squared_error 0.6318219147111093 root_mean_squared_error 0.6464445225185678 root_mean_squared_error 0.6163114361926464 root_mean_squared_error 0.6323499732359728 root_mean_squared_error 0.636034107456351 root_mean_squared_error 0.6334047695874903 root_mean_squared_error 0.6270493770256887 root_mean_squared_error 0.634457812325475 root_relative_squared_error 1.2714363394900738 root_relative_squared_error 1.269311966511617 root_relative_squared_error 1.2703745970589748 root_relative_squared_error 1.2997755865923077 root_relative_squared_error 1.2391884076608222 root_relative_squared_error 1.2714363394900738 root_relative_squared_error 1.2788438548306333 root_relative_squared_error 1.2733812483905416 root_relative_squared_error 1.2606045247172588 root_relative_squared_error 1.27549825940891 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 0.5612515133171913 [0.939467,0.183036] unweighted_recall 0.5591328692493946 [0.970944,0.147321] unweighted_recall 0.5697639225181598 [0.871671,0.267857] unweighted_recall 0.5469884987893462 [0.88862,0.205357] unweighted_recall 0.5964739709443099 [0.826877,0.366071] unweighted_recall 0.5602804681194512 [0.947942,0.172619] unweighted_recall 0.5572916666666667 [0.928571,0.186012] unweighted_recall 0.5666324463055519 [0.883636,0.249629] unweighted_recall 0.5663766941330092 [0.964848,0.167905] unweighted_recall 0.5619982889819443 [0.911515,0.212481] usercpu_time_millis 78.125 usercpu_time_millis 78.125 usercpu_time_millis 62.5 usercpu_time_millis 46.875 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 109.375 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 62.5 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_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 78.125 usercpu_time_millis_training 78.125 usercpu_time_millis_training 46.875 usercpu_time_millis_training 46.875 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 109.375 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 wall_clock_time_millis 70.9388256072998 wall_clock_time_millis 81.95209503173828 wall_clock_time_millis 57.9683780670166 wall_clock_time_millis 47.9738712310791 wall_clock_time_millis 68.96066665649414 wall_clock_time_millis 69.96321678161621 wall_clock_time_millis 130.92446327209473 wall_clock_time_millis 64.96286392211914 wall_clock_time_millis 65.9627914428711 wall_clock_time_millis 59.98516082763672 wall_clock_time_millis_testing 3.0012130737304688 wall_clock_time_millis_testing 1.9979476928710938 wall_clock_time_millis_testing 2.0003318786621094 wall_clock_time_millis_testing 1.9996166229248047 wall_clock_time_millis_testing 2.9997825622558594 wall_clock_time_millis_testing 3.0024051666259766 wall_clock_time_millis_testing 2.996206283569336 wall_clock_time_millis_testing 2.9973983764648438 wall_clock_time_millis_testing 1.9984245300292969 wall_clock_time_millis_testing 1.9986629486083984 wall_clock_time_millis_training 67.93761253356934 wall_clock_time_millis_training 79.95414733886719 wall_clock_time_millis_training 55.96804618835449 wall_clock_time_millis_training 45.9742546081543 wall_clock_time_millis_training 65.96088409423828 wall_clock_time_millis_training 66.96081161499023 wall_clock_time_millis_training 127.92825698852539 wall_clock_time_millis_training 61.9654655456543 wall_clock_time_millis_training 63.9643669128418 wall_clock_time_millis_training 57.98649787902832 weighted_recall 0.6001335113484646 [0.939467,0.183036] weighted_recall 0.6014686248331108 [0.970944,0.147321] weighted_recall 0.6008010680907877 [0.871671,0.267857] weighted_recall 0.582109479305741 [0.88862,0.205357] weighted_recall 0.6201602136181575 [0.826877,0.366071] weighted_recall 0.6001335113484646 [0.947942,0.172619] weighted_recall 0.595460614152203 [0.928571,0.186012] weighted_recall 0.5987983978638184 [0.883636,0.249629] weighted_recall 0.6068090787716955 [0.964848,0.167905] weighted_recall 0.5974632843791722 [0.911515,0.212481]