10590949 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) 8304385 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 27050 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 22109494 description https://api.openml.org/data/download/22109494/description.xml -1 22109495 predictions https://api.openml.org/data/download/22109495/predictions.arff area_under_roc_curve 0.57880246421793 [0.578802,0.578802] average_cost 0 f_measure 0.5716014766119442 [0.7073,0.40494] kappa 0.16577753300771922 kb_relative_information_score 0.20321647391203576 mean_absolute_error 0.3923898531375167 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.6076101468624833 [0.860119,0.297486] number_of_instances 14980 [8257,6723] precision 0.6155470307606723 [0.600592,0.633914] predictive_accuracy 0.6076101468624833 prior_entropy 0.9924223735239917 relative_absolute_error 0.7930953237325558 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.6264102913726088 root_relative_squared_error 1.2594414996956358 total_cost 0 unweighted_recall 0.5788024642179301 [0.860119,0.297486] area_under_roc_curve 0.5668760088781275 [0.566876,0.566876] area_under_roc_curve 0.5932077280064568 [0.593208,0.593208] area_under_roc_curve 0.5723743946731235 [0.572374,0.572374] area_under_roc_curve 0.5787303268765133 [0.57873,0.57873] area_under_roc_curve 0.5945066585956417 [0.594507,0.594507] area_under_roc_curve 0.5823748991121872 [0.582375,0.582375] area_under_roc_curve 0.5604317998385795 [0.560432,0.560432] area_under_roc_curve 0.5870439911747489 [0.587044,0.587044] area_under_roc_curve 0.5817263271646629 [0.581726,0.581726] area_under_roc_curve 0.5707776126795443 [0.570778,0.570778] 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 0.5559741206591045 [0.703102,0.37513] f_measure 0.5952507839698281 [0.69906,0.467652] f_measure 0.5595123290724446 [0.710591,0.373812] f_measure 0.5719326303163577 [0.706879,0.406061] f_measure 0.5971374692291803 [0.698163,0.472961] f_measure 0.5715985577934478 [0.716316,0.393717] f_measure 0.5405706945466741 [0.708873,0.333699] f_measure 0.579129379014749 [0.714923,0.412666] f_measure 0.5746452057295229 [0.708873,0.410101] f_measure 0.5600617521815483 [0.705128,0.382231] kappa 0.14117427822221038 kappa 0.19344622713115417 kappa 0.15318501514767324 kappa 0.16559242460412188 kappa 0.19588828042293457 kappa 0.1741471933028515 kappa 0.12858733715267065 kappa 0.18329594392916798 kappa 0.1718256845820183 kappa 0.14927910320476648 kb_relative_information_score 0.18256343572043707 kb_relative_information_score 0.21916507292698614 kb_relative_information_score 0.19611959764878853 kb_relative_information_score 0.20289767861296423 kb_relative_information_score 0.22052068911982117 kb_relative_information_score 0.2150982243484806 kb_relative_information_score 0.1771409709490965 kb_relative_information_score 0.2206761139174254 kb_relative_information_score 0.2084780009178716 kb_relative_information_score 0.18950315847412125 mean_absolute_error 0.40253671562082777 mean_absolute_error 0.38451268357810414 mean_absolute_error 0.39586114819759677 mean_absolute_error 0.3925233644859813 mean_absolute_error 0.38384512683578104 mean_absolute_error 0.38651535380507346 mean_absolute_error 0.40520694259012013 mean_absolute_error 0.38384512683578104 mean_absolute_error 0.38985313751668893 mean_absolute_error 0.3991989319092123 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 0.6038431143242137 [0.592531,0.617747] precision 0.6158692041325305 [0.61489,0.617073] precision 0.6169602027411459 [0.595258,0.643636] precision 0.614856286369247 [0.600847,0.632075] precision 0.6160603596826754 [0.616311,0.615752] precision 0.6297574311833345 [0.601646,0.664311] precision 0.6089593475445879 [0.586974,0.635983] precision 0.6296944162891693 [0.604866,0.660131] precision 0.6192598856525586 [0.602032,0.640379] precision 0.6090704311159826 [0.594347,0.627119] predictive_accuracy 0.5974632843791722 predictive_accuracy 0.6154873164218959 predictive_accuracy 0.6041388518024032 predictive_accuracy 0.6074766355140188 predictive_accuracy 0.616154873164219 predictive_accuracy 0.6134846461949266 predictive_accuracy 0.5947930574098799 predictive_accuracy 0.616154873164219 predictive_accuracy 0.6101468624833111 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 0.8136378046364438 relative_absolute_error 0.7772062611452597 relative_absolute_error 0.8001446403804496 relative_absolute_error 0.7933980582524525 relative_absolute_error 0.7758569447196603 relative_absolute_error 0.781254210422058 relative_absolute_error 0.8190350703388413 relative_absolute_error 0.7757497703273405 relative_absolute_error 0.7878919406455077 relative_absolute_error 0.8067797611404344 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 0.634457812325475 root_mean_squared_error 0.6200908671945622 root_mean_squared_error 0.6291749742302191 root_mean_squared_error 0.6265168509194157 root_mean_squared_error 0.6195523600437505 root_mean_squared_error 0.6217035899888896 root_mean_squared_error 0.6365586717578515 root_mean_squared_error 0.6195523600437505 root_mean_squared_error 0.6243822046765017 root_mean_squared_error 0.6318219147111093 root_relative_squared_error 1.2756744723747429 root_relative_squared_error 1.2467875317563617 root_relative_squared_error 1.2650525183710468 root_relative_squared_error 1.2597079548931576 root_relative_squared_error 1.2457047807646702 root_relative_squared_error 1.2500301576012538 root_relative_squared_error 1.2798985715912177 root_relative_squared_error 1.2455327076075093 root_relative_squared_error 1.2552425075384297 root_relative_squared_error 1.2701991161817494 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 0.5668760088781275 [0.864407,0.269345] unweighted_recall 0.5932077280064568 [0.809927,0.376488] unweighted_recall 0.5723743946731235 [0.881356,0.263393] unweighted_recall 0.5787303268765133 [0.858354,0.299107] unweighted_recall 0.5945066585956417 [0.805085,0.383929] unweighted_recall 0.5823748991121873 [0.884988,0.279762] unweighted_recall 0.5604317998385795 [0.894673,0.22619] unweighted_recall 0.5870439911747489 [0.873939,0.300149] unweighted_recall 0.581726327164663 [0.861818,0.301634] unweighted_recall 0.5707776126795443 [0.866667,0.274889] usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 62.5 usercpu_time_millis 78.125 usercpu_time_millis 78.125 usercpu_time_millis 109.375 usercpu_time_millis 93.75 usercpu_time_millis 125 usercpu_time_millis 125 usercpu_time_millis 78.125 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 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_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 62.5 usercpu_time_millis_training 78.125 usercpu_time_millis_training 62.5 usercpu_time_millis_training 109.375 usercpu_time_millis_training 93.75 usercpu_time_millis_training 125 usercpu_time_millis_training 109.375 usercpu_time_millis_training 78.125 wall_clock_time_millis 70.98031044006348 wall_clock_time_millis 71.37608528137207 wall_clock_time_millis 68.96424293518066 wall_clock_time_millis 86.97319030761719 wall_clock_time_millis 65.95969200134277 wall_clock_time_millis 109.91835594177246 wall_clock_time_millis 89.94793891906738 wall_clock_time_millis 126.92880630493164 wall_clock_time_millis 166.90611839294434 wall_clock_time_millis 74.95427131652832 wall_clock_time_millis_testing 1.9984245300292969 wall_clock_time_millis_testing 3.4368038177490234 wall_clock_time_millis_testing 1.9803047180175781 wall_clock_time_millis_testing 1.9991397857666016 wall_clock_time_millis_testing 2.9993057250976562 wall_clock_time_millis_testing 4.976749420166016 wall_clock_time_millis_testing 2.997159957885742 wall_clock_time_millis_testing 3.998994827270508 wall_clock_time_millis_testing 6.997346878051758 wall_clock_time_millis_testing 2.9993057250976562 wall_clock_time_millis_training 68.98188591003418 wall_clock_time_millis_training 67.93928146362305 wall_clock_time_millis_training 66.98393821716309 wall_clock_time_millis_training 84.97405052185059 wall_clock_time_millis_training 62.96038627624512 wall_clock_time_millis_training 104.94160652160645 wall_clock_time_millis_training 86.95077896118164 wall_clock_time_millis_training 122.92981147766113 wall_clock_time_millis_training 159.90877151489258 wall_clock_time_millis_training 71.95496559143066 weighted_recall 0.5974632843791722 [0.864407,0.269345] weighted_recall 0.6154873164218959 [0.809927,0.376488] weighted_recall 0.6041388518024032 [0.881356,0.263393] weighted_recall 0.6074766355140186 [0.858354,0.299107] weighted_recall 0.6161548731642189 [0.805085,0.383929] weighted_recall 0.6134846461949266 [0.884988,0.279762] weighted_recall 0.5947930574098799 [0.894673,0.22619] weighted_recall 0.6161548731642189 [0.873939,0.300149] weighted_recall 0.6101468624833111 [0.861818,0.301634] weighted_recall 0.6008010680907877 [0.866667,0.274889]