10590929 32117 VAIBHAV JAISWAL 9983 Supervised Classification 19165 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.svm._classes.SVC)(1) 8304387 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 19165 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"}}] 19165 verbose false 19165 C 1.0 19166 break_ties false 19166 cache_size 200 19166 class_weight null 19166 coef0 0.0 19166 decision_function_shape "ovr" 19166 degree 3 19166 gamma "scale" 19166 kernel "rbf" 19166 max_iter -1 19166 probability false 19166 random_state 41600 19166 shrinking true 19166 tol 0.001 19166 verbose false 19166 openml-python Sklearn_1.0.2. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 22109454 description https://api.openml.org/data/download/22109454/description.xml -1 22109455 predictions https://api.openml.org/data/download/22109455/predictions.arff area_under_roc_curve 0.6280217105509313 [0.628022,0.628022] average_cost 0 f_measure 0.62428058770322 [0.744574,0.476539] kappa 0.2695281631927362 kb_relative_information_score 0.30284830305026456 mean_absolute_error 0.34332443257676903 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.656675567423231 [0.907836,0.348208] number_of_instances 14980 [8257,6723] precision 0.6865504441562137 [0.631083,0.754674] predictive_accuracy 0.656675567423231 prior_entropy 0.9924223735239917 relative_absolute_error 0.6939246767534084 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.5859389324637586 root_relative_squared_error 1.178071015109259 total_cost 0 unweighted_recall 0.6280217105509313 [0.907836,0.348208] area_under_roc_curve 0.7344128329297821 [0.734413,0.734413] area_under_roc_curve 0.6085805084745761 [0.608581,0.608581] area_under_roc_curve 0.6091858353510896 [0.609186,0.609186] area_under_roc_curve 0.5983782284100081 [0.598378,0.598378] area_under_roc_curve 0.7253203188054884 [0.72532,0.72532] area_under_roc_curve 0.6030821226795803 [0.603082,0.603082] area_under_roc_curve 0.5768134584342212 [0.576813,0.576813] area_under_roc_curve 0.6098590661443559 [0.609859,0.609859] area_under_roc_curve 0.6157836912963212 [0.615784,0.615784] area_under_roc_curve 0.5988914404070422 [0.598891,0.598891] 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 0.7425989555880366 [0.803401,0.667864] f_measure 0.5977325728566648 [0.739088,0.423983] f_measure 0.5982734476136217 [0.739699,0.424437] f_measure 0.5899997132318695 [0.726647,0.422037] f_measure 0.7332921142597356 [0.788901,0.66494] f_measure 0.5939415325725733 [0.731898,0.42437] f_measure 0.5577886653995601 [0.721797,0.356195] f_measure 0.5977668194423086 [0.740812,0.422414] f_measure 0.6109269397095126 [0.734958,0.458883] f_measure 0.5891497044220857 [0.728074,0.418848] kappa 0.48427689341635627 kappa 0.23025699997325702 kappa 0.23157472417251765 kappa 0.2077662662795962 kappa 0.4625760517799353 kappa 0.21801984423343654 kappa 0.16361340926184598 kappa 0.2330525716534502 kappa 0.2436049254531639 kappa 0.20896692539994555 kb_relative_information_score 0.49842200865102626 kb_relative_information_score 0.2706784882547215 kb_relative_information_score 0.2720341044475567 kb_relative_information_score 0.24627739678368898 kb_relative_information_score 0.47402091717999356 kb_relative_information_score 0.25712232632637017 kb_relative_information_score 0.2110313757699752 kb_relative_information_score 0.2735346035821586 kb_relative_information_score 0.27760064124867656 kb_relative_information_score 0.24778303169421176 mean_absolute_error 0.24699599465954605 mean_absolute_error 0.3591455273698264 mean_absolute_error 0.35847797062750336 mean_absolute_error 0.3711615487316422 mean_absolute_error 0.2590120160213618 mean_absolute_error 0.3658210947930574 mean_absolute_error 0.3885180240320427 mean_absolute_error 0.35781041388518026 mean_absolute_error 0.35580774365821094 mean_absolute_error 0.3704939919893191 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 0.7723067888680862 [0.715909,0.841629] precision 0.6789588370847881 [0.616505,0.755725] precision 0.6804286982295539 [0.616815,0.758621] precision 0.6513415237977348 [0.611755,0.7] precision 0.750396989899902 [0.716403,0.792181] precision 0.6622592575541335 [0.614122,0.721429] precision 0.6401492414974247 [0.596367,0.693966] precision 0.6847085141227114 [0.616251,0.768627] precision 0.6685937615729897 [0.623103,0.724359] precision 0.6551376818649827 [0.61102,0.70922] predictive_accuracy 0.753004005340454 predictive_accuracy 0.6408544726301736 predictive_accuracy 0.6415220293724967 predictive_accuracy 0.6288384512683578 predictive_accuracy 0.7409879839786382 predictive_accuracy 0.6341789052069425 predictive_accuracy 0.6114819759679573 predictive_accuracy 0.6421895861148198 predictive_accuracy 0.644192256341789 predictive_accuracy 0.6295060080106809 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 0.4992470774717814 relative_absolute_error 0.7259322369724821 relative_absolute_error 0.7245829205468827 relative_absolute_error 0.7502199326332715 relative_absolute_error 0.5235347731325707 relative_absolute_error 0.7394254012284762 relative_absolute_error 0.7853021596988562 relative_absolute_error 0.7231336989486167 relative_absolute_error 0.7190863088425609 relative_absolute_error 0.7487671696203028 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 0.49698691598426015 root_mean_squared_error 0.5992875164475115 root_mean_squared_error 0.5987302987385082 root_mean_squared_error 0.6092302920338435 root_mean_squared_error 0.508932231265973 root_mean_squared_error 0.6048314598241872 root_mean_squared_error 0.6233121401288786 root_mean_squared_error 0.5981725619628339 root_mean_squared_error 0.5964962226688539 root_mean_squared_error 0.6086821765004452 root_relative_squared_error 0.9992682090265363 root_relative_squared_error 1.2049592131947224 root_relative_squared_error 1.203838841763996 root_relative_squared_error 1.2249506842643982 root_relative_squared_error 1.0232860924433957 root_relative_squared_error 1.2161061593029188 root_relative_squared_error 1.2532643936863885 root_relative_squared_error 1.2025512914929046 root_relative_squared_error 1.1991812205281966 root_relative_squared_error 1.223679560054448 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 0.7344128329297821 [0.915254,0.553571] unweighted_recall 0.6085805084745762 [0.922518,0.294643] unweighted_recall 0.6091858353510896 [0.923729,0.294643] unweighted_recall 0.5983782284100081 [0.894673,0.302083] unweighted_recall 0.7253203188054882 [0.877724,0.572917] unweighted_recall 0.6030821226795803 [0.905569,0.300595] unweighted_recall 0.5768134584342212 [0.914044,0.239583] unweighted_recall 0.6098590661443559 [0.928485,0.291233] unweighted_recall 0.6157836912963213 [0.895758,0.33581] unweighted_recall 0.5988914404070422 [0.900606,0.297177] usercpu_time_millis 13578.125 usercpu_time_millis 17250 usercpu_time_millis 16671.875 usercpu_time_millis 18546.875 usercpu_time_millis 12531.25 usercpu_time_millis 14062.5 usercpu_time_millis 14031.25 usercpu_time_millis 13937.5 usercpu_time_millis 13656.25 usercpu_time_millis 15578.125 usercpu_time_millis_testing 2546.875 usercpu_time_millis_testing 4265.625 usercpu_time_millis_testing 3500 usercpu_time_millis_testing 3250 usercpu_time_millis_testing 2406.25 usercpu_time_millis_testing 2750 usercpu_time_millis_testing 2781.25 usercpu_time_millis_testing 2796.875 usercpu_time_millis_testing 2812.5 usercpu_time_millis_testing 3734.375 usercpu_time_millis_training 11031.25 usercpu_time_millis_training 12984.375 usercpu_time_millis_training 13171.875 usercpu_time_millis_training 15296.875 usercpu_time_millis_training 10125 usercpu_time_millis_training 11312.5 usercpu_time_millis_training 11250 usercpu_time_millis_training 11140.625 usercpu_time_millis_training 10843.75 usercpu_time_millis_training 11843.75 wall_clock_time_millis 16357.62357711792 wall_clock_time_millis 21165.867805480957 wall_clock_time_millis 19113.046407699585 wall_clock_time_millis 22296.94437980652 wall_clock_time_millis 13442.31653213501 wall_clock_time_millis 15054.369926452637 wall_clock_time_millis 15007.398843765259 wall_clock_time_millis 14997.402667999268 wall_clock_time_millis 14253.832340240479 wall_clock_time_millis 18689.289093017578 wall_clock_time_millis_testing 3022.2678184509277 wall_clock_time_millis_testing 5144.052028656006 wall_clock_time_millis_testing 4528.406858444214 wall_clock_time_millis_testing 3341.085195541382 wall_clock_time_millis_testing 2592.534065246582 wall_clock_time_millis_testing 2937.331438064575 wall_clock_time_millis_testing 2918.327569961548 wall_clock_time_millis_testing 3022.2678184509277 wall_clock_time_millis_testing 2884.347438812256 wall_clock_time_millis_testing 5873.632907867432 wall_clock_time_millis_training 13335.355758666992 wall_clock_time_millis_training 16021.815776824951 wall_clock_time_millis_training 14584.639549255371 wall_clock_time_millis_training 18955.859184265137 wall_clock_time_millis_training 10849.782466888428 wall_clock_time_millis_training 12117.038488388062 wall_clock_time_millis_training 12089.071273803711 wall_clock_time_millis_training 11975.13484954834 wall_clock_time_millis_training 11369.484901428223 wall_clock_time_millis_training 12815.656185150146 weighted_recall 0.753004005340454 [0.915254,0.553571] weighted_recall 0.6408544726301736 [0.922518,0.294643] weighted_recall 0.6415220293724967 [0.923729,0.294643] weighted_recall 0.6288384512683578 [0.894673,0.302083] weighted_recall 0.7409879839786382 [0.877724,0.572917] weighted_recall 0.6341789052069426 [0.905569,0.300595] weighted_recall 0.6114819759679573 [0.914044,0.239583] weighted_recall 0.6421895861148198 [0.928485,0.291233] weighted_recall 0.644192256341789 [0.895758,0.33581] weighted_recall 0.6295060080106809 [0.900606,0.297177]