10590938 32117 VAIBHAV JAISWAL 9983 Supervised Classification 19161 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.neighbors._classification.KNeighborsClassifier)(1) 8304079 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 algorithm "auto" 19154 leaf_size 30 19154 metric "minkowski" 19154 metric_params null 19154 n_jobs null 19154 n_neighbors 5 19154 p 2 19154 weights "uniform" 19154 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 19161 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"}}] 19161 verbose false 19161 openml-python Sklearn_1.0.2. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 22109472 description https://api.openml.org/data/download/22109472/description.xml -1 22109473 predictions https://api.openml.org/data/download/22109473/predictions.arff area_under_roc_curve 0.9262379766352786 [0.926238,0.926238] average_cost 0 f_measure 0.8535800278268606 [0.868464,0.8353] kappa 0.7037913524263417 kb_relative_information_score 0.6099860727540125 mean_absolute_error 0.20029372496662115 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.8537383177570094 [0.875984,0.826417] number_of_instances 14980 [8257,6723] precision 0.8535789507590669 [0.861071,0.844377] predictive_accuracy 0.8537383177570094 prior_entropy 0.9924223735239917 relative_absolute_error 0.40483212135541824 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.32461952670188027 root_relative_squared_error 0.6526701575161589 total_cost 0 unweighted_recall 0.8512003958941279 [0.875984,0.826417] area_under_roc_curve 0.9692391257350399 [0.969239,0.969239] area_under_roc_curve 0.9053825449671395 [0.905383,0.905383] area_under_roc_curve 0.9163937291018102 [0.916394,0.916394] area_under_roc_curve 0.9195095411045774 [0.91951,0.91951] area_under_roc_curve 0.9717144802836388 [0.971714,0.971714] area_under_roc_curve 0.9191510290556901 [0.919151,0.919151] area_under_roc_curve 0.9067850657212037 [0.906785,0.906785] area_under_roc_curve 0.9139826196586969 [0.913983,0.913983] area_under_roc_curve 0.9134774190643433 [0.913477,0.913477] area_under_roc_curve 0.9038551938403349 [0.903855,0.903855] 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 0.9176611456065868 [0.927003,0.906178] f_measure 0.8391075922992333 [0.854204,0.820551] f_measure 0.8378167945793757 [0.852638,0.819599] f_measure 0.8386037920685332 [0.857312,0.815608] f_measure 0.9177090530648002 [0.926742,0.906606] f_measure 0.8448558636596512 [0.86141,0.824508] f_measure 0.8417086656554289 [0.857143,0.822737] f_measure 0.8371803502295664 [0.851582,0.819527] f_measure 0.8442575728827387 [0.860228,0.82468] f_measure 0.8169839147931051 [0.834741,0.795217] kappa 0.8332636539850253 kappa 0.6747556284290849 kappa 0.6722383995764476 kappa 0.6731229956014145 kappa 0.8334029544677781 kappa 0.685986793837124 kappa 0.6798874007498201 kappa 0.6711134625801495 kappa 0.6849492628169833 kappa 0.6299680680541708 kb_relative_information_score 0.753950678896297 kb_relative_information_score 0.5544010508264161 kb_relative_information_score 0.5818001265396024 kb_relative_information_score 0.5876790966122128 kb_relative_information_score 0.7591194413849394 kb_relative_information_score 0.5896854008174524 kb_relative_information_score 0.5687990516328595 kb_relative_information_score 0.57739503252328 kb_relative_information_score 0.5760778327921717 kb_relative_information_score 0.5509780461199365 mean_absolute_error 0.12857142857142856 mean_absolute_error 0.2292389853137504 mean_absolute_error 0.2140186915887839 mean_absolute_error 0.21134846461949172 mean_absolute_error 0.12550066755674222 mean_absolute_error 0.21081441922563357 mean_absolute_error 0.2212283044058736 mean_absolute_error 0.21615487316421816 mean_absolute_error 0.2178905206942581 mean_absolute_error 0.22817089452603365 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 0.9183394952636625 [0.909197,0.929577] precision 0.8390971124266305 [0.853688,0.821162] precision 0.837856637255236 [0.854192,0.817778] precision 0.8391295972724174 [0.838934,0.83937] precision 0.9181339598685538 [0.912075,0.925581] precision 0.8449539153317147 [0.850236,0.838462] precision 0.8416653429694554 [0.853541,0.827068] precision 0.8372715425005075 [0.854701,0.815906] precision 0.8442756825642965 [0.851544,0.835366] precision 0.8169253282087201 [0.830732,0.8] predictive_accuracy 0.917890520694259 predictive_accuracy 0.8391188251001336 predictive_accuracy 0.8377837116154874 predictive_accuracy 0.8391188251001336 predictive_accuracy 0.917890520694259 predictive_accuracy 0.8451268357810414 predictive_accuracy 0.8417890520694259 predictive_accuracy 0.8371161548731643 predictive_accuracy 0.8444592790387183 predictive_accuracy 0.8170894526034713 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 0.25987834357044615 relative_absolute_error 0.4633552605508345 relative_absolute_error 0.43259084604716824 relative_absolute_error 0.42719358034477106 relative_absolute_error 0.2536714880126887 relative_absolute_error 0.42611412720429215 relative_absolute_error 0.4471634634436424 relative_absolute_error 0.4368483054469426 relative_absolute_error 0.4403560435388572 relative_absolute_error 0.4611326460832762 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 0.2515107888392397 root_mean_squared_error 0.3474492211557086 root_mean_squared_error 0.3367559047527564 root_mean_squared_error 0.3338891671916851 root_mean_squared_error 0.2486814359955558 root_mean_squared_error 0.3318838087091786 root_mean_squared_error 0.3462945179914358 root_mean_squared_error 0.33944114913334567 root_mean_squared_error 0.3388506450924542 root_mean_squared_error 0.35066216211036266 root_relative_squared_error 0.5057009096839041 root_relative_squared_error 0.698599801695636 root_relative_squared_error 0.6770992535184874 root_relative_squared_error 0.6713352391827628 root_relative_squared_error 0.5000120630405014 root_relative_squared_error 0.6673031592329278 root_relative_squared_error 0.6962780943713396 root_relative_squared_error 0.6824040723912421 root_relative_squared_error 0.6812169377044293 root_relative_squared_error 0.7049625187417266 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 0.9147245762711864 [0.945521,0.883929] unweighted_recall 0.83733101291364 [0.854722,0.81994] unweighted_recall 0.8362590799031477 [0.85109,0.821429] unweighted_recall 0.8348340395480226 [0.876513,0.793155] unweighted_recall 0.9151407384987893 [0.941889,0.888393] unweighted_recall 0.8419466303470541 [0.872881,0.811012] unweighted_recall 0.839613599677159 [0.860775,0.818452] unweighted_recall 0.8358323202305371 [0.848485,0.82318] unweighted_recall 0.8416776982304471 [0.869091,0.814264] unweighted_recall 0.814639110270611 [0.838788,0.79049] usercpu_time_millis 406.25 usercpu_time_millis 359.375 usercpu_time_millis 359.375 usercpu_time_millis 375 usercpu_time_millis 375 usercpu_time_millis 359.375 usercpu_time_millis 375 usercpu_time_millis 359.375 usercpu_time_millis 312.5 usercpu_time_millis 343.75 usercpu_time_millis_testing 312.5 usercpu_time_millis_testing 281.25 usercpu_time_millis_testing 265.625 usercpu_time_millis_testing 281.25 usercpu_time_millis_testing 281.25 usercpu_time_millis_testing 265.625 usercpu_time_millis_testing 281.25 usercpu_time_millis_testing 265.625 usercpu_time_millis_testing 218.75 usercpu_time_millis_testing 250 usercpu_time_millis_training 93.75 usercpu_time_millis_training 78.125 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 wall_clock_time_millis 400.76494216918945 wall_clock_time_millis 357.79476165771484 wall_clock_time_millis 357.7702045440674 wall_clock_time_millis 367.78712272644043 wall_clock_time_millis 377.7801990509033 wall_clock_time_millis 356.79149627685547 wall_clock_time_millis 398.7751007080078 wall_clock_time_millis 360.76879501342773 wall_clock_time_millis 315.8400058746338 wall_clock_time_millis 341.80331230163574 wall_clock_time_millis_testing 309.82232093811035 wall_clock_time_millis_testing 265.8500671386719 wall_clock_time_millis_testing 267.84467697143555 wall_clock_time_millis_testing 277.83846855163574 wall_clock_time_millis_testing 286.8335247039795 wall_clock_time_millis_testing 261.84797286987305 wall_clock_time_millis_testing 308.8061809539795 wall_clock_time_millis_testing 266.8471336364746 wall_clock_time_millis_testing 223.891019821167 wall_clock_time_millis_testing 251.8770694732666 wall_clock_time_millis_training 90.9426212310791 wall_clock_time_millis_training 91.94469451904297 wall_clock_time_millis_training 89.92552757263184 wall_clock_time_millis_training 89.94865417480469 wall_clock_time_millis_training 90.94667434692383 wall_clock_time_millis_training 94.94352340698242 wall_clock_time_millis_training 89.96891975402832 wall_clock_time_millis_training 93.92166137695312 wall_clock_time_millis_training 91.9489860534668 wall_clock_time_millis_training 89.92624282836914 weighted_recall 0.917890520694259 [0.945521,0.883929] weighted_recall 0.8391188251001335 [0.854722,0.81994] weighted_recall 0.8377837116154874 [0.85109,0.821429] weighted_recall 0.8391188251001335 [0.876513,0.793155] weighted_recall 0.917890520694259 [0.941889,0.888393] weighted_recall 0.8451268357810414 [0.872881,0.811012] weighted_recall 0.8417890520694259 [0.860775,0.818452] weighted_recall 0.8371161548731643 [0.848485,0.82318] weighted_recall 0.8444592790387183 [0.869091,0.814264] weighted_recall 0.8170894526034713 [0.838788,0.79049]