81 3229 Test Test 403 Supervised Classification 13957 sklearn.neighbors._classification.KNeighborsClassifier(1) 77 Python_3.8.18. Sklearn_1.3.2. NumPy_1.23.5. SciPy_1.10.1. algorithm "auto" 13957 leaf_size 30 13957 metric "minkowski" 13957 metric_params null 13957 n_jobs null 13957 n_neighbors 5 13957 p 2 13957 weights "uniform" 13957 openml-python Sklearn_1.3.2. 68 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 709 description https://test.openml.org/data/download/709/description.xml -1 710 predictions https://test.openml.org/data/download/710/predictions.arff area_under_roc_curve 0.9946795106360338 [0.99468,0.99468] average_cost 0 f_measure 0.9690165795877647 [0.971971,0.965389] kappa 0.9373596042950169 kb_relative_information_score 0.891405711607461 mean_absolute_error 0.057890520694259956 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.9690253671562082 [0.974325,0.962517] number_of_instances 14980 [8257,6723] precision 0.9690217627325892 [0.969628,0.968278] predictive_accuracy 0.9690253671562082 prior_entropy 0.9924223735239917 relative_absolute_error 0.11700787083036468 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.15896863853409599 root_relative_squared_error 0.3196175147142705 total_cost 0 unweighted_recall 0.9684207744546471 [0.974325,0.962517] area_under_roc_curve 0.9939962743572005 [0.993996,0.993996] area_under_roc_curve 0.9948267972443214 [0.994827,0.994827] area_under_roc_curve 0.995836576155886 [0.995837,0.995837] area_under_roc_curve 0.9941304911795227 [0.99413,0.99413] area_under_roc_curve 0.993057657384988 [0.993058,0.993058] area_under_roc_curve 0.9972724259195204 [0.997272,0.997272] area_under_roc_curve 0.9962644485760406 [0.996264,0.996264] area_under_roc_curve 0.994758881534513 [0.994759,0.994759] area_under_roc_curve 0.9937691926696385 [0.993769,0.993769] area_under_roc_curve 0.9934125804853888 [0.993413,0.993413] 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 0.9659373077992695 [0.969259,0.961855] f_measure 0.9666437815485527 [0.969549,0.963072] f_measure 0.9685889323685863 [0.971806,0.964635] f_measure 0.9712715577526514 [0.974143,0.967742] f_measure 0.9726033609249799 [0.975375,0.969196] f_measure 0.9713119113173859 [0.973828,0.968219] f_measure 0.9645960857907119 [0.968092,0.9603] f_measure 0.9666310552287318 [0.969623,0.962963] f_measure 0.9712970114757821 [0.973924,0.968077] f_measure 0.9712763080956482 [0.974081,0.967838] kappa 0.9311150102879361 kappa 0.9326247386847343 kappa 0.93644715724558 kappa 0.9418882222923902 kappa 0.9445756951726403 kappa 0.9420492474337174 kappa 0.9283937522885969 kappa 0.9325867776479717 kappa 0.9420008247779132 kappa 0.941921336745164 kb_relative_information_score 0.8907841723613851 kb_relative_information_score 0.8883563509282938 kb_relative_information_score 0.893010242756381 kb_relative_information_score 0.8870983569565491 kb_relative_information_score 0.8936843178052202 kb_relative_information_score 0.8994921672692813 kb_relative_information_score 0.8889731539636608 kb_relative_information_score 0.8830569860356696 kb_relative_information_score 0.893780881307646 kb_relative_information_score 0.8958207975049123 mean_absolute_error 0.057943925233645006 mean_absolute_error 0.059145527369826575 mean_absolute_error 0.05674232309746337 mean_absolute_error 0.060480640854472814 mean_absolute_error 0.0571428571428573 mean_absolute_error 0.05380507343124182 mean_absolute_error 0.05887850467289737 mean_absolute_error 0.06234979973297749 mean_absolute_error 0.05687583444592804 mean_absolute_error 0.05554072096128181 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 weighted_recall 0.9659546061415221 [0.973366,0.956845] weighted_recall 0.9666221628838452 [0.96368,0.970238] weighted_recall 0.9686248331108144 [0.98063,0.953869] weighted_recall 0.9712950600801068 [0.98063,0.959821] weighted_recall 0.972630173564753 [0.983051,0.959821] weighted_recall 0.9712950600801068 [0.968523,0.974702] weighted_recall 0.9646194926568759 [0.973366,0.953869] weighted_recall 0.9666221628838452 [0.967273,0.965825] weighted_recall 0.9712950600801068 [0.973333,0.968796] weighted_recall 0.9712950600801068 [0.979394,0.961367] 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 0.9659626959490142 [0.965186,0.966917] precision 0.9667521926960825 [0.97549,0.956012] precision 0.9687500777002136 [0.963139,0.975647] precision 0.9713541892337506 [0.967742,0.975794] precision 0.972725086221939 [0.967819,0.978756] precision 0.9713994271248103 [0.979192,0.961821] precision 0.9646431837133447 [0.962874,0.966817] precision 0.9666538510421588 [0.971985,0.960118] precision 0.9712998367908288 [0.974515,0.967359] precision 0.9713285406227112 [0.968825,0.974398] predictive_accuracy 0.9659546061415221 predictive_accuracy 0.9666221628838452 predictive_accuracy 0.9686248331108145 predictive_accuracy 0.9712950600801068 predictive_accuracy 0.972630173564753 predictive_accuracy 0.9712950600801068 predictive_accuracy 0.9646194926568757 predictive_accuracy 0.9666221628838452 predictive_accuracy 0.9712950600801068 predictive_accuracy 0.9712950600801068 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 0.117120665742029 relative_absolute_error 0.11954943530810792 relative_absolute_error 0.11469189617594994 relative_absolute_error 0.12224806815930683 relative_absolute_error 0.11550148603130975 relative_absolute_error 0.1087549039033127 relative_absolute_error 0.11900970873786823 relative_absolute_error 0.12600874530186754 relative_absolute_error 0.11494587901198187 relative_absolute_error 0.11224761894127802 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 0.1617659553152805 root_mean_squared_error 0.16283535796955567 root_mean_squared_error 0.1571610621813003 root_mean_squared_error 0.16201336706625197 root_mean_squared_error 0.15724599115922622 root_mean_squared_error 0.14931977495828 root_mean_squared_error 0.1590190221300547 root_mean_squared_error 0.16348997511351182 root_mean_squared_error 0.15758524935544932 root_mean_squared_error 0.1587669442614554 root_relative_squared_error 0.32525519535907965 root_relative_squared_error 0.32740539296126286 root_relative_squared_error 0.3159963533921078 root_relative_squared_error 0.32575265452618013 root_relative_squared_error 0.31616711609216486 root_relative_squared_error 0.30023024610074744 root_relative_squared_error 0.319732066045142 root_relative_squared_error 0.32867619349466604 root_relative_squared_error 0.316805479192811 root_relative_squared_error 0.3191811293408304 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 usercpu_time_millis 154.71189999999967 usercpu_time_millis 152.09539999999944 usercpu_time_millis 151.2935999999998 usercpu_time_millis 151.63540000000086 usercpu_time_millis 159.32109999999787 usercpu_time_millis 149.2969000000013 usercpu_time_millis 155.55610000000186 usercpu_time_millis 152.61220000000185 usercpu_time_millis 152.93330000000083 usercpu_time_millis 153.20190000000088 usercpu_time_millis_testing 128.25169999999986 usercpu_time_millis_testing 126.74559999999957 usercpu_time_millis_testing 125.12599999999985 usercpu_time_millis_testing 125.18830000000048 usercpu_time_millis_testing 133.1654999999987 usercpu_time_millis_testing 122.95870000000164 usercpu_time_millis_testing 129.04160000000076 usercpu_time_millis_testing 126.28360000000072 usercpu_time_millis_testing 126.57220000000002 usercpu_time_millis_testing 126.70780000000015 usercpu_time_millis_training 26.460199999999823 usercpu_time_millis_training 25.349799999999867 usercpu_time_millis_training 26.167599999999958 usercpu_time_millis_training 26.44710000000039 usercpu_time_millis_training 26.15559999999917 usercpu_time_millis_training 26.338199999999645 usercpu_time_millis_training 26.514500000001107 usercpu_time_millis_training 26.328600000001146 usercpu_time_millis_training 26.361100000000803 usercpu_time_millis_training 26.494100000000742 wall_clock_time_millis 154.71267700195312 wall_clock_time_millis 152.10437774658203 wall_clock_time_millis 151.30305290222168 wall_clock_time_millis 151.63612365722656 wall_clock_time_millis 159.32226181030273 wall_clock_time_millis 149.29938316345215 wall_clock_time_millis 155.55834770202637 wall_clock_time_millis 152.62079238891602 wall_clock_time_millis 152.93407440185547 wall_clock_time_millis 153.20396423339844 wall_clock_time_millis_training 26.46040916442871 wall_clock_time_millis_training 25.349855422973633 wall_clock_time_millis_training 26.167631149291992 wall_clock_time_millis_training 26.447296142578125 wall_clock_time_millis_training 26.155948638916016 wall_clock_time_millis_training 26.33833885192871 wall_clock_time_millis_training 26.51500701904297 wall_clock_time_millis_training 26.32880210876465 wall_clock_time_millis_training 26.361465454101562 wall_clock_time_millis_training 26.494264602661133 wall_clock_time_millis_testing 128.2522678375244 wall_clock_time_millis_testing 126.7545223236084 wall_clock_time_millis_testing 125.13542175292969 wall_clock_time_millis_testing 125.18882751464844 wall_clock_time_millis_testing 133.16631317138672 wall_clock_time_millis_testing 122.96104431152344 wall_clock_time_millis_testing 129.0433406829834 wall_clock_time_millis_testing 126.29199028015137 wall_clock_time_millis_testing 126.5726089477539 wall_clock_time_millis_testing 126.7096996307373 unweighted_recall 0.9651054277643261 [0.973366,0.956845] unweighted_recall 0.9669592413236481 [0.96368,0.970238] unweighted_recall 0.9672492937853108 [0.98063,0.953869] unweighted_recall 0.9702254842615012 [0.98063,0.959821] unweighted_recall 0.9714361380145279 [0.983051,0.959821] unweighted_recall 0.9716126916868442 [0.968523,0.974702] unweighted_recall 0.9636173325262309 [0.973366,0.953869] unweighted_recall 0.9665486964744023 [0.967273,0.965825] unweighted_recall 0.9710648836057454 [0.973333,0.968796] unweighted_recall 0.9703804763834482 [0.979394,0.961367]