10045153 287 Hugo Spee 145804 Supervised Classification 8881 sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.neighbors.classification.KNeighborsClassifier)(1) 7847816 algorithm "auto" 8875 leaf_size 30 8875 metric "minkowski" 8875 metric_params null 8875 n_jobs null 8875 n_neighbors 5 8875 p 2 8875 weights "uniform" 8875 copy true 8877 fill_value null 8877 missing_values NaN 8877 strategy "mean" 8877 verbose 0 8877 memory null 8881 auto-jupyter-notebook openml-python Sklearn_0.20.1. 50 tic-tac-toe https://www.openml.org/data/download/50/dataset_50_tic-tac-toe.arff -1 21010840 description https://api.openml.org/data/download/21010840/description.xml -1 21010841 predictions https://api.openml.org/data/download/21010841/predictions.arff area_under_roc_curve 0.78914940913815 [0.789149,0.789149] average_cost 0 f_measure 0.8246214917325504 [0.714542,0.883002] kappa 0.6035408088369261 kb_relative_information_score 451.0614675595731 mean_absolute_error 0.24509394572024973 mean_prior_absolute_error 0.45300756784968915 number_of_instances 958 [332,626] precision 0.841388611195764 [0.884444,0.818554] predictive_accuracy 0.8340292275574113 prior_entropy 0.9312461581068427 recall 0.8340292275574113 [0.599398,0.958466] relative_absolute_error 0.5410371991877484 root_mean_prior_squared_error 0.47587270721768155 root_mean_squared_error 0.39017152697152363 root_relative_squared_error 0.8199073429799472 total_cost 0 area_under_roc_curve 0.8472823472823473 [0.847282,0.847282] area_under_roc_curve 0.8455988455988456 [0.845599,0.845599] area_under_roc_curve 0.7727272727272728 [0.772727,0.772727] area_under_roc_curve 0.7342472342472343 [0.734247,0.734247] area_under_roc_curve 0.798941798941799 [0.798942,0.798942] area_under_roc_curve 0.8422318422318423 [0.842232,0.842232] area_under_roc_curve 0.7303130929791272 [0.730313,0.730313] area_under_roc_curve 0.7960151802656547 [0.796015,0.796015] area_under_roc_curve 0.7639296187683283 [0.76393,0.76393] area_under_roc_curve 0.7624633431085044 [0.762463,0.762463] 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 0.8701106536284097 [0.793103,0.910448] f_measure 0.8903623949579833 [0.821429,0.926471] f_measure 0.8192307692307693 [0.692308,0.885714] f_measure 0.7607165206508135 [0.588235,0.851064] f_measure 0.836622807017544 [0.736842,0.888889] f_measure 0.8051659804426144 [0.689655,0.865672] f_measure 0.775228126677402 [0.62963,0.855072] f_measure 0.8389594543861844 [0.754098,0.885496] f_measure 0.810448343079922 [0.690909,0.874074] f_measure 0.8327485380116959 [0.727273,0.888889] kappa 0.7059724349157733 kappa 0.7511664074650078 kappa 0.5890850722311398 kappa 0.4563106796116505 kappa 0.6296296296296297 kappa 0.55895865237366 kappa 0.49790794979079495 kappa 0.6417910447761194 kappa 0.5719586535913066 kappa 0.6223164590511527 kb_relative_information_score 51.57893095904703 kb_relative_information_score 56.16873832993101 kb_relative_information_score 39.69230830943035 kb_relative_information_score 38.815046137137756 kb_relative_information_score 45.882363888266745 kb_relative_information_score 46.59644379167304 kb_relative_information_score 38.22710704190282 kb_relative_information_score 47.31904382027399 kb_relative_information_score 40.80061799356782 kb_relative_information_score 45.9808672883455 mean_absolute_error 0.21874999999999997 mean_absolute_error 0.19791666666666666 mean_absolute_error 0.27083333333333326 mean_absolute_error 0.26875000000000004 mean_absolute_error 0.2416666666666666 mean_absolute_error 0.23333333333333328 mean_absolute_error 0.2770833333333333 mean_absolute_error 0.23958333333333326 mean_absolute_error 0.2652631578947368 mean_absolute_error 0.23789473684210527 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.45214843750000067 mean_prior_absolute_error 0.4553385416666673 mean_prior_absolute_error 0.4553385416666673 mean_prior_absolute_error 0.45325657894736904 mean_prior_absolute_error 0.45325657894736904 number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [33,63] number_of_instances 96 [34,62] number_of_instances 96 [34,62] number_of_instances 95 [33,62] number_of_instances 95 [33,62] precision 0.8800704225352113 [0.92,0.859155] precision 0.9101027397260274 [1,0.863014] precision 0.854066985645933 [0.947368,0.805195] precision 0.7912660256410257 [0.833333,0.769231] precision 0.84765625 [0.875,0.833333] precision 0.8110915492957748 [0.8,0.816901] precision 0.8024122807017543 [0.85,0.776316] precision 0.8445719269994632 [0.851852,0.84058] precision 0.8274693583273252 [0.863636,0.808219] precision 0.8521989906272531 [0.909091,0.821918] predictive_accuracy 0.875 predictive_accuracy 0.8958333333333333 predictive_accuracy 0.8333333333333333 predictive_accuracy 0.78125 predictive_accuracy 0.84375 predictive_accuracy 0.8125 predictive_accuracy 0.7916666666666667 predictive_accuracy 0.84375 predictive_accuracy 0.8210526315789474 predictive_accuracy 0.8421052631578948 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 prior_entropy 0.9312461581068427 recall 0.875 [0.69697,0.968254] recall 0.8958333333333334 [0.69697,1] recall 0.8333333333333334 [0.545455,0.984127] recall 0.78125 [0.454545,0.952381] recall 0.84375 [0.636364,0.952381] recall 0.8125 [0.606061,0.920635] recall 0.7916666666666666 [0.5,0.951613] recall 0.84375 [0.676471,0.935484] recall 0.8210526315789474 [0.575758,0.951613] recall 0.8421052631578947 [0.606061,0.967742] relative_absolute_error 0.48380129589632753 relative_absolute_error 0.4377249820014392 relative_absolute_error 0.5989920806335483 relative_absolute_error 0.5943844492440598 relative_absolute_error 0.5344852411807046 relative_absolute_error 0.5160547156227493 relative_absolute_error 0.6085215899342283 relative_absolute_error 0.5261652845295959 relative_absolute_error 0.5852384062704106 relative_absolute_error 0.524856665940924 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.47496916018305874 root_mean_prior_squared_error 0.4783155938203006 root_mean_prior_squared_error 0.4783155938203006 root_mean_prior_squared_error 0.4761342715793188 root_mean_prior_squared_error 0.4761342715793188 root_mean_squared_error 0.348209706929603 root_mean_squared_error 0.338501600193165 root_mean_squared_error 0.4 root_mean_squared_error 0.42671223714973694 root_mean_squared_error 0.38188130791298663 root_mean_squared_error 0.3752776749732567 root_mean_squared_error 0.4325313090786993 root_mean_squared_error 0.38351444996679496 root_mean_squared_error 0.4062667000616065 root_mean_squared_error 0.39841792392569786 root_relative_squared_error 0.7331206657615388 root_relative_squared_error 0.7126812192663255 root_relative_squared_error 0.8421599411756234 root_relative_squared_error 0.8983998813423528 root_relative_squared_error 0.8040128495201774 root_relative_squared_error 0.7901095617000063 root_relative_squared_error 0.9042801754048562 root_relative_squared_error 0.8018021049735593 root_relative_squared_error 0.8532607802291478 root_relative_squared_error 0.8367764046981141 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