Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 112570 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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112570 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.8981, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.2656, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 0.9403, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.453, weighted_recall: 0.9823, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.931, relative_absolute_error: 0.0624, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2619, unweighted_recall: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 0.9403, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.453, weighted_recall: 0.9823, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.931, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.262, unweighted_recall: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.8981, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.2656, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.7156, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.3481, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.199, root_relative_squared_error: 0.4182, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.776, f_measure: 0.636, kappa: 0.2044, kb_relative_information_score: 0.1103, mean_absolute_error: 0.4102, mean_prior_absolute_error: 0.453, weighted_recall: 0.7067, number_of_instances: 958, precision: 0.7549, predictive_accuracy: 0.7067, prior_entropy: 0.931, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9221, unweighted_recall: 0.5832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.7837, kappa: 0.5109, kb_relative_information_score: 0.3094, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.453, weighted_recall: 0.8017, number_of_instances: 958, precision: 0.8178, predictive_accuracy: 0.8017, prior_entropy: 0.931, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.7857, unweighted_recall: 0.7287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.8981, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.2656, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.8981, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1264, root_relative_squared_error: 0.2656, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9344, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.0718, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2576, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2607, unweighted_recall: 0.9759,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9204, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2576, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9204, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2576, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9204, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.2576, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 0.9389, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.453, weighted_recall: 0.9823, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.931, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.2602, unweighted_recall: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 0.9389, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.453, weighted_recall: 0.9823, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.931, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.2602, unweighted_recall: 0.9751,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.6736, kappa: 0.2773, kb_relative_information_score: 0.1006, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.453, weighted_recall: 0.7276, number_of_instances: 958, precision: 0.7677, predictive_accuracy: 0.7276, prior_entropy: 0.931, relative_absolute_error: 0.9148, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.9216, unweighted_recall: 0.6154,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 0.9396, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.453, weighted_recall: 0.9823, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.931, relative_absolute_error: 0.0636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.2609, unweighted_recall: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.7185, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4154, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.7185, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4154, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.7185, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4154, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.7185, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4154, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.7185, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4154, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.7185, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4154, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.7185, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4154, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.7185, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4154, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.7185, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4154, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.7185, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.4154, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9382, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2588, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9382, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2588, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9382, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2588, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9382, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2588, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9382, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2588, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9382, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.453, weighted_recall: 0.9833, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, relative_absolute_error: 0.0663, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2588, unweighted_recall: 0.9759,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs