OpenML
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: 0.9914, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.7153, mean_absolute_error: 0.1578, 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: 0.3484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4187, 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: 0.7153, mean_absolute_error: 0.1578, 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: 0.3484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4187, 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: 0.7153, mean_absolute_error: 0.1578, 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: 0.3484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4187, 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: 0.7153, mean_absolute_error: 0.1578, 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: 0.3484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4187, 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: 0.7153, mean_absolute_error: 0.1578, 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: 0.3484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4187, 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: 0.7153, mean_absolute_error: 0.1578, 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: 0.3484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4187, 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: 0.7153, mean_absolute_error: 0.1578, 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: 0.3484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4187, 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: 0.7153, mean_absolute_error: 0.1578, 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: 0.3484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4187, 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: 0.7153, mean_absolute_error: 0.1578, 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: 0.3484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4187, 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: 0.7153, mean_absolute_error: 0.1578, 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: 0.3484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4187, 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: 0.7153, mean_absolute_error: 0.1578, 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: 0.3484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4187, 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: 0.7153, mean_absolute_error: 0.1578, 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: 0.3484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4187, 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: 0.7153, mean_absolute_error: 0.1578, 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: 0.3484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.4187, 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: 0.0282, 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: 0.9966, 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: 0.9966, 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: 0.9966, 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: 0.9966, 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: 0.7537, kb_relative_information_score: 0.0201, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.453, weighted_recall: 0.6534, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9851, unweighted_recall: 0.5,
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: 0.7537, kb_relative_information_score: 0.0201, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.453, weighted_recall: 0.6534, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9851, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, kb_relative_information_score: 0.0201, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.453, weighted_recall: 0.6534, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9851, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, kb_relative_information_score: 0.0201, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.453, weighted_recall: 0.6534, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9851, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, kb_relative_information_score: 0.0201, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.453, weighted_recall: 0.6534, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9851, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, kb_relative_information_score: 0.0201, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.453, weighted_recall: 0.6534, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9851, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, kb_relative_information_score: 0.0201, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.453, weighted_recall: 0.6534, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9851, unweighted_recall: 0.5,
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: 0.997, 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: 0.7537, kb_relative_information_score: 0.0201, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.453, weighted_recall: 0.6534, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9851, unweighted_recall: 0.5,
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: 0.9968, 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: 0.9968, 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: 0.7537, kb_relative_information_score: 0.0201, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.453, weighted_recall: 0.6534, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9851, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, kb_relative_information_score: 0.0201, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.453, weighted_recall: 0.6534, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9851, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, kb_relative_information_score: 0.0201, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.453, weighted_recall: 0.6534, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9851, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, kb_relative_information_score: 0.0201, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.453, weighted_recall: 0.6534, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9851, unweighted_recall: 0.5,
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: 0.997, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9597, kappa: 0.91, kb_relative_information_score: 0.6331, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.453, weighted_recall: 0.9603, number_of_instances: 958, precision: 0.9626, predictive_accuracy: 0.9603, prior_entropy: 0.931, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.5248, unweighted_recall: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 0.6723, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.453, weighted_recall: 0.9906, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.931, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4614, unweighted_recall: 0.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.8754, kappa: 0.7182, kb_relative_information_score: 0.4137, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.453, weighted_recall: 0.882, number_of_instances: 958, precision: 0.8973, predictive_accuracy: 0.882, prior_entropy: 0.931, relative_absolute_error: 0.6535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6914, unweighted_recall: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8704, kappa: 0.7069, kb_relative_information_score: 0.3529, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.453, weighted_recall: 0.8779, number_of_instances: 958, precision: 0.8951, predictive_accuracy: 0.8779, prior_entropy: 0.931, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7374, unweighted_recall: 0.8252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 0.6679, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.453, weighted_recall: 0.9896, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.931, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4711, unweighted_recall: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9728, kappa: 0.9399, kb_relative_information_score: 0.844, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.453, weighted_recall: 0.9729, number_of_instances: 958, precision: 0.9728, predictive_accuracy: 0.9729, prior_entropy: 0.931, relative_absolute_error: 0.1787, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3351, unweighted_recall: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9854, kappa: 0.9676, kb_relative_information_score: 0.8624, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.453, weighted_recall: 0.9854, number_of_instances: 958, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.931, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.2917, unweighted_recall: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 0.5644, mean_absolute_error: 0.2335, 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: 0.5155, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.5538, unweighted_recall: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.7273, kappa: 0.3918, kb_relative_information_score: 0.2181, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.453, weighted_recall: 0.7672, number_of_instances: 958, precision: 0.823, predictive_accuracy: 0.7672, prior_entropy: 0.931, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.842, unweighted_recall: 0.6656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8949, kappa: 0.7626, kb_relative_information_score: 0.464, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.453, weighted_recall: 0.8998, number_of_instances: 958, precision: 0.9131, predictive_accuracy: 0.8998, prior_entropy: 0.931, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6704, unweighted_recall: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.6539, kappa: 0.2449, kb_relative_information_score: 0.1786, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.453, weighted_recall: 0.7223, number_of_instances: 958, precision: 0.8051, predictive_accuracy: 0.7223, prior_entropy: 0.931, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8716, unweighted_recall: 0.5994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9424, kappa: 0.871, kb_relative_information_score: 0.467, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.453, weighted_recall: 0.9436, number_of_instances: 958, precision: 0.9473, predictive_accuracy: 0.9436, prior_entropy: 0.931, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3056, root_relative_squared_error: 0.6422, unweighted_recall: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 0.723, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.453, weighted_recall: 0.9916, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.931, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4067, unweighted_recall: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9864, kappa: 0.9698, kb_relative_information_score: 0.718, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.453, weighted_recall: 0.9864, number_of_instances: 958, precision: 0.9867, predictive_accuracy: 0.9864, prior_entropy: 0.931, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.4388, unweighted_recall: 0.9804,

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