OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111509 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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.9099, kappa: 0.7968, kb_relative_information_score: 0.8006, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9235, predictive_accuracy: 0.9134, prior_entropy: 0.931, recall: 0.9134, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.8182, kappa: 0.5895, kb_relative_information_score: 0.6013, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.83, predictive_accuracy: 0.8267, prior_entropy: 0.931, recall: 0.8267, relative_absolute_error: 0.3825, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 0.9976, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.931, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9758, kappa: 0.9461, kb_relative_information_score: 0.9448, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9768, predictive_accuracy: 0.976, prior_entropy: 0.931, recall: 0.976, relative_absolute_error: 0.053, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.7876, kappa: 0.5203, kb_relative_information_score: 0.534, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7968, predictive_accuracy: 0.7975, prior_entropy: 0.931, recall: 0.7975, relative_absolute_error: 0.447, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.7497, kappa: 0.4344, kb_relative_information_score: 0.4764, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7836, predictive_accuracy: 0.7724, prior_entropy: 0.931, recall: 0.7724, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.7348, kappa: 0.4017, kb_relative_information_score: 0.4524, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7756, predictive_accuracy: 0.762, prior_entropy: 0.931, recall: 0.762, relative_absolute_error: 0.5254, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.0252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 0.9952, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.931, recall: 0.9979, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 0.9952, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.931, recall: 0.9979, relative_absolute_error: 0.0046, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9874, kappa: 0.9721, kb_relative_information_score: 0.9712, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9877, predictive_accuracy: 0.9875, prior_entropy: 0.931, recall: 0.9875, relative_absolute_error: 0.0277, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.2352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, f_measure: 0.6489, kappa: 0.2327, kb_relative_information_score: 0.3491, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7837, predictive_accuracy: 0.7171, prior_entropy: 0.931, recall: 0.7171, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5319, root_relative_squared_error: 1.1177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 0.976, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.931, recall: 0.9896, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 0.9976, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.931, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9885, kappa: 0.9745, kb_relative_information_score: 0.9736, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9886, predictive_accuracy: 0.9885, prior_entropy: 0.931, recall: 0.9885, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 0.976, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.931, recall: 0.9896, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.5953, kappa: 0.119, kb_relative_information_score: 0.0585, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6013, predictive_accuracy: 0.5908, prior_entropy: 0.931, recall: 0.5908, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6397, root_relative_squared_error: 1.3442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9843, kappa: 0.9651, kb_relative_information_score: 0.964, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9847, predictive_accuracy: 0.9843, prior_entropy: 0.931, recall: 0.9843, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.2629,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.7501, kappa: 0.4346, kb_relative_information_score: 0.4596, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7626, predictive_accuracy: 0.7651, prior_entropy: 0.931, recall: 0.7651, relative_absolute_error: 0.5185, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4846, root_relative_squared_error: 1.0184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2026, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, predictive_accuracy: 0.6534, prior_entropy: 0.931, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9616, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, root_mean_prior_squared_error: 0.4759,

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

OpenML bootcamp

From your own software

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

OpenML APIs