OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111854 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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111854 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 0.983, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.453, weighted_recall: 0.999, number_of_instances: 958, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.931, relative_absolute_error: 0.0211, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.0938, unweighted_recall: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9818, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.453, weighted_recall: 1, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, relative_absolute_error: 0.0229, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0451, root_relative_squared_error: 0.0947, unweighted_recall: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 0.9344, mean_absolute_error: 0.034, 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: 0.0751, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.2675, unweighted_recall: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7598, kappa: 0.4717, kb_relative_information_score: 0.3398, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.453, weighted_recall: 0.7589, number_of_instances: 958, precision: 0.7609, predictive_accuracy: 0.7589, prior_entropy: 0.931, relative_absolute_error: 0.6639, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.824, unweighted_recall: 0.7377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7514, kappa: 0.4561, kb_relative_information_score: 0.3277, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.453, weighted_recall: 0.7495, number_of_instances: 958, precision: 0.7543, predictive_accuracy: 0.7495, prior_entropy: 0.931, relative_absolute_error: 0.675, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8299, unweighted_recall: 0.7319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8775, kappa: 0.7311, kb_relative_information_score: 0.6535, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.453, weighted_recall: 0.8768, number_of_instances: 958, precision: 0.8786, predictive_accuracy: 0.8768, prior_entropy: 0.931, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5498, unweighted_recall: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9958, kappa: 0.9908, kb_relative_information_score: 0.9761, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.453, weighted_recall: 0.9958, number_of_instances: 958, precision: 0.9959, predictive_accuracy: 0.9958, prior_entropy: 0.931, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0619, root_relative_squared_error: 0.1302, unweighted_recall: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.983, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, relative_absolute_error: 0.0227, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0313, root_relative_squared_error: 0.0659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9985, mean_absolute_error: 0.0008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, relative_absolute_error: 0.0018, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0145, root_relative_squared_error: 0.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.8774, kappa: 0.7231, kb_relative_information_score: 0.731, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8941, predictive_accuracy: 0.8831, prior_entropy: 0.931, recall: 0.8831, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9989, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, relative_absolute_error: 0.0013, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.013, root_relative_squared_error: 0.0273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9987, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0134, root_relative_squared_error: 0.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9832, kappa: 0.9628, kb_relative_information_score: 0.9279, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9836, predictive_accuracy: 0.9833, prior_entropy: 0.931, recall: 0.9833, relative_absolute_error: 0.0822, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.2389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9811, kappa: 0.958, kb_relative_information_score: 0.9568, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9816, predictive_accuracy: 0.9812, prior_entropy: 0.931, recall: 0.9812, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9615, kappa: 0.9153, kb_relative_information_score: 0.638, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9618, predictive_accuracy: 0.9614, prior_entropy: 0.931, recall: 0.9614, relative_absolute_error: 0.4125, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2462, root_relative_squared_error: 0.5173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.953, kappa: 0.8962, kb_relative_information_score: 0.8919, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.953, predictive_accuracy: 0.953, prior_entropy: 0.931, recall: 0.953, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.953, kappa: 0.8962, kb_relative_information_score: 0.8919, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.953, predictive_accuracy: 0.953, prior_entropy: 0.931, recall: 0.953, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.953, kappa: 0.8962, kb_relative_information_score: 0.8919, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.953, predictive_accuracy: 0.953, prior_entropy: 0.931, recall: 0.953, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9769, kappa: 0.9487, kb_relative_information_score: 0.7613, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9774, predictive_accuracy: 0.977, prior_entropy: 0.931, recall: 0.977, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.953, kappa: 0.8962, kb_relative_information_score: 0.8919, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.953, predictive_accuracy: 0.953, prior_entropy: 0.931, recall: 0.953, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.6827, kappa: 0.2876, kb_relative_information_score: 0.2314, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6801, predictive_accuracy: 0.691, prior_entropy: 0.931, recall: 0.691, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.913, kappa: 0.8046, kb_relative_information_score: 0.6184, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9201, predictive_accuracy: 0.9154, prior_entropy: 0.931, recall: 0.9154, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9594, kappa: 0.9104, kb_relative_information_score: 0.9063, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9595, predictive_accuracy: 0.9593, prior_entropy: 0.931, recall: 0.9593, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9624, kappa: 0.9169, kb_relative_information_score: 0.7199, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9624, predictive_accuracy: 0.9624, prior_entropy: 0.931, recall: 0.9624, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9769, kappa: 0.9487, kb_relative_information_score: 0.7613, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9774, predictive_accuracy: 0.977, prior_entropy: 0.931, recall: 0.977, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.953, kappa: 0.8962, kb_relative_information_score: 0.8919, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.953, predictive_accuracy: 0.953, prior_entropy: 0.931, recall: 0.953, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9594, kappa: 0.9104, kb_relative_information_score: 0.9063, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9595, predictive_accuracy: 0.9593, prior_entropy: 0.931, recall: 0.9593, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.953, kappa: 0.8962, kb_relative_information_score: 0.8919, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.953, predictive_accuracy: 0.953, prior_entropy: 0.931, recall: 0.953, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9624, kappa: 0.9169, kb_relative_information_score: 0.7199, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9624, predictive_accuracy: 0.9624, prior_entropy: 0.931, recall: 0.9624, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.4536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.6827, kappa: 0.2876, kb_relative_information_score: 0.2314, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6801, predictive_accuracy: 0.691, prior_entropy: 0.931, recall: 0.691, relative_absolute_error: 0.756, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.9257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.913, kappa: 0.8046, kb_relative_information_score: 0.6184, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9201, predictive_accuracy: 0.9154, prior_entropy: 0.931, recall: 0.9154, relative_absolute_error: 0.412, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9975, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0139, root_relative_squared_error: 0.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9996, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.002, root_relative_squared_error: 0.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9975, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0139, root_relative_squared_error: 0.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.9998, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.931, recall: 1, relative_absolute_error: 0.0003, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0012, root_relative_squared_error: 0.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 0.1265, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.931, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 0.1265, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.931, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9716, kappa: 0.937, kb_relative_information_score: 0.5808, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9721, predictive_accuracy: 0.9718, prior_entropy: 0.931, recall: 0.9718, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.5465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9716, kappa: 0.9369, kb_relative_information_score: 0.5843, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9723, predictive_accuracy: 0.9718, prior_entropy: 0.931, recall: 0.9718, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.5456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8318, kappa: 0.6204, kb_relative_information_score: 0.5382, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8433, predictive_accuracy: 0.8392, prior_entropy: 0.931, recall: 0.8392, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, f_measure: 0.8517, kappa: 0.6689, kb_relative_information_score: 0.6262, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8523, predictive_accuracy: 0.8539, prior_entropy: 0.931, recall: 0.8539, relative_absolute_error: 0.371, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9685, kappa: 0.9302, kb_relative_information_score: 0.8813, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9688, predictive_accuracy: 0.9687, prior_entropy: 0.931, recall: 0.9687, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.334,
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: 0.6645, f_measure: 0.7256, kappa: 0.3861, kb_relative_information_score: 0.4548, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.804, predictive_accuracy: 0.763, prior_entropy: 0.931, recall: 0.763, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4868, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.6538, kappa: 0.2393, kb_relative_information_score: 0.1054, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7657, predictive_accuracy: 0.7171, prior_entropy: 0.931, recall: 0.7171, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9379,
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: 0.9759, 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: 0.9789, f_measure: 0.9853, kappa: 0.9674, kb_relative_information_score: 0.9664, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9857, predictive_accuracy: 0.9854, prior_entropy: 0.931, recall: 0.9854, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.254,
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: 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: 0.9759, 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: 0.9849, 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,

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