OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 145804 Supervised Classification tic-tac-toe 270274 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9007, kappa: 0.7758, kb_relative_information_score: 536.2679, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9171, predictive_accuracy: 0.905, prior_entropy: 0.9312, recall: 0.905, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.5789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9007, kappa: 0.7758, kb_relative_information_score: 536.2679, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9171, predictive_accuracy: 0.905, prior_entropy: 0.9312, recall: 0.905, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.5789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9133, kappa: 0.8046, kb_relative_information_score: 569.5411, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.926, predictive_accuracy: 0.9165, prior_entropy: 0.9312, recall: 0.9165, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9133, kappa: 0.8046, kb_relative_information_score: 569.5411, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.926, predictive_accuracy: 0.9165, prior_entropy: 0.9312, recall: 0.9165, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9368, kappa: 0.8581, kb_relative_information_score: 608.3399, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9437, predictive_accuracy: 0.9384, prior_entropy: 0.9312, recall: 0.9384, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9346, kappa: 0.8531, kb_relative_information_score: 602.368, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.942, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.4321, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9368, kappa: 0.8581, kb_relative_information_score: 608.3399, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9437, predictive_accuracy: 0.9384, prior_entropy: 0.9312, recall: 0.9384, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9133, kappa: 0.8046, kb_relative_information_score: 569.5411, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.926, predictive_accuracy: 0.9165, prior_entropy: 0.9312, recall: 0.9165, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9368, kappa: 0.8581, kb_relative_information_score: 608.3399, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9437, predictive_accuracy: 0.9384, prior_entropy: 0.9312, recall: 0.9384, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9133, kappa: 0.8046, kb_relative_information_score: 569.5411, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.926, predictive_accuracy: 0.9165, prior_entropy: 0.9312, recall: 0.9165, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9467, kappa: 0.8805, kb_relative_information_score: 644.1962, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9517, predictive_accuracy: 0.9478, prior_entropy: 0.9312, recall: 0.9478, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9133, kappa: 0.8046, kb_relative_information_score: 569.5411, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.926, predictive_accuracy: 0.9165, prior_entropy: 0.9312, recall: 0.9165, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9423, kappa: 0.8706, kb_relative_information_score: 633.8511, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9481, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.3993, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9412, kappa: 0.8681, kb_relative_information_score: 618.6901, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9472, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.4162, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.4967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9133, kappa: 0.8046, kb_relative_information_score: 569.5411, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.926, predictive_accuracy: 0.9165, prior_entropy: 0.9312, recall: 0.9165, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9478, kappa: 0.883, kb_relative_information_score: 651.57, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9526, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.4659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9368, kappa: 0.8581, kb_relative_information_score: 608.3399, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9437, predictive_accuracy: 0.9384, prior_entropy: 0.9312, recall: 0.9384, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9133, kappa: 0.8046, kb_relative_information_score: 569.5411, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.926, predictive_accuracy: 0.9165, prior_entropy: 0.9312, recall: 0.9165, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9301, kappa: 0.843, kb_relative_information_score: 593.2087, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9385, predictive_accuracy: 0.9322, prior_entropy: 0.9312, recall: 0.9322, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.5246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9543, kappa: 0.8978, kb_relative_information_score: 648.7403, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.958, predictive_accuracy: 0.9551, prior_entropy: 0.9312, recall: 0.9551, relative_absolute_error: 0.383, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9586, kappa: 0.9076, kb_relative_information_score: 662.3119, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9617, predictive_accuracy: 0.9593, prior_entropy: 0.9312, recall: 0.9593, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8615, kappa: 0.6867, kb_relative_information_score: 403.1638, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.892, predictive_accuracy: 0.8706, prior_entropy: 0.9312, recall: 0.8706, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.964, kappa: 0.9197, kb_relative_information_score: 686.7764, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9663, predictive_accuracy: 0.9645, prior_entropy: 0.9312, recall: 0.9645, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9597, kappa: 0.91, kb_relative_information_score: 675.3272, mean_absolute_error: 0.1597, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9626, predictive_accuracy: 0.9603, prior_entropy: 0.9312, recall: 0.9603, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9629, kappa: 0.9173, kb_relative_information_score: 693.1956, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9654, predictive_accuracy: 0.9635, prior_entropy: 0.9312, recall: 0.9635, relative_absolute_error: 0.3308, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8615, kappa: 0.6867, kb_relative_information_score: 403.1638, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.892, predictive_accuracy: 0.8706, prior_entropy: 0.9312, recall: 0.8706, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8615, kappa: 0.6867, kb_relative_information_score: 403.1638, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.892, predictive_accuracy: 0.8706, prior_entropy: 0.9312, recall: 0.8706, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8615, kappa: 0.6867, kb_relative_information_score: 403.1638, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.892, predictive_accuracy: 0.8706, prior_entropy: 0.9312, recall: 0.8706, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8615, kappa: 0.6867, kb_relative_information_score: 403.1638, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.892, predictive_accuracy: 0.8706, prior_entropy: 0.9312, recall: 0.8706, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8615, kappa: 0.6867, kb_relative_information_score: 403.1638, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.892, predictive_accuracy: 0.8706, prior_entropy: 0.9312, recall: 0.8706, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8615, kappa: 0.6867, kb_relative_information_score: 403.1638, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.892, predictive_accuracy: 0.8706, prior_entropy: 0.9312, recall: 0.8706, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.6938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 416.8758, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 416.8758, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 416.8758, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 416.8758, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 416.8758, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 416.8758, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.8652, kappa: 0.695, kb_relative_information_score: 416.8758, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8942, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.2015, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.2015, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.2015, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.2015, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.2015, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.2015, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8688, kappa: 0.7033, kb_relative_information_score: 450.391, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8964, predictive_accuracy: 0.8768, prior_entropy: 0.9312, recall: 0.8768, relative_absolute_error: 0.5906, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3109, root_relative_squared_error: 0.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.864, kappa: 0.6923, kb_relative_information_score: 431.2015, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8934, predictive_accuracy: 0.8727, prior_entropy: 0.9312, recall: 0.8727, relative_absolute_error: 0.6093, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.67,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9412, kappa: 0.8681, kb_relative_information_score: 602.8678, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9472, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.4357, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9672, kappa: 0.927, kb_relative_information_score: 646.1926, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9692, predictive_accuracy: 0.9676, prior_entropy: 0.9312, recall: 0.9676, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9554, kappa: 0.9002, kb_relative_information_score: 632.6202, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9589, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.4033, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.4778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8522, kappa: 0.6655, kb_relative_information_score: 356.2535, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8839, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.964, kappa: 0.9197, kb_relative_information_score: 658.7876, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9663, predictive_accuracy: 0.9645, prior_entropy: 0.9312, recall: 0.9645, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.216, root_relative_squared_error: 0.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9683, kappa: 0.9294, kb_relative_information_score: 668.5645, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9701, predictive_accuracy: 0.9687, prior_entropy: 0.9312, recall: 0.9687, relative_absolute_error: 0.36, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8522, kappa: 0.6655, kb_relative_information_score: 356.2535, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8839, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8522, kappa: 0.6655, kb_relative_information_score: 356.2535, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8839, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8501, kappa: 0.6609, kb_relative_information_score: 370.5906, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8803, predictive_accuracy: 0.8601, prior_entropy: 0.9312, recall: 0.8601, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8501, kappa: 0.6609, kb_relative_information_score: 370.5906, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8803, predictive_accuracy: 0.8601, prior_entropy: 0.9312, recall: 0.8601, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8522, kappa: 0.6655, kb_relative_information_score: 356.2535, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8839, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.7303,

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