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: 0.9465, f_measure: 0.8291, kappa: 0.6134, kb_relative_information_score: 298.886, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8665, predictive_accuracy: 0.8424, prior_entropy: 0.9312, recall: 0.8424, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8291, kappa: 0.6134, kb_relative_information_score: 298.886, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8665, predictive_accuracy: 0.8424, prior_entropy: 0.9312, recall: 0.8424, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9586, kappa: 0.9076, kb_relative_information_score: 606.8996, mean_absolute_error: 0.1955, 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: 0.4314, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9629, kappa: 0.9173, kb_relative_information_score: 619.4949, mean_absolute_error: 0.1887, 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: 0.4165, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8344, kappa: 0.6254, kb_relative_information_score: 325.5912, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8684, predictive_accuracy: 0.8466, prior_entropy: 0.9312, recall: 0.8466, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8291, kappa: 0.6134, kb_relative_information_score: 298.886, mean_absolute_error: 0.3364, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8665, predictive_accuracy: 0.8424, prior_entropy: 0.9312, recall: 0.8424, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8344, kappa: 0.6254, kb_relative_information_score: 325.5912, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8684, predictive_accuracy: 0.8466, prior_entropy: 0.9312, recall: 0.8466, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8344, kappa: 0.6254, kb_relative_information_score: 325.5912, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8684, predictive_accuracy: 0.8466, prior_entropy: 0.9312, recall: 0.8466, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.8316, kappa: 0.6191, kb_relative_information_score: 310.1717, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.868, predictive_accuracy: 0.8445, prior_entropy: 0.9312, recall: 0.8445, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8344, kappa: 0.6254, kb_relative_information_score: 325.5912, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8684, predictive_accuracy: 0.8466, prior_entropy: 0.9312, recall: 0.8466, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8415, kappa: 0.6413, kb_relative_information_score: 340.1568, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8751, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8415, kappa: 0.6413, kb_relative_information_score: 340.1568, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8751, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8415, kappa: 0.6413, kb_relative_information_score: 340.1568, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8751, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8415, kappa: 0.6413, kb_relative_information_score: 340.1568, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8751, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8415, kappa: 0.6413, kb_relative_information_score: 340.1568, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8751, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8415, kappa: 0.6413, kb_relative_information_score: 340.1568, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8751, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8415, kappa: 0.6413, kb_relative_information_score: 340.1568, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8751, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8526, kappa: 0.6665, kb_relative_information_score: 360.4975, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8818, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8526, kappa: 0.6665, kb_relative_information_score: 360.4975, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8818, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8526, kappa: 0.6665, kb_relative_information_score: 360.4975, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8818, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8526, kappa: 0.6665, kb_relative_information_score: 360.4975, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8818, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8526, kappa: 0.6665, kb_relative_information_score: 360.4975, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8818, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8526, kappa: 0.6665, kb_relative_information_score: 360.4975, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8818, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8526, kappa: 0.6665, kb_relative_information_score: 360.4975, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8818, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8587, kappa: 0.6804, kb_relative_information_score: 384.0639, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8856, predictive_accuracy: 0.8674, prior_entropy: 0.9312, recall: 0.8674, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8587, kappa: 0.6804, kb_relative_information_score: 384.0639, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8856, predictive_accuracy: 0.8674, prior_entropy: 0.9312, recall: 0.8674, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8587, kappa: 0.6804, kb_relative_information_score: 384.0639, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8856, predictive_accuracy: 0.8674, prior_entropy: 0.9312, recall: 0.8674, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8587, kappa: 0.6804, kb_relative_information_score: 384.0639, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8856, predictive_accuracy: 0.8674, prior_entropy: 0.9312, recall: 0.8674, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8587, kappa: 0.6804, kb_relative_information_score: 384.0639, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8856, predictive_accuracy: 0.8674, prior_entropy: 0.9312, recall: 0.8674, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8587, kappa: 0.6804, kb_relative_information_score: 384.0639, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8856, predictive_accuracy: 0.8674, prior_entropy: 0.9312, recall: 0.8674, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.8587, kappa: 0.6804, kb_relative_information_score: 384.0639, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8856, predictive_accuracy: 0.8674, prior_entropy: 0.9312, recall: 0.8674, relative_absolute_error: 0.6643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3346, root_relative_squared_error: 0.7032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.874, kappa: 0.7151, kb_relative_information_score: 411.2828, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8974, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.874, kappa: 0.7151, kb_relative_information_score: 411.2828, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8974, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.874, kappa: 0.7151, kb_relative_information_score: 411.2828, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8974, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.874, kappa: 0.7151, kb_relative_information_score: 411.2828, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8974, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.874, kappa: 0.7151, kb_relative_information_score: 411.2828, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8974, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.874, kappa: 0.7151, kb_relative_information_score: 411.2828, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8974, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.874, kappa: 0.7151, kb_relative_information_score: 411.2828, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8974, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.8823, kappa: 0.734, kb_relative_information_score: 436.0817, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9029, predictive_accuracy: 0.8883, prior_entropy: 0.9312, recall: 0.8883, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.881, kappa: 0.7309, kb_relative_information_score: 441.9055, mean_absolute_error: 0.2755, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9029, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.8858, kappa: 0.7421, kb_relative_information_score: 446.344, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9052, predictive_accuracy: 0.8914, prior_entropy: 0.9312, recall: 0.8914, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.8858, kappa: 0.7421, kb_relative_information_score: 446.344, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9052, predictive_accuracy: 0.8914, prior_entropy: 0.9312, recall: 0.8914, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.8858, kappa: 0.7421, kb_relative_information_score: 446.344, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9052, predictive_accuracy: 0.8914, prior_entropy: 0.9312, recall: 0.8914, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.8858, kappa: 0.7421, kb_relative_information_score: 446.344, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9052, predictive_accuracy: 0.8914, prior_entropy: 0.9312, recall: 0.8914, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6487,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8319, kappa: 0.6197, kb_relative_information_score: 310.808, mean_absolute_error: 0.3291, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8669, predictive_accuracy: 0.8445, prior_entropy: 0.9312, recall: 0.8445, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7679,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8417, kappa: 0.6418, kb_relative_information_score: 334.9579, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.874, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8395, kappa: 0.6368, kb_relative_information_score: 336.1461, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8714, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8405, kappa: 0.639, kb_relative_information_score: 335.9308, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8732, predictive_accuracy: 0.8518, prior_entropy: 0.9312, recall: 0.8518, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8405, kappa: 0.639, kb_relative_information_score: 335.9308, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8732, predictive_accuracy: 0.8518, prior_entropy: 0.9312, recall: 0.8518, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8405, kappa: 0.639, kb_relative_information_score: 336.6774, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8732, predictive_accuracy: 0.8518, prior_entropy: 0.9312, recall: 0.8518, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8405, kappa: 0.639, kb_relative_information_score: 335.9308, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8732, predictive_accuracy: 0.8518, prior_entropy: 0.9312, recall: 0.8518, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8405, kappa: 0.639, kb_relative_information_score: 335.9308, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8732, predictive_accuracy: 0.8518, prior_entropy: 0.9312, recall: 0.8518, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8405, kappa: 0.639, kb_relative_information_score: 335.9308, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8732, predictive_accuracy: 0.8518, prior_entropy: 0.9312, recall: 0.8518, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8395, kappa: 0.6368, kb_relative_information_score: 337.2441, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8714, predictive_accuracy: 0.8507, prior_entropy: 0.9312, recall: 0.8507, relative_absolute_error: 0.7023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.8417, kappa: 0.6418, kb_relative_information_score: 337.6174, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.874, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.702, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8417, kappa: 0.6418, kb_relative_information_score: 337.4062, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.874, predictive_accuracy: 0.8528, prior_entropy: 0.9312, recall: 0.8528, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7451,

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