OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111827 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: 0.9012, f_measure: 0.6628, kappa: 0.2623, kb_relative_information_score: 152.0209, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8077, predictive_accuracy: 0.7276, prior_entropy: 0.9312, recall: 0.7276, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.887, scimark_benchmark: 1828.2321, usercpu_time_millis: 4.208, usercpu_time_millis_testing: 0.684, usercpu_time_millis_training: 3.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9041, kappa: 0.7837, kb_relative_information_score: 565.448, mean_absolute_error: 0.2107, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9195, predictive_accuracy: 0.9081, prior_entropy: 0.9312, recall: 0.9081, relative_absolute_error: 0.4652, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.5575, scimark_benchmark: 1831.6117, usercpu_time_millis: 4.113, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 3.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 812.7067, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3013, scimark_benchmark: 1830.7134, usercpu_time_millis: 8.628, usercpu_time_millis_testing: 1.146, usercpu_time_millis_training: 7.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9864, kappa: 0.9698, kb_relative_information_score: 594.2545, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9867, predictive_accuracy: 0.9864, prior_entropy: 0.9312, recall: 0.9864, relative_absolute_error: 0.4445, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.52, scimark_benchmark: 1828.158, usercpu_time_millis: 5.678, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 4.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.8891, kappa: 0.7493, kb_relative_information_score: 499.0726, mean_absolute_error: 0.2464, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9092, predictive_accuracy: 0.8946, prior_entropy: 0.9312, recall: 0.8946, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.289, root_relative_squared_error: 0.6073, scimark_benchmark: 1873.5991, usercpu_time_millis: 3.381, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 2.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.963, kappa: 0.9175, kb_relative_information_score: 589.2787, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9649, predictive_accuracy: 0.9635, prior_entropy: 0.9312, recall: 0.9635, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.545, scimark_benchmark: 1823.238, usercpu_time_millis: 5.841, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 5.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8813, kappa: 0.7317, kb_relative_information_score: 408.518, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9012, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.681, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.539, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.5165, kb_relative_information_score: -0.3072, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1873.4078, usercpu_time_millis: 1.084, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.8579, kappa: 0.6784, kb_relative_information_score: 433.2108, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8898, predictive_accuracy: 0.8674, prior_entropy: 0.9312, recall: 0.8674, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6751, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.051, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9514, kappa: 0.8915, kb_relative_information_score: 485.35, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9532, predictive_accuracy: 0.952, prior_entropy: 0.9312, recall: 0.952, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.6141, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.559, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.5165, kb_relative_information_score: 74.6799, mean_absolute_error: 0.4144, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9147, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9569, scimark_benchmark: 1874.5882, usercpu_time_millis: 1.421, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.5165, kb_relative_information_score: 0.0989, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.665, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 587.983, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.516, scimark_benchmark: 1836.028, usercpu_time_millis: 5.261, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 4.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9532, kappa: 0.8953, kb_relative_information_score: 648.1713, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9571, predictive_accuracy: 0.9541, prior_entropy: 0.9312, recall: 0.9541, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.467, scimark_benchmark: 1822.71, usercpu_time_millis: 6.781, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 5.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.6557, kappa: 0.2484, kb_relative_information_score: 156.0416, mean_absolute_error: 0.3933, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8057, predictive_accuracy: 0.7234, prior_entropy: 0.9312, recall: 0.7234, relative_absolute_error: 0.8682, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8806, scimark_benchmark: 1748.5245, usercpu_time_millis: 2.055, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.882, kappa: 0.7332, kb_relative_information_score: 509.3319, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9046, predictive_accuracy: 0.8883, prior_entropy: 0.9312, recall: 0.8883, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.6023, scimark_benchmark: 1817.7157, usercpu_time_millis: 6.884, usercpu_time_millis_testing: 1.046, usercpu_time_millis_training: 5.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8457, kappa: 0.6508, kb_relative_information_score: 350.7232, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8752, predictive_accuracy: 0.856, prior_entropy: 0.9312, recall: 0.856, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7311, scimark_benchmark: 1868.2531, usercpu_time_millis: 4.8, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 4.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.5165, kb_relative_information_score: -0.5734, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1856.401, usercpu_time_millis: 0.396, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.5165, kb_relative_information_score: 0.1144, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.66, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.8579, kappa: 0.6784, kb_relative_information_score: 424.7963, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8898, predictive_accuracy: 0.8674, prior_entropy: 0.9312, recall: 0.8674, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.682, scimark_benchmark: 1828.686, usercpu_time_millis: 0.994, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.6907, kappa: 0.3034, kb_relative_information_score: 121.2957, mean_absolute_error: 0.3991, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6894, predictive_accuracy: 0.7015, prior_entropy: 0.9312, recall: 0.7015, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9315, scimark_benchmark: 1837.5732, usercpu_time_millis: 1.039, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.5165, kb_relative_information_score: 0.2351, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1856.035, usercpu_time_millis: 1.411, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 1.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.6874, kappa: 0.294, kb_relative_information_score: 110.0184, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7095, predictive_accuracy: 0.7171, prior_entropy: 0.9312, recall: 0.7171, relative_absolute_error: 0.8929, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9308, scimark_benchmark: 1828.686, usercpu_time_millis: 1.548, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 1.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7709, f_measure: 0.743, kappa: 0.4186, kb_relative_information_score: 180.6556, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7626, predictive_accuracy: 0.762, prior_entropy: 0.9312, recall: 0.762, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8859, scimark_benchmark: 1854.9525, usercpu_time_millis: 3.229, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 2.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.5165, kb_relative_information_score: -0.3977, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1819.8653, usercpu_time_millis: 0.551, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9588, kappa: 0.9081, kb_relative_information_score: 477.2863, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9606, predictive_accuracy: 0.9593, prior_entropy: 0.9312, recall: 0.9593, relative_absolute_error: 0.5708, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.6213, scimark_benchmark: 1869.8223, usercpu_time_millis: 4.506, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 3.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9565, kappa: 0.9027, kb_relative_information_score: 673.5817, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9598, predictive_accuracy: 0.9572, prior_entropy: 0.9312, recall: 0.9572, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4465, scimark_benchmark: 1827.287, usercpu_time_millis: 2.003, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 1.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.7458, kappa: 0.4316, kb_relative_information_score: 233.3697, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8359, predictive_accuracy: 0.7808, prior_entropy: 0.9312, recall: 0.7808, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8238, scimark_benchmark: 1858.6775, usercpu_time_millis: 5.177, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 4.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8967, kappa: 0.7688, kb_relative_information_score: 454.9043, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8997, predictive_accuracy: 0.8987, prior_entropy: 0.9312, recall: 0.8987, relative_absolute_error: 0.5484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6684, scimark_benchmark: 1816.9803, usercpu_time_millis: 2.354, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 2.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.979, kappa: 0.9532, kb_relative_information_score: 713.8013, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9798, predictive_accuracy: 0.9791, prior_entropy: 0.9312, recall: 0.9791, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4337, scimark_benchmark: 1820.3031, usercpu_time_millis: 2.989, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 2.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.5165, kb_relative_information_score: 44.8342, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9652, scimark_benchmark: 1962.7224, usercpu_time_millis: 1.336, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 1.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9608, kappa: 0.9124, kb_relative_information_score: 704.6708, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9635, predictive_accuracy: 0.9614, prior_entropy: 0.9312, recall: 0.9614, relative_absolute_error: 0.3119, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4229, scimark_benchmark: 1857.5664, usercpu_time_millis: 5.702, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 5.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9543, kappa: 0.8978, kb_relative_information_score: 629.4293, mean_absolute_error: 0.1832, 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: 0.4045, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4862, scimark_benchmark: 1863.3419, usercpu_time_millis: 6.66, usercpu_time_millis_testing: 0.966, usercpu_time_millis_training: 5.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8591, kappa: 0.6814, kb_relative_information_score: 379.7066, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8837, predictive_accuracy: 0.8674, prior_entropy: 0.9312, recall: 0.8674, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.706, scimark_benchmark: 1873.5991, usercpu_time_millis: 4.832, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 4.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 792.7884, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3185, scimark_benchmark: 1872.4881, usercpu_time_millis: 5.284, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 4.615,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9155, kappa: 0.8097, kb_relative_information_score: 602.3361, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9276, predictive_accuracy: 0.9186, prior_entropy: 0.9312, recall: 0.9186, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.248, root_relative_squared_error: 0.5212, scimark_benchmark: 1844.9074, usercpu_time_millis: 8.043, usercpu_time_millis_testing: 1.204, usercpu_time_millis_training: 6.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 699.5731, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4128, scimark_benchmark: 1829.217, usercpu_time_millis: 5.785, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 5.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9629, kappa: 0.9173, kb_relative_information_score: 481.0251, mean_absolute_error: 0.2544, 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: 0.5616, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.623, scimark_benchmark: 1832.6707, usercpu_time_millis: 6.263, usercpu_time_millis_testing: 1.051, usercpu_time_millis_training: 5.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.7429, kappa: 0.4233, kb_relative_information_score: 202.4559, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8152, predictive_accuracy: 0.7756, prior_entropy: 0.9312, recall: 0.7756, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8505, scimark_benchmark: 1868.2531, usercpu_time_millis: 1.324, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7249, f_measure: 0.5888, kappa: 0.1164, kb_relative_information_score: 81.0018, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7234, predictive_accuracy: 0.6816, prior_entropy: 0.9312, recall: 0.6816, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9429, scimark_benchmark: 1872.5609, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 657.4083, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4548, scimark_benchmark: 1872.0299, usercpu_time_millis: 2.284, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 2.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.6324, kappa: 0.2009, kb_relative_information_score: 96.1871, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7761, predictive_accuracy: 0.7077, prior_entropy: 0.9312, recall: 0.7077, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9323, scimark_benchmark: 1831.1891, usercpu_time_millis: 0.404, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5165, kb_relative_information_score: -0.6283, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1873.3496, usercpu_time_millis: 0.799, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 770.0151, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.3651, scimark_benchmark: 1844.4409, usercpu_time_millis: 0.89, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8924, kappa: 0.7621, kb_relative_information_score: 570.0423, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8923, predictive_accuracy: 0.8925, prior_entropy: 0.9312, recall: 0.8925, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.6068, scimark_benchmark: 1844.5254, usercpu_time_millis: 0.428, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.911, kappa: 0.7994, kb_relative_information_score: 583.9813, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9243, predictive_accuracy: 0.9144, prior_entropy: 0.9312, recall: 0.9144, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.5396, scimark_benchmark: 1855.7107, usercpu_time_millis: 1.517, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9135, kappa: 0.8051, kb_relative_information_score: 590.0787, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9247, predictive_accuracy: 0.9165, prior_entropy: 0.9312, recall: 0.9165, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.5373, scimark_benchmark: 1749.8754, usercpu_time_millis: 0.423, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8101, kappa: 0.5706, kb_relative_information_score: 294.5322, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8543, predictive_accuracy: 0.8267, prior_entropy: 0.9312, recall: 0.8267, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7738, scimark_benchmark: 1841.7813, usercpu_time_millis: 2.419, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 2.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5165, kb_relative_information_score: 0.0999, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1838.7996, usercpu_time_millis: 1.388, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 1.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7459, kappa: 0.4296, kb_relative_information_score: 221.4134, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8167, predictive_accuracy: 0.7777, prior_entropy: 0.9312, recall: 0.7777, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8303, scimark_benchmark: 1846.4972, usercpu_time_millis: 3.042, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 2.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7951, f_measure: 0.6999, kappa: 0.3239, kb_relative_information_score: 125.7193, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7366, predictive_accuracy: 0.7328, prior_entropy: 0.9312, recall: 0.7328, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9081, scimark_benchmark: 1832.1735, usercpu_time_millis: 0.711, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.5165, kb_relative_information_score: -0.2331, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1860.5921, usercpu_time_millis: 1.013, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8251, kappa: 0.6046, kb_relative_information_score: 397.7421, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8717, predictive_accuracy: 0.8403, prior_entropy: 0.9312, recall: 0.8403, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.7128, scimark_benchmark: 1859.5544, usercpu_time_millis: 4.143, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 3.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5165, kb_relative_information_score: 0.0392, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1853.3248, usercpu_time_millis: 0.969, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 110.6424, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.896, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.94, scimark_benchmark: 1850.1514, usercpu_time_millis: 1.467, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 1.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.7306, kappa: 0.3995, kb_relative_information_score: 211.5007, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8301, predictive_accuracy: 0.7704, prior_entropy: 0.9312, recall: 0.7704, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8408, scimark_benchmark: 1850.6652, usercpu_time_millis: 3.082, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 2.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 613.6039, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4931, scimark_benchmark: 1849.6404, usercpu_time_millis: 3.654, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 3.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.5165, kb_relative_information_score: -0.8289, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1841.8533, usercpu_time_millis: 0.894, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 0.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.95, kappa: 0.888, kb_relative_information_score: 673.9242, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9544, predictive_accuracy: 0.9509, prior_entropy: 0.9312, recall: 0.9509, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4556, scimark_benchmark: 1867.6581, usercpu_time_millis: 3.743, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 3.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7693, kappa: 0.4818, kb_relative_information_score: 255.7808, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8454, predictive_accuracy: 0.7975, prior_entropy: 0.9312, recall: 0.7975, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8296, scimark_benchmark: 1860.9826, usercpu_time_millis: 1.722, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 1.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8412, kappa: 0.6472, kb_relative_information_score: 379.4042, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8408, predictive_accuracy: 0.8424, prior_entropy: 0.9312, recall: 0.8424, relative_absolute_error: 0.6092, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.7323, scimark_benchmark: 1874.1301, usercpu_time_millis: 0.458, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8059, f_measure: 0.7664, kappa: 0.4756, kb_relative_information_score: 266.6737, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8442, predictive_accuracy: 0.7954, prior_entropy: 0.9312, recall: 0.7954, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.393, root_relative_squared_error: 0.8258, scimark_benchmark: 1760.672, usercpu_time_millis: 0.934, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8375, kappa: 0.6347, kb_relative_information_score: 380.4266, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8423, predictive_accuracy: 0.8424, prior_entropy: 0.9312, recall: 0.8424, relative_absolute_error: 0.6136, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.7255, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.641, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.5165, kb_relative_information_score: 0.2042, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1856.3607, usercpu_time_millis: 1.437, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7591, f_measure: 0.526, kappa: 0.0157, kb_relative_information_score: 73.4719, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7753, predictive_accuracy: 0.6576, prior_entropy: 0.9312, recall: 0.6576, relative_absolute_error: 0.936, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9456, scimark_benchmark: 1864.7283, usercpu_time_millis: 0.495, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9885, kappa: 0.9745, kb_relative_information_score: 569.2116, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9886, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2563, root_relative_squared_error: 0.5387, scimark_benchmark: 1850.1514, usercpu_time_millis: 5.032, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 4.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 636.7873, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4797, scimark_benchmark: 1848.2313, usercpu_time_millis: 6.907, usercpu_time_millis_testing: 1.106, usercpu_time_millis_training: 5.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7726, kappa: 0.4877, kb_relative_information_score: 197.8626, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8324, predictive_accuracy: 0.7975, prior_entropy: 0.9312, recall: 0.7975, relative_absolute_error: 0.83, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.858, scimark_benchmark: 1757.1582, usercpu_time_millis: 1.698, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.41,

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