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: 0.999, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 700.9416, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4028, scimark_benchmark: 1869.1029, usercpu_time_millis: 9.29, usercpu_time_millis_testing: 1.374, usercpu_time_millis_training: 7.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, f_measure: 0.6466, kappa: 0.2096, kb_relative_information_score: 94.9871, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6873, predictive_accuracy: 0.6952, prior_entropy: 0.9312, recall: 0.6952, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9398, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.113, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5165, kb_relative_information_score: -0.3641, 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: 1853.9121, usercpu_time_millis: 0.534, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9145, kappa: 0.8074, kb_relative_information_score: 558.8496, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9261, predictive_accuracy: 0.9175, prior_entropy: 0.9312, recall: 0.9175, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5586, scimark_benchmark: 1835.5512, usercpu_time_millis: 0.563, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.5354, kappa: 0.0313, kb_relative_information_score: 79.4718, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7771, predictive_accuracy: 0.6618, prior_entropy: 0.9312, recall: 0.6618, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9418, scimark_benchmark: 1871.9601, usercpu_time_millis: 1.132, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5165, kb_relative_information_score: -0.1102, 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: 1834.1671, usercpu_time_millis: 1.183, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5165, kb_relative_information_score: 0.3166, 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: 1835.5512, usercpu_time_millis: 1.41, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 1.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 123.8296, mean_absolute_error: 0.3986, 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: 0.8798, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9243, scimark_benchmark: 1831.6117, usercpu_time_millis: 1.808, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 1.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.7022, kappa: 0.3298, kb_relative_information_score: 119.1327, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7012, predictive_accuracy: 0.7119, prior_entropy: 0.9312, recall: 0.7119, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.9306, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.845, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9566, kappa: 0.9032, kb_relative_information_score: 484.9118, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9587, predictive_accuracy: 0.9572, prior_entropy: 0.9312, recall: 0.9572, relative_absolute_error: 0.5604, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.6159, scimark_benchmark: 1875.8384, usercpu_time_millis: 1.747, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.6977, kappa: 0.3335, kb_relative_information_score: 140.8652, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6982, predictive_accuracy: 0.6973, prior_entropy: 0.9312, recall: 0.6973, relative_absolute_error: 0.8596, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.9011, scimark_benchmark: 1863.3509, usercpu_time_millis: 2.298, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 1.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8088, kappa: 0.5833, kb_relative_information_score: 418.5754, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8128, predictive_accuracy: 0.8069, prior_entropy: 0.9312, recall: 0.8069, relative_absolute_error: 0.5662, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.716, scimark_benchmark: 1857.5664, usercpu_time_millis: 2.83, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 2.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8114, kappa: 0.5736, kb_relative_information_score: 298.9615, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.855, predictive_accuracy: 0.8278, prior_entropy: 0.9312, recall: 0.8278, relative_absolute_error: 0.7384, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7704, scimark_benchmark: 1860.7227, usercpu_time_millis: 2.782, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 2.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9167, kappa: 0.8123, kb_relative_information_score: 582.6742, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9284, predictive_accuracy: 0.9196, prior_entropy: 0.9312, recall: 0.9196, relative_absolute_error: 0.4508, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.5376, scimark_benchmark: 1816.4023, usercpu_time_millis: 7.576, usercpu_time_millis_testing: 1.007, usercpu_time_millis_training: 6.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.7112, kappa: 0.3502, kb_relative_information_score: 158.4267, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7104, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9075, scimark_benchmark: 1833.1288, usercpu_time_millis: 3.161, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 2.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.5165, kb_relative_information_score: 61.2448, mean_absolute_error: 0.4276, 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: 0.9438, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9509, scimark_benchmark: 1814.9617, usercpu_time_millis: 2.096, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 1.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8698, kappa: 0.7055, kb_relative_information_score: 373.4114, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8917, predictive_accuracy: 0.8768, prior_entropy: 0.9312, recall: 0.8768, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.7108, scimark_benchmark: 1835.0255, usercpu_time_millis: 1.266, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.5165, kb_relative_information_score: -0.169, 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: 1818.9456, usercpu_time_millis: 0.623, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.6991, kappa: 0.3372, kb_relative_information_score: 115.074, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6999, predictive_accuracy: 0.6983, prior_entropy: 0.9312, recall: 0.6983, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9251, scimark_benchmark: 1818.9456, usercpu_time_millis: 2.039, usercpu_time_millis_testing: 0.291, usercpu_time_millis_training: 1.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.6905, kappa: 0.3028, kb_relative_information_score: 127.8864, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7243, predictive_accuracy: 0.7244, prior_entropy: 0.9312, recall: 0.7244, relative_absolute_error: 0.8746, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9046, scimark_benchmark: 1821.6809, usercpu_time_millis: 2.867, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 2.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 763.5411, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3567, scimark_benchmark: 1804.1579, usercpu_time_millis: 7.636, usercpu_time_millis_testing: 0.881, usercpu_time_millis_training: 6.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.5165, kb_relative_information_score: 42.3843, mean_absolute_error: 0.4347, 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: 0.9596, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9655, scimark_benchmark: 1814.1148, usercpu_time_millis: 1.286, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.5165, kb_relative_information_score: -0.2104, 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: 1863.7397, usercpu_time_millis: 0.553, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5165, kb_relative_information_score: 0.1084, 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: 1853.3841, usercpu_time_millis: 0.607, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.5469, kappa: 0.0506, kb_relative_information_score: 79.0699, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7794, predictive_accuracy: 0.667, prior_entropy: 0.9312, recall: 0.667, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9423, scimark_benchmark: 1841.5984, usercpu_time_millis: 0.863, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9853, kappa: 0.9674, kb_relative_information_score: 624.2232, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9857, predictive_accuracy: 0.9854, prior_entropy: 0.9312, recall: 0.9854, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.4817, scimark_benchmark: 1828.686, usercpu_time_millis: 3.99, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 3.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.6825, kappa: 0.2833, kb_relative_information_score: 106.525, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7061, predictive_accuracy: 0.714, prior_entropy: 0.9312, recall: 0.714, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.441, root_relative_squared_error: 0.9267, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.455, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 1.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.5776, kappa: 0.1037, kb_relative_information_score: 87.3248, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7859, predictive_accuracy: 0.6816, prior_entropy: 0.9312, recall: 0.6816, relative_absolute_error: 0.9172, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9397, scimark_benchmark: 1858.0571, usercpu_time_millis: 1.692, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 1.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8297, kappa: 0.6146, kb_relative_information_score: 308.1469, mean_absolute_error: 0.3298, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8642, predictive_accuracy: 0.8424, prior_entropy: 0.9312, recall: 0.8424, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3666, root_relative_squared_error: 0.7704, scimark_benchmark: 1867.2108, usercpu_time_millis: 2.311, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 1.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.871, kappa: 0.7111, kb_relative_information_score: 452.4104, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8736, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.5454, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6769, scimark_benchmark: 1865.6227, usercpu_time_millis: 3.693, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 3.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.6911, kappa: 0.3044, kb_relative_information_score: 192.5073, mean_absolute_error: 0.3644, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6896, predictive_accuracy: 0.7015, prior_entropy: 0.9312, recall: 0.7015, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4104, root_relative_squared_error: 0.8625, scimark_benchmark: 1872.8797, usercpu_time_millis: 3.623, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 3.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.929, kappa: 0.8404, kb_relative_information_score: 604.8426, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9377, predictive_accuracy: 0.9311, prior_entropy: 0.9312, recall: 0.9311, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.5137, scimark_benchmark: 1865.5486, usercpu_time_millis: 3.327, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 2.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 777.076, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.2335, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.326, scimark_benchmark: 1860.7926, usercpu_time_millis: 10.714, usercpu_time_millis_testing: 1.521, usercpu_time_millis_training: 9.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.5165, kb_relative_information_score: -0.2303, 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: 1853.454, usercpu_time_millis: 0.536, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9726, kappa: 0.9391, kb_relative_information_score: 518.6152, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9736, predictive_accuracy: 0.9729, prior_entropy: 0.9312, recall: 0.9729, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.5839, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.746, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8507, kappa: 0.6622, kb_relative_information_score: 383.3927, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8843, predictive_accuracy: 0.8612, prior_entropy: 0.9312, recall: 0.8612, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.34, root_relative_squared_error: 0.7146, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.987, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 0.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5165, kb_relative_information_score: 0.1538, 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: 1870.4029, usercpu_time_millis: 1.4, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 1.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9223, kappa: 0.8252, kb_relative_information_score: 577.9297, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9326, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5389, scimark_benchmark: 1864.0535, usercpu_time_millis: 3.13, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 2.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 670.0639, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4277, scimark_benchmark: 1868.2531, usercpu_time_millis: 12.042, usercpu_time_millis_testing: 1.87, usercpu_time_millis_training: 10.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8238, kappa: 0.6017, kb_relative_information_score: 346.6294, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.871, predictive_accuracy: 0.8392, prior_entropy: 0.9312, recall: 0.8392, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7504, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.245, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5165, kb_relative_information_score: -0.4091, 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: 1868.2531, usercpu_time_millis: 0.601, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5165, kb_relative_information_score: 0.2221, 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: 1867.725, usercpu_time_millis: 1.177, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.729, kappa: 0.3875, kb_relative_information_score: 182.9548, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7551, predictive_accuracy: 0.7526, prior_entropy: 0.9312, recall: 0.7526, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8633, scimark_benchmark: 1865.9046, usercpu_time_millis: 1.31, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 1.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.724, f_measure: 0.5165, kb_relative_information_score: 45.5645, mean_absolute_error: 0.4324, 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: 0.9544, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9633, scimark_benchmark: 1872.6954, usercpu_time_millis: 1.407, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4968, f_measure: 0.5165, kb_relative_information_score: 0.209, 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: 1869.6309, usercpu_time_millis: 1.691, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 1.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.6073, kappa: 0.1454, kb_relative_information_score: 89.1984, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7083, predictive_accuracy: 0.6868, prior_entropy: 0.9312, recall: 0.6868, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9417, scimark_benchmark: 1852.7764, usercpu_time_millis: 1.836, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 1.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.5165, kb_relative_information_score: 0.1553, 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: 1872.5609, usercpu_time_millis: 2.066, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 1.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.5165, kb_relative_information_score: 20.9116, mean_absolute_error: 0.4451, 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: 0.9826, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9838, scimark_benchmark: 1865.8853, usercpu_time_millis: 1.934, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.5165, kb_relative_information_score: 53.6421, mean_absolute_error: 0.431, 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: 0.9515, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9568, scimark_benchmark: 1869.8223, usercpu_time_millis: 1.98, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7416, f_measure: 0.6897, kappa: 0.298, kb_relative_information_score: 112.5688, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7026, predictive_accuracy: 0.714, prior_entropy: 0.9312, recall: 0.714, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9295, scimark_benchmark: 1872.0299, usercpu_time_millis: 2.235, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 1.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9099, kappa: 0.7968, kb_relative_information_score: 569.5846, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9235, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.4659, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.5477, scimark_benchmark: 1869.8223, usercpu_time_millis: 3.242, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 2.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.8796, kappa: 0.728, kb_relative_information_score: 395.2302, mean_absolute_error: 0.293, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8965, predictive_accuracy: 0.8852, prior_entropy: 0.9312, recall: 0.8852, relative_absolute_error: 0.6468, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.694, scimark_benchmark: 1868.2531, usercpu_time_millis: 3.705, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 3.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 555.6931, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.26, root_relative_squared_error: 0.5464, scimark_benchmark: 1872.0299, usercpu_time_millis: 3.425, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 3.008,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

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

OpenML APIs