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: 0.7593, f_measure: 0.5189, kappa: 0.0039, kb_relative_information_score: 68.8913, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.774, predictive_accuracy: 0.6545, prior_entropy: 0.9312, recall: 0.6545, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9481, scimark_benchmark: 1860.9826, usercpu_time_millis: 1.842, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 1.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.876, kappa: 0.7197, kb_relative_information_score: 487.7423, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9008, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6233, scimark_benchmark: 1751.0449, usercpu_time_millis: 3.302, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 2.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.5165, kb_relative_information_score: 51.2613, mean_absolute_error: 0.4293, 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: 0.9477, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9599, scimark_benchmark: 1861.7548, usercpu_time_millis: 0.136, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 681.4599, mean_absolute_error: 0.1573, 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: 0.3473, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.206, root_relative_squared_error: 0.4328, scimark_benchmark: 1859.9421, usercpu_time_millis: 3.883, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 3.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.5165, kb_relative_information_score: 37.3486, mean_absolute_error: 0.4372, 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: 0.965, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9693, scimark_benchmark: 1863.4543, usercpu_time_millis: 1.121, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.7836, kappa: 0.5104, kb_relative_information_score: 280.887, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8099, predictive_accuracy: 0.7996, prior_entropy: 0.9312, recall: 0.7996, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.8008, scimark_benchmark: 1858.3038, usercpu_time_millis: 0.074, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.5764, kappa: 0.0968, kb_relative_information_score: 86.706, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7327, predictive_accuracy: 0.6775, prior_entropy: 0.9312, recall: 0.6775, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9402, scimark_benchmark: 1869.0217, usercpu_time_millis: 0.99, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.6857, kappa: 0.293, kb_relative_information_score: 187.7085, mean_absolute_error: 0.3639, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6835, predictive_accuracy: 0.6952, prior_entropy: 0.9312, recall: 0.6952, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8695, scimark_benchmark: 1856.6497, usercpu_time_millis: 0.955, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.7286, kappa: 0.3862, kb_relative_information_score: 226.6603, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7502, predictive_accuracy: 0.7505, prior_entropy: 0.9312, recall: 0.7505, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8298, scimark_benchmark: 1864.3411, usercpu_time_millis: 1.248, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 1.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7935, kappa: 0.5337, kb_relative_information_score: 221.1128, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.842, predictive_accuracy: 0.8132, prior_entropy: 0.9312, recall: 0.8132, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8456, scimark_benchmark: 1861.4992, usercpu_time_millis: 3.643, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 3.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9295, kappa: 0.8418, kb_relative_information_score: 434.073, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9349, predictive_accuracy: 0.9311, prior_entropy: 0.9312, recall: 0.9311, relative_absolute_error: 0.61, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.6612, scimark_benchmark: 1848.0952, usercpu_time_millis: 1.178, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 1.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.5165, kb_relative_information_score: 56.9165, mean_absolute_error: 0.4255, 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: 0.9392, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9575, scimark_benchmark: 1845.4779, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8127, kappa: 0.5765, kb_relative_information_score: 302.1117, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8557, predictive_accuracy: 0.8288, prior_entropy: 0.9312, recall: 0.8288, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7677, scimark_benchmark: 1841.3478, usercpu_time_millis: 6.115, usercpu_time_millis_testing: 1.028, usercpu_time_millis_training: 5.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9018, kappa: 0.7785, kb_relative_information_score: 560.0729, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9179, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5586, scimark_benchmark: 1858.5184, usercpu_time_millis: 5.867, usercpu_time_millis_testing: 0.916, usercpu_time_millis_training: 4.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7733, f_measure: 0.5165, kb_relative_information_score: 55.1417, mean_absolute_error: 0.4312, 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: 0.9518, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9576, scimark_benchmark: 1853.7787, usercpu_time_millis: 1.857, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9489, kappa: 0.8855, kb_relative_information_score: 532.1174, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9535, predictive_accuracy: 0.9499, prior_entropy: 0.9312, recall: 0.9499, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.5697, scimark_benchmark: 1850.6792, usercpu_time_millis: 3.508, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 3.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8447, kappa: 0.6486, kb_relative_information_score: 370.4757, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8734, predictive_accuracy: 0.8549, prior_entropy: 0.9312, recall: 0.8549, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7207, scimark_benchmark: 1862.0186, usercpu_time_millis: 2.71, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 2.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.8835, kappa: 0.7372, kb_relative_information_score: 522.4247, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.897, predictive_accuracy: 0.8883, prior_entropy: 0.9312, recall: 0.8883, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6168, scimark_benchmark: 1859.9421, usercpu_time_millis: 7.062, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 6.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.607, kappa: 0.1549, kb_relative_information_score: 108.1451, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7769, predictive_accuracy: 0.6952, prior_entropy: 0.9312, recall: 0.6952, relative_absolute_error: 0.8963, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9165, scimark_benchmark: 1871.1103, usercpu_time_millis: 2.725, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 2.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.6907, kappa: 0.3034, kb_relative_information_score: 208.3169, mean_absolute_error: 0.3572, 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: 0.7885, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8498, scimark_benchmark: 1842.3616, usercpu_time_millis: 1.511, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 1.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.7636, kappa: 0.4684, kb_relative_information_score: 166.5491, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8298, predictive_accuracy: 0.7912, prior_entropy: 0.9312, recall: 0.7912, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.886, scimark_benchmark: 1862.7806, usercpu_time_millis: 2.943, usercpu_time_millis_testing: 0.509, usercpu_time_millis_training: 2.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.5165, kb_relative_information_score: -2.4179, mean_absolute_error: 0.4535, 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: 1.001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1861.0453, usercpu_time_millis: 0.39, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9833, kappa: 0.963, kb_relative_information_score: 858.8279, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2807, scimark_benchmark: 1841.4607, usercpu_time_millis: 8.386, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 7.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.6484, kappa: 0.2343, kb_relative_information_score: 159.7186, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8036, predictive_accuracy: 0.7192, prior_entropy: 0.9312, recall: 0.7192, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8782, scimark_benchmark: 1859.035, usercpu_time_millis: 2.237, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 1.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.5165, kb_relative_information_score: 57.8513, mean_absolute_error: 0.4306, 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: 0.9506, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9569, scimark_benchmark: 1858.9715, usercpu_time_millis: 1.795, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 1.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9874, kappa: 0.9721, kb_relative_information_score: 757.7772, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9877, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.2509, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.363, scimark_benchmark: 1734.7257, usercpu_time_millis: 9.32, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 8.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7214, kappa: 0.3763, kb_relative_information_score: 189.2474, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7949, predictive_accuracy: 0.7589, prior_entropy: 0.9312, recall: 0.7589, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8545, scimark_benchmark: 1849.5895, usercpu_time_millis: 0.597, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.5901, kappa: 0.1261, kb_relative_information_score: 92.83, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7888, predictive_accuracy: 0.6879, prior_entropy: 0.9312, recall: 0.6879, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.9326, scimark_benchmark: 1858.8601, usercpu_time_millis: 1.045, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9726, kappa: 0.939, kb_relative_information_score: 553.8759, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9739, predictive_accuracy: 0.9729, prior_entropy: 0.9312, recall: 0.9729, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.5684, scimark_benchmark: 1863.4543, usercpu_time_millis: 3.798, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 3.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.5776, kappa: 0.1037, kb_relative_information_score: 91.5877, mean_absolute_error: 0.4145, 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: 0.9151, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9286, scimark_benchmark: 1851.0015, usercpu_time_millis: 2.977, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 2.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9212, kappa: 0.8226, kb_relative_information_score: 581.0995, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9318, predictive_accuracy: 0.9238, prior_entropy: 0.9312, recall: 0.9238, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5365, scimark_benchmark: 1860.5921, usercpu_time_millis: 3.439, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 2.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9843, kappa: 0.9651, kb_relative_information_score: 508.8844, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9846, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.279, root_relative_squared_error: 0.5862, scimark_benchmark: 1865.7643, usercpu_time_millis: 6.55, usercpu_time_millis_testing: 0.996, usercpu_time_millis_training: 5.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.7043, kappa: 0.3438, kb_relative_information_score: 161.0298, mean_absolute_error: 0.3915, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8106, predictive_accuracy: 0.7516, prior_entropy: 0.9312, recall: 0.7516, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8831, scimark_benchmark: 1860.9826, usercpu_time_millis: 0.276, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9074, f_measure: 0.6751, kappa: 0.2864, kb_relative_information_score: 156.5216, mean_absolute_error: 0.3958, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8114, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8838, scimark_benchmark: 1860.9838, usercpu_time_millis: 3.447, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 2.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.7479, kappa: 0.4357, kb_relative_information_score: 229.1856, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8341, predictive_accuracy: 0.7818, prior_entropy: 0.9312, recall: 0.7818, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.8274, scimark_benchmark: 1867.6581, usercpu_time_millis: 0.735, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.64,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.7577, kappa: 0.4568, kb_relative_information_score: 256.1372, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8406, predictive_accuracy: 0.7891, prior_entropy: 0.9312, recall: 0.7891, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.8042, scimark_benchmark: 1850.1514, usercpu_time_millis: 4.755, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 3.927,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7032, kappa: 0.3293, kb_relative_information_score: 121.6196, mean_absolute_error: 0.399, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7065, predictive_accuracy: 0.7182, prior_entropy: 0.9312, recall: 0.7182, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.9269, scimark_benchmark: 1867.1999, usercpu_time_millis: 2.157, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.874,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.6854, kappa: 0.3068, kb_relative_information_score: 131.8522, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8146, predictive_accuracy: 0.7411, prior_entropy: 0.9312, recall: 0.7411, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9072, scimark_benchmark: 1858.0046, usercpu_time_millis: 3.116, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 2.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9434, kappa: 0.8731, kb_relative_information_score: 567.9263, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.949, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.256, root_relative_squared_error: 0.538, scimark_benchmark: 1864.2071, usercpu_time_millis: 11.255, usercpu_time_millis_testing: 1.871, usercpu_time_millis_training: 9.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 738.2761, mean_absolute_error: 0.1266, 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: 0.2795, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3702, scimark_benchmark: 1867.1999, usercpu_time_millis: 2.035, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 1.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.926, kappa: 0.8338, kb_relative_information_score: 440.3642, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9331, predictive_accuracy: 0.928, prior_entropy: 0.9312, recall: 0.928, relative_absolute_error: 0.5941, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6617, scimark_benchmark: 2111.489, usercpu_time_millis: 0.81, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.876, kappa: 0.7197, kb_relative_information_score: 471.2413, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9008, predictive_accuracy: 0.8831, prior_entropy: 0.9312, recall: 0.8831, relative_absolute_error: 0.5677, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6363, scimark_benchmark: 1858.5184, usercpu_time_millis: 5.237, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 4.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 848.0472, mean_absolute_error: 0.0616, 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: 0.1359, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.2751, scimark_benchmark: 1865.8326, usercpu_time_millis: 8.708, usercpu_time_millis_testing: 1.104, usercpu_time_millis_training: 7.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.5165, kb_relative_information_score: 66.4522, mean_absolute_error: 0.4262, 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: 0.9407, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.951, scimark_benchmark: 1876.5379, usercpu_time_millis: 0.917, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 642.5409, mean_absolute_error: 0.179, 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: 0.3952, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4632, scimark_benchmark: 1854.8069, usercpu_time_millis: 3.774, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 3.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 763.4875, mean_absolute_error: 0.1138, 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: 0.2513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.3379, scimark_benchmark: 1860.0755, usercpu_time_millis: 4.601, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 4.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.7941, kappa: 0.5344, kb_relative_information_score: 337.3433, mean_absolute_error: 0.2978, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8098, predictive_accuracy: 0.8058, prior_entropy: 0.9312, recall: 0.8058, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7532, scimark_benchmark: 1877.584, usercpu_time_millis: 1.258, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.6336, kappa: 0.206, kb_relative_information_score: 104.1256, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7996, predictive_accuracy: 0.7109, prior_entropy: 0.9312, recall: 0.7109, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9254, scimark_benchmark: 1839.1403, usercpu_time_millis: 2.083, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 1.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.6104, kappa: 0.1628, kb_relative_information_score: 132.7468, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7936, predictive_accuracy: 0.6983, prior_entropy: 0.9312, recall: 0.6983, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8979, scimark_benchmark: 1856.7467, usercpu_time_millis: 3.611, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 3.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7035, kappa: 0.3304, kb_relative_information_score: 209.569, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7055, predictive_accuracy: 0.7171, prior_entropy: 0.9312, recall: 0.7171, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4028, root_relative_squared_error: 0.8464, scimark_benchmark: 1849.7016, usercpu_time_millis: 3.963, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 3.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9349, kappa: 0.8539, kb_relative_information_score: 437.7335, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9402, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6574, scimark_benchmark: 1865.2449, usercpu_time_millis: 5.242, usercpu_time_millis_testing: 0.704, usercpu_time_millis_training: 4.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 692.6995, mean_absolute_error: 0.1533, 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: 0.3385, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4086, scimark_benchmark: 1861.4992, usercpu_time_millis: 5.53, usercpu_time_millis_testing: 0.908, usercpu_time_millis_training: 4.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9769, kappa: 0.9486, kb_relative_information_score: 487.6744, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9776, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.6063, scimark_benchmark: 1857.7844, usercpu_time_millis: 7.534, usercpu_time_millis_testing: 1.257, usercpu_time_millis_training: 6.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9379, kappa: 0.8606, kb_relative_information_score: 650.382, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9446, predictive_accuracy: 0.9395, prior_entropy: 0.9312, recall: 0.9395, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2269, root_relative_squared_error: 0.4768, scimark_benchmark: 1856.7467, usercpu_time_millis: 2.159, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 1.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9543, kappa: 0.8978, kb_relative_information_score: 678.4621, mean_absolute_error: 0.1556, 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: 0.3434, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.4468, scimark_benchmark: 1861.4992, usercpu_time_millis: 2.238, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.5165, kb_relative_information_score: 0.0388, 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: 1864.7283, usercpu_time_millis: 1.271, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.7701, kappa: 0.4813, kb_relative_information_score: 184.7155, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.819, predictive_accuracy: 0.7933, prior_entropy: 0.9312, recall: 0.7933, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8799, scimark_benchmark: 1853.3248, usercpu_time_millis: 1.549, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9599, kappa: 0.9105, kb_relative_information_score: 469.7939, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9615, predictive_accuracy: 0.9603, prior_entropy: 0.9312, recall: 0.9603, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6267, scimark_benchmark: 2116.8999, usercpu_time_millis: 5.642, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 4.832,

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