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: 0.8335, f_measure: 0.7112, kappa: 0.3482, kb_relative_information_score: 231.2729, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7127, predictive_accuracy: 0.7234, prior_entropy: 0.9312, recall: 0.7234, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8352, scimark_benchmark: 1867.5457, usercpu_time_millis: 0.386, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.7631, kappa: 0.4675, kb_relative_information_score: 168.05, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8316, predictive_accuracy: 0.7912, prior_entropy: 0.9312, recall: 0.7912, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8849, scimark_benchmark: 1867.725, usercpu_time_millis: 1.844, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 1.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9821, kappa: 0.9603, kb_relative_information_score: 770.2835, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9827, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3654, scimark_benchmark: 1871.5019, usercpu_time_millis: 5.169, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 4.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.6987, kappa: 0.3338, kb_relative_information_score: 171.3292, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8189, predictive_accuracy: 0.7495, prior_entropy: 0.9312, recall: 0.7495, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8725, scimark_benchmark: 1846.4401, usercpu_time_millis: 1.706, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.6964, kappa: 0.3147, kb_relative_information_score: 114.0541, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6973, predictive_accuracy: 0.7098, prior_entropy: 0.9312, recall: 0.7098, relative_absolute_error: 0.8884, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9314, scimark_benchmark: 1861.4992, usercpu_time_millis: 0.623, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7115, kappa: 0.3472, kb_relative_information_score: 199.6305, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7258, predictive_accuracy: 0.7328, prior_entropy: 0.9312, recall: 0.7328, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8514, scimark_benchmark: 1873.0711, usercpu_time_millis: 2.85, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 2.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 655.3399, mean_absolute_error: 0.1687, 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: 0.3723, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.4711, scimark_benchmark: 1859.035, usercpu_time_millis: 6.717, usercpu_time_millis_testing: 0.935, usercpu_time_millis_training: 5.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9445, kappa: 0.8756, kb_relative_information_score: 567.964, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9499, predictive_accuracy: 0.9457, prior_entropy: 0.9312, recall: 0.9457, relative_absolute_error: 0.4748, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.539, scimark_benchmark: 1867.725, usercpu_time_millis: 12.779, usercpu_time_millis_testing: 1.787, usercpu_time_millis_training: 10.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9843, kappa: 0.9651, kb_relative_information_score: 639.2641, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9847, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.3979, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4667, scimark_benchmark: 1873.5293, usercpu_time_millis: 9.767, usercpu_time_millis_testing: 1.435, usercpu_time_millis_training: 8.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 821.898, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.2854, scimark_benchmark: 1871.6422, usercpu_time_millis: 10.292, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 8.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.6987, kappa: 0.3217, kb_relative_information_score: 173.4625, mean_absolute_error: 0.379, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7382, predictive_accuracy: 0.7328, prior_entropy: 0.9312, recall: 0.7328, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8741, scimark_benchmark: 1846.6923, usercpu_time_millis: 0.38, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.7003, kappa: 0.3236, kb_relative_information_score: 240.1757, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.701, predictive_accuracy: 0.7129, prior_entropy: 0.9312, recall: 0.7129, relative_absolute_error: 0.7492, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.8281, scimark_benchmark: 1875.8384, usercpu_time_millis: 0.459, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.8253, kappa: 0.6048, kb_relative_information_score: 294.8585, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8643, predictive_accuracy: 0.8392, prior_entropy: 0.9312, recall: 0.8392, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7759, scimark_benchmark: 1855.4813, usercpu_time_millis: 0.673, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.709, kappa: 0.3422, kb_relative_information_score: 204.7271, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7137, predictive_accuracy: 0.7244, prior_entropy: 0.9312, recall: 0.7244, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8499, scimark_benchmark: 1862.82, usercpu_time_millis: 1.015, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.6631, kappa: 0.2605, kb_relative_information_score: 124.2688, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7899, predictive_accuracy: 0.7255, prior_entropy: 0.9312, recall: 0.7255, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9033, scimark_benchmark: 1862.1704, usercpu_time_millis: 1.011, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2109, 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: 1858.0974, usercpu_time_millis: 1.255, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 0.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.6077, kappa: 0.157, kb_relative_information_score: 103.0531, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7848, predictive_accuracy: 0.6962, prior_entropy: 0.9312, recall: 0.6962, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9198, scimark_benchmark: 1869.1727, usercpu_time_millis: 1.163, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.5165, kb_relative_information_score: -0.3027, 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: 1868.0738, usercpu_time_millis: 1.635, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.6808, kappa: 0.278, kb_relative_information_score: 98.2659, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6842, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9383, scimark_benchmark: 1870.2804, usercpu_time_millis: 1.698, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 1.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.5165, kb_relative_information_score: 36.9264, mean_absolute_error: 0.4394, 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: 0.9699, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9722, scimark_benchmark: 1868.784, usercpu_time_millis: 1.779, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 655.734, mean_absolute_error: 0.1709, 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: 0.3774, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4585, scimark_benchmark: 1870.2804, usercpu_time_millis: 2.477, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 2.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.6785, kappa: 0.2779, kb_relative_information_score: 160.0087, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6757, predictive_accuracy: 0.6868, prior_entropy: 0.9312, recall: 0.6868, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8877, scimark_benchmark: 1865.7643, usercpu_time_millis: 0.532, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5165, kb_relative_information_score: -0.1888, 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: 1859.035, usercpu_time_millis: 0.492, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7776, kappa: 0.4984, kb_relative_information_score: 217.0991, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8315, predictive_accuracy: 0.8006, prior_entropy: 0.9312, recall: 0.8006, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4081, root_relative_squared_error: 0.8576, scimark_benchmark: 1854.2319, usercpu_time_millis: 0.312, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.7637, kappa: 0.4674, kb_relative_information_score: 335.6429, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7672, predictive_accuracy: 0.7724, prior_entropy: 0.9312, recall: 0.7724, relative_absolute_error: 0.6513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7613, scimark_benchmark: 1868.634, usercpu_time_millis: 1.223, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.5165, kb_relative_information_score: 62.0576, mean_absolute_error: 0.4228, 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: 0.9334, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9553, scimark_benchmark: 1860.9826, usercpu_time_millis: 1.967, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 1.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7354, kappa: 0.4018, kb_relative_information_score: 234.4242, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7611, predictive_accuracy: 0.7578, prior_entropy: 0.9312, recall: 0.7578, relative_absolute_error: 0.7698, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8238, scimark_benchmark: 1857.5506, usercpu_time_millis: 3.316, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 2.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8945, kappa: 0.7621, kb_relative_information_score: 395.139, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9079, predictive_accuracy: 0.8987, prior_entropy: 0.9312, recall: 0.8987, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6945, scimark_benchmark: 1854.6858, usercpu_time_millis: 3.983, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 3.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9674, kappa: 0.9275, kb_relative_information_score: 529.5434, mean_absolute_error: 0.2319, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9682, predictive_accuracy: 0.9676, prior_entropy: 0.9312, recall: 0.9676, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5803, scimark_benchmark: 1848.6702, usercpu_time_millis: 0.667, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.6148, kappa: 0.1694, kb_relative_information_score: 94.6454, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7802, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9321, scimark_benchmark: 1857.0396, usercpu_time_millis: 0.903, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.979, kappa: 0.9532, kb_relative_information_score: 631.8065, mean_absolute_error: 0.1806, 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: 0.3986, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.4915, scimark_benchmark: 1848.1768, usercpu_time_millis: 6.913, usercpu_time_millis_testing: 1.079, usercpu_time_millis_training: 5.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 780.7266, mean_absolute_error: 0.1021, 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: 0.2253, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3384, scimark_benchmark: 1842.8155, usercpu_time_millis: 7.198, usercpu_time_millis_testing: 1.025, usercpu_time_millis_training: 6.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.5754, kappa: 0.0999, kb_relative_information_score: 85.9997, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7855, predictive_accuracy: 0.6806, prior_entropy: 0.9312, recall: 0.6806, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.9375, scimark_benchmark: 1867.6581, usercpu_time_millis: 1.555, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 1.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8533, kappa: 0.6681, kb_relative_information_score: 379.3966, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8789, predictive_accuracy: 0.8622, prior_entropy: 0.9312, recall: 0.8622, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.7088, scimark_benchmark: 1851.0585, usercpu_time_millis: 4.678, usercpu_time_millis_testing: 0.816, usercpu_time_millis_training: 3.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.5165, kb_relative_information_score: 54.5545, mean_absolute_error: 0.4313, 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: 0.9522, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9578, scimark_benchmark: 1845.4779, usercpu_time_millis: 0.863, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.76,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8617, kappa: 0.6874, kb_relative_information_score: 385.2334, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8844, predictive_accuracy: 0.8695, prior_entropy: 0.9312, recall: 0.8695, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.7011, scimark_benchmark: 1847.4649, usercpu_time_millis: 5.657, usercpu_time_millis_testing: 1.001, usercpu_time_millis_training: 4.656,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9424, kappa: 0.8708, kb_relative_information_score: 586.5928, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9477, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.5219, scimark_benchmark: 1863.4543, usercpu_time_millis: 0.73, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8667, kappa: 0.6988, kb_relative_information_score: 393.5399, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8868, predictive_accuracy: 0.8737, prior_entropy: 0.9312, recall: 0.8737, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.6995, scimark_benchmark: 1873.1439, usercpu_time_millis: 4.829, usercpu_time_millis_testing: 0.655, usercpu_time_millis_training: 4.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9478, kappa: 0.883, kb_relative_information_score: 671.3262, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9526, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4573, scimark_benchmark: 1840.3081, usercpu_time_millis: 10.693, usercpu_time_millis_testing: 1.699, usercpu_time_millis_training: 8.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.8394, kappa: 0.6368, kb_relative_information_score: 355.637, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8779, predictive_accuracy: 0.8518, prior_entropy: 0.9312, recall: 0.8518, relative_absolute_error: 0.6791, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7377, scimark_benchmark: 1852.4008, usercpu_time_millis: 1.438, usercpu_time_millis_testing: 0.192, usercpu_time_millis_training: 1.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.7346, kappa: 0.4053, kb_relative_information_score: 206.6118, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8087, predictive_accuracy: 0.7693, prior_entropy: 0.9312, recall: 0.7693, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8414, scimark_benchmark: 1857.4936, usercpu_time_millis: 2.077, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 1.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.5165, kb_relative_information_score: 58.4459, mean_absolute_error: 0.4287, 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: 0.9463, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9549, scimark_benchmark: 1855.0124, usercpu_time_millis: 0.963, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7146, kappa: 0.3597, kb_relative_information_score: 196.9738, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7129, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9125, usercpu_time_millis: 0.636, usercpu_time_millis_testing: 0.147, usercpu_time_millis_training: 0.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9154, kappa: 0.8132, kb_relative_information_score: 719.4832, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9154, predictive_accuracy: 0.9154, prior_entropy: 0.9312, recall: 0.9154, relative_absolute_error: 0.2538, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.516, usercpu_time_millis: 0.608, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.7144, kappa: 0.3542, kb_relative_information_score: 177.6564, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7212, predictive_accuracy: 0.7307, prior_entropy: 0.9312, recall: 0.7307, relative_absolute_error: 0.8284, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.9115, usercpu_time_millis: 0.587, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9375, kappa: 0.8621, kb_relative_information_score: 804.3337, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9376, predictive_accuracy: 0.9374, prior_entropy: 0.9312, recall: 0.9374, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4519, usercpu_time_millis: 0.587, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7146, kappa: 0.3597, kb_relative_information_score: 196.9738, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7129, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9125, usercpu_time_millis: 0.597, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9385, kappa: 0.8643, kb_relative_information_score: 804.8105, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9386, predictive_accuracy: 0.9384, prior_entropy: 0.9312, recall: 0.9384, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.4502, usercpu_time_millis: 0.622, usercpu_time_millis_testing: 0.142, usercpu_time_millis_training: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8621, f_measure: 0.8417, kappa: 0.6418, kb_relative_information_score: 515.5003, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8682, predictive_accuracy: 0.8518, prior_entropy: 0.9312, recall: 0.8518, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7045, usercpu_time_millis: 0.605, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, 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: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411, usercpu_time_millis: 0.603, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, 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: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411, usercpu_time_millis: 0.729, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9135, kappa: 0.8091, kb_relative_information_score: 720.6119, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9136, predictive_accuracy: 0.9134, prior_entropy: 0.9312, recall: 0.9134, relative_absolute_error: 0.2519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153, usercpu_time_millis: 0.6, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7064, kappa: 0.3374, kb_relative_information_score: 178.6374, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.708, predictive_accuracy: 0.7192, prior_entropy: 0.9312, recall: 0.7192, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9185, usercpu_time_millis: 0.58, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.8551, kappa: 0.6721, kb_relative_information_score: 332.1514, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8833, predictive_accuracy: 0.8643, prior_entropy: 0.9312, recall: 0.8643, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7417, usercpu_time_millis: 4.001, usercpu_time_millis_testing: 1.321, usercpu_time_millis_training: 2.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7279, f_measure: 0.7557, kappa: 0.4482, kb_relative_information_score: 306.7389, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.794, predictive_accuracy: 0.7787, prior_entropy: 0.9312, recall: 0.7787, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8422, usercpu_time_millis: 0.576, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.9038, kappa: 0.7843, kb_relative_information_score: 684.4982, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9084, predictive_accuracy: 0.9061, prior_entropy: 0.9312, recall: 0.9061, relative_absolute_error: 0.2879, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5435, usercpu_time_millis: 0.726, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9189, kappa: 0.8196, kb_relative_information_score: 721.2691, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9194, predictive_accuracy: 0.9196, prior_entropy: 0.9312, recall: 0.9196, relative_absolute_error: 0.2535, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.5116, usercpu_time_millis: 0.598, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9297, kappa: 0.8441, kb_relative_information_score: 755.5438, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9298, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4846, usercpu_time_millis: 0.606, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9275, kappa: 0.839, kb_relative_information_score: 753.2515, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9277, predictive_accuracy: 0.928, prior_entropy: 0.9312, recall: 0.928, relative_absolute_error: 0.2195, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.4895, usercpu_time_millis: 0.604, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, 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: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411, usercpu_time_millis: 0.586, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 0.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.5797, kappa: 0.1074, kb_relative_information_score: 141.7873, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7864, predictive_accuracy: 0.6827, prior_entropy: 0.9312, recall: 0.6827, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8931, usercpu_time_millis: 2.117, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 1.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9237, kappa: 0.8285, kb_relative_information_score: 449.2983, mean_absolute_error: 0.2752, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9318, predictive_accuracy: 0.9259, prior_entropy: 0.9312, recall: 0.9259, relative_absolute_error: 0.6074, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6404, usercpu_time_millis: 4.068, usercpu_time_millis_testing: 1.353, usercpu_time_millis_training: 2.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9843, kappa: 0.9651, kb_relative_information_score: 562.8354, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9847, predictive_accuracy: 0.9843, prior_entropy: 0.9312, recall: 0.9843, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.5356, usercpu_time_millis: 4.289, usercpu_time_millis_testing: 1.212, usercpu_time_millis_training: 3.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 603.164, mean_absolute_error: 0.2009, 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: 0.4436, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.4963, usercpu_time_millis: 3.896, usercpu_time_millis_testing: 0.976, usercpu_time_millis_training: 2.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9874, kappa: 0.9722, kb_relative_information_score: 821.7379, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9876, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.2938, usercpu_time_millis: 9.418, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 9.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.936, kappa: 0.8579, kb_relative_information_score: 734.1159, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9361, predictive_accuracy: 0.9363, prior_entropy: 0.9312, recall: 0.9363, relative_absolute_error: 0.2551, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4432, usercpu_time_millis: 9.355, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 8.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9298, kappa: 0.8444, kb_relative_information_score: 707.246, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9298, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4905, usercpu_time_millis: 9.52, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 8.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 828.8405, mean_absolute_error: 0.0748, 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: 0.1651, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.2846, usercpu_time_millis: 8.314, usercpu_time_millis_testing: 0.499, usercpu_time_millis_training: 7.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9435, kappa: 0.8748, kb_relative_information_score: 753.0024, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9434, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4271, usercpu_time_millis: 9.549, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 8.618,

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