OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111547 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: 0.4972, f_measure: 0.5165, kb_relative_information_score: -0.7506, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.884, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, f_measure: 0.7011, kappa: 0.3244, kb_relative_information_score: 182.0596, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7222, predictive_accuracy: 0.7276, prior_entropy: 0.9312, recall: 0.7276, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.9018, scimark_benchmark: 1867.6581, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.5284, kappa: 0.0196, kb_relative_information_score: 77.5556, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7758, predictive_accuracy: 0.6587, prior_entropy: 0.9312, recall: 0.6587, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9392, scimark_benchmark: 1754.1645, usercpu_time_millis: 2.69, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 2.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.5165, kb_relative_information_score: 41.7654, mean_absolute_error: 0.4365, 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: 0.9635, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9668, scimark_benchmark: 1871.5747, usercpu_time_millis: 0.434, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5165, kb_relative_information_score: 0.2928, 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: 1870.3532, usercpu_time_millis: 1.546, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 1.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 135.5111, mean_absolute_error: 0.393, 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: 0.8676, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.9199, scimark_benchmark: 1866.3627, usercpu_time_millis: 0.572, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9394, kappa: 0.8643, kb_relative_information_score: 530.2554, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9431, predictive_accuracy: 0.9405, prior_entropy: 0.9312, recall: 0.9405, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2875, root_relative_squared_error: 0.6041, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.252, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9502, kappa: 0.8886, kb_relative_information_score: 462.5213, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.953, predictive_accuracy: 0.9509, prior_entropy: 0.9312, recall: 0.9509, relative_absolute_error: 0.5848, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3023, root_relative_squared_error: 0.6353, scimark_benchmark: 1855.3856, usercpu_time_millis: 2.628, usercpu_time_millis_testing: 0.359, usercpu_time_millis_training: 2.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.6873, kappa: 0.297, kb_relative_information_score: 210.439, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.685, predictive_accuracy: 0.6962, prior_entropy: 0.9312, recall: 0.6962, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.85, scimark_benchmark: 1871.2001, usercpu_time_millis: 1.265, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.5165, kb_relative_information_score: 0.1945, 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: 1863.4543, usercpu_time_millis: 1.547, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 1.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.6893, kappa: 0.2976, kb_relative_information_score: 140.3227, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7064, predictive_accuracy: 0.7161, prior_entropy: 0.9312, recall: 0.7161, relative_absolute_error: 0.8625, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8977, scimark_benchmark: 1874.0573, usercpu_time_millis: 1.472, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 1.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9576, kappa: 0.9051, kb_relative_information_score: 701.896, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9608, predictive_accuracy: 0.9582, prior_entropy: 0.9312, recall: 0.9582, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.4332, scimark_benchmark: 1873.019, usercpu_time_millis: 5.569, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 4.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9608, kappa: 0.9124, kb_relative_information_score: 663.6051, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9635, predictive_accuracy: 0.9614, prior_entropy: 0.9312, recall: 0.9614, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4534, scimark_benchmark: 1951.2151, usercpu_time_millis: 4.149, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 3.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 758.123, mean_absolute_error: 0.1161, 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: 0.2562, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3505, scimark_benchmark: 1822.3184, usercpu_time_millis: 5.44, usercpu_time_millis_testing: 0.641, usercpu_time_millis_training: 4.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, f_measure: 0.7172, kappa: 0.3713, kb_relative_information_score: 206.32, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.822, predictive_accuracy: 0.761, prior_entropy: 0.9312, recall: 0.761, relative_absolute_error: 0.8313, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8458, scimark_benchmark: 1950.1216, usercpu_time_millis: 5.266, usercpu_time_millis_testing: 0.905, usercpu_time_millis_training: 4.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.835, kappa: 0.6266, kb_relative_information_score: 339.4809, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8662, predictive_accuracy: 0.8466, prior_entropy: 0.9312, recall: 0.8466, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7451, scimark_benchmark: 1867.725, usercpu_time_millis: 3.406, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 2.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.6868, kappa: 0.2986, kb_relative_information_score: 166.4354, mean_absolute_error: 0.3772, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6841, predictive_accuracy: 0.6931, prior_entropy: 0.9312, recall: 0.6931, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4206, root_relative_squared_error: 0.8838, scimark_benchmark: 1862.82, usercpu_time_millis: 3.12, usercpu_time_millis_testing: 0.545, usercpu_time_millis_training: 2.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.5165, kb_relative_information_score: -0.6235, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1866.1679, usercpu_time_millis: 0.55, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9885, kappa: 0.9744, kb_relative_information_score: 784.6878, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9887, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3399, scimark_benchmark: 1864.5683, usercpu_time_millis: 3.182, usercpu_time_millis_testing: 0.376, usercpu_time_millis_training: 2.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.7073, kappa: 0.3439, kb_relative_information_score: 138.4571, mean_absolute_error: 0.3928, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.768, predictive_accuracy: 0.7453, prior_entropy: 0.9312, recall: 0.7453, relative_absolute_error: 0.867, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.426, root_relative_squared_error: 0.8953, scimark_benchmark: 1856.0551, usercpu_time_millis: 2.28, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 1.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 769.8523, mean_absolute_error: 0.11, 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: 0.2428, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1585, root_relative_squared_error: 0.333, scimark_benchmark: 1866.242, usercpu_time_millis: 6.336, usercpu_time_millis_testing: 0.787, usercpu_time_millis_training: 5.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.8748, kappa: 0.7169, kb_relative_information_score: 469.9537, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9001, predictive_accuracy: 0.882, prior_entropy: 0.9312, recall: 0.882, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6375, scimark_benchmark: 1863.9794, usercpu_time_millis: 5.108, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 4.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.7494, kappa: 0.4389, kb_relative_information_score: 231.6004, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8347, predictive_accuracy: 0.7829, prior_entropy: 0.9312, recall: 0.7829, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.8261, scimark_benchmark: 1868.2531, usercpu_time_millis: 2.14, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9853, kappa: 0.9674, kb_relative_information_score: 750.1989, mean_absolute_error: 0.1168, 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: 0.2578, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.183, root_relative_squared_error: 0.3845, scimark_benchmark: 1869.2273, usercpu_time_millis: 3.212, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 2.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.6921, kappa: 0.3039, kb_relative_information_score: 155.2901, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7089, predictive_accuracy: 0.7182, prior_entropy: 0.9312, recall: 0.7182, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.8857, scimark_benchmark: 1866.0068, usercpu_time_millis: 2.797, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 2.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9445, kappa: 0.8756, kb_relative_information_score: 623.29, mean_absolute_error: 0.1853, 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: 0.409, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4942, scimark_benchmark: 1869.8223, usercpu_time_millis: 1.239, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 1.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9445, kappa: 0.8756, kb_relative_information_score: 605.9778, mean_absolute_error: 0.1954, 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: 0.4313, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.5073, scimark_benchmark: 1870.3532, usercpu_time_millis: 4.348, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 3.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.8914, kappa: 0.7547, kb_relative_information_score: 493.89, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9108, predictive_accuracy: 0.8967, prior_entropy: 0.9312, recall: 0.8967, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.6104, scimark_benchmark: 1847.9181, usercpu_time_millis: 4.349, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 3.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, f_measure: 0.5165, kb_relative_information_score: -0.4047, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1869.2942, usercpu_time_millis: 0.308, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.5165, kb_relative_information_score: 54.4294, mean_absolute_error: 0.4314, 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: 0.456, root_relative_squared_error: 0.9581, scimark_benchmark: 1863.7397, usercpu_time_millis: 0.78, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.5165, kb_relative_information_score: 0.07, 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: 1859.1356, usercpu_time_millis: 0.831, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 112.2923, mean_absolute_error: 0.404, 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: 0.8917, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9317, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.768, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.5165, kb_relative_information_score: 28.9495, mean_absolute_error: 0.4419, 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: 0.9754, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9768, scimark_benchmark: 1853.454, usercpu_time_millis: 0.878, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7823, kappa: 0.5089, kb_relative_information_score: 199.8252, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8375, predictive_accuracy: 0.8048, prior_entropy: 0.9312, recall: 0.8048, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8595, scimark_benchmark: 1874.0573, usercpu_time_millis: 0.625, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.5165, kb_relative_information_score: -0.1908, 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: 1854.8318, usercpu_time_millis: 1.363, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 1.176,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.7488, kappa: 0.4379, kb_relative_information_score: 248.6646, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.837, predictive_accuracy: 0.7829, prior_entropy: 0.9312, recall: 0.7829, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3857, root_relative_squared_error: 0.8106, scimark_benchmark: 1870.3532, usercpu_time_millis: 6.116, usercpu_time_millis_testing: 0.991, usercpu_time_millis_training: 5.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7182, kappa: 0.3625, kb_relative_information_score: 177.1349, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7359, predictive_accuracy: 0.7401, prior_entropy: 0.9312, recall: 0.7401, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8708, scimark_benchmark: 1859.8888, usercpu_time_millis: 2.209, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 1.861,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8546, kappa: 0.6711, kb_relative_information_score: 375.9429, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8854, predictive_accuracy: 0.8643, prior_entropy: 0.9312, recall: 0.8643, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.7175, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.893, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.79,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 762.6659, mean_absolute_error: 0.1139, 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: 0.2515, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3409, scimark_benchmark: 1862.0956, usercpu_time_millis: 7.277, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 6.228,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8405, kappa: 0.639, kb_relative_information_score: 346.9293, mean_absolute_error: 0.313, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8732, predictive_accuracy: 0.8518, prior_entropy: 0.9312, recall: 0.8518, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7401, scimark_benchmark: 1874.977, usercpu_time_millis: 4.682, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 4.016,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9768, kappa: 0.9485, kb_relative_information_score: 600.3297, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9778, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.5202, scimark_benchmark: 1867.6581, usercpu_time_millis: 5.637, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 4.879,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.6746, kappa: 0.2644, kb_relative_information_score: 103.2412, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.676, predictive_accuracy: 0.6921, prior_entropy: 0.9312, recall: 0.6921, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.932, scimark_benchmark: 1821.3322, usercpu_time_millis: 1.973, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 1.639,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5165, kb_relative_information_score: -0.1902, 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: 1843.3334, usercpu_time_millis: 1.215, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 1.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9843, kappa: 0.9651, kb_relative_information_score: 538.4637, mean_absolute_error: 0.2279, 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: 0.5032, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.5705, scimark_benchmark: 1866.7625, usercpu_time_millis: 0.999, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9223, kappa: 0.8252, kb_relative_information_score: 621.0075, mean_absolute_error: 0.184, 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: 0.4062, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.24, root_relative_squared_error: 0.5044, scimark_benchmark: 1872.4881, usercpu_time_millis: 5.343, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 4.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9758, kappa: 0.9461, kb_relative_information_score: 647.003, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9768, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.233, root_relative_squared_error: 0.4896, scimark_benchmark: 1850.8706, usercpu_time_millis: 5.322, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 4.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8464, kappa: 0.6525, kb_relative_information_score: 377.1854, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8781, predictive_accuracy: 0.857, prior_entropy: 0.9312, recall: 0.857, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.7139, scimark_benchmark: 1875.6591, usercpu_time_millis: 1.325, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 775.0669, mean_absolute_error: 0.1073, 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: 0.2368, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.325, scimark_benchmark: 1873.5991, usercpu_time_millis: 3.448, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 3.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.7359, kappa: 0.4028, kb_relative_information_score: 176.0994, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7605, predictive_accuracy: 0.7578, prior_entropy: 0.9312, recall: 0.7578, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4237, root_relative_squared_error: 0.8904, scimark_benchmark: 1874.977, usercpu_time_millis: 1.957, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 1.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 779.4299, mean_absolute_error: 0.1041, 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: 0.2299, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3263, scimark_benchmark: 1873.5991, usercpu_time_millis: 4.095, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 3.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9705, kappa: 0.9344, kb_relative_information_score: 497.5256, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9714, predictive_accuracy: 0.9708, prior_entropy: 0.9312, recall: 0.9708, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.6047, scimark_benchmark: 1872.0299, usercpu_time_millis: 1.867, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 1.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.7764, kappa: 0.4972, kb_relative_information_score: 274.4434, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8485, predictive_accuracy: 0.8027, prior_entropy: 0.9312, recall: 0.8027, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7898, scimark_benchmark: 1874.0573, usercpu_time_millis: 4.099, usercpu_time_millis_testing: 0.679, usercpu_time_millis_training: 3.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.8949, kappa: 0.7626, kb_relative_information_score: 535.3074, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9131, predictive_accuracy: 0.8998, prior_entropy: 0.9312, recall: 0.8998, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.5788, scimark_benchmark: 1753.0166, usercpu_time_millis: 2.3, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 2.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.5165, kb_relative_information_score: 52.734, mean_absolute_error: 0.4328, 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: 0.9554, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9605, scimark_benchmark: 1865.3572, usercpu_time_millis: 0.549, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9543, kappa: 0.8978, kb_relative_information_score: 663.2845, mean_absolute_error: 0.1649, 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: 0.3639, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4563, scimark_benchmark: 1867.725, usercpu_time_millis: 6.242, usercpu_time_millis_testing: 0.815, usercpu_time_millis_training: 5.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.6991, kappa: 0.3372, kb_relative_information_score: 121.6256, mean_absolute_error: 0.3994, 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: 0.8817, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9196, scimark_benchmark: 1840.2973, usercpu_time_millis: 2.555, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 2.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 754.0991, mean_absolute_error: 0.1172, 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: 0.2588, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3605, scimark_benchmark: 1871.2001, usercpu_time_millis: 0.649, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8053, kappa: 0.5606, kb_relative_information_score: 343.0552, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8617, predictive_accuracy: 0.8246, prior_entropy: 0.9312, recall: 0.8246, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7551, scimark_benchmark: 1869.8223, usercpu_time_millis: 3.304, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 2.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9555, kappa: 0.9007, kb_relative_information_score: 450.9464, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.958, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6404, scimark_benchmark: 1872.0299, usercpu_time_millis: 3.561, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 3.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.6733, kappa: 0.2614, kb_relative_information_score: 103.3583, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6747, predictive_accuracy: 0.691, prior_entropy: 0.9312, recall: 0.691, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4434, root_relative_squared_error: 0.9318, scimark_benchmark: 1873.5293, usercpu_time_millis: 2.269, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 1.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.8782, kappa: 0.7249, kb_relative_information_score: 387.1728, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8964, predictive_accuracy: 0.8841, prior_entropy: 0.9312, recall: 0.8841, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.6992, scimark_benchmark: 1871.5019, usercpu_time_millis: 5.067, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 4.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.5776, kappa: 0.1037, kb_relative_information_score: 95.4537, mean_absolute_error: 0.4169, 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: 0.9204, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9309, scimark_benchmark: 1872.4881, usercpu_time_millis: 2.809, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 2.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9216, kappa: 0.825, kb_relative_information_score: 696.1806, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9235, predictive_accuracy: 0.9228, prior_entropy: 0.9312, recall: 0.9228, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.4906, scimark_benchmark: 1863.9794, usercpu_time_millis: 3.777, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 3.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.7488, kappa: 0.4379, kb_relative_information_score: 242.9994, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.837, predictive_accuracy: 0.7829, prior_entropy: 0.9312, recall: 0.7829, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.8163, scimark_benchmark: 1874.0573, usercpu_time_millis: 6.071, usercpu_time_millis_testing: 1.028, usercpu_time_millis_training: 5.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9053, kappa: 0.7863, kb_relative_information_score: 558.0689, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9203, predictive_accuracy: 0.9092, prior_entropy: 0.9312, recall: 0.9092, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5588, scimark_benchmark: 1866.6076, usercpu_time_millis: 4.152, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 3.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7026, kappa: 0.3436, kb_relative_information_score: 129.1021, mean_absolute_error: 0.3962, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7027, predictive_accuracy: 0.7025, prior_entropy: 0.9312, recall: 0.7025, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.9229, scimark_benchmark: 1872.1069, usercpu_time_millis: 0.392, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.5165, kb_relative_information_score: -2.1497, mean_absolute_error: 0.4534, 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: 1.0009, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1870.2804, usercpu_time_millis: 0.442, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 751.0287, mean_absolute_error: 0.1197, 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: 0.2643, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3609, scimark_benchmark: 1874.0649, usercpu_time_millis: 4.829, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 4.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.5165, kb_relative_information_score: 62.471, mean_absolute_error: 0.422, 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: 0.9315, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9564, scimark_benchmark: 1871.9601, usercpu_time_millis: 1.343, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 1.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 523.5488, mean_absolute_error: 0.2404, 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: 0.5307, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5718, scimark_benchmark: 1846.1643, usercpu_time_millis: 9.065, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 7.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9301, kappa: 0.843, kb_relative_information_score: 611.877, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9385, predictive_accuracy: 0.9322, prior_entropy: 0.9312, recall: 0.9322, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.5055, scimark_benchmark: 1873.5991, usercpu_time_millis: 5.776, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 4.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9532, kappa: 0.8953, kb_relative_information_score: 689.639, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9571, predictive_accuracy: 0.9541, prior_entropy: 0.9312, recall: 0.9541, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.4452, scimark_benchmark: 1853.9121, usercpu_time_millis: 5.845, usercpu_time_millis_testing: 0.78, usercpu_time_millis_training: 5.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.5165, kb_relative_information_score: 1.2394, mean_absolute_error: 0.4523, 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: 0.9985, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0001, scimark_benchmark: 1869.8223, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9833, kappa: 0.963, kb_relative_information_score: 853.3756, mean_absolute_error: 0.0573, 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: 0.1265, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.2783, scimark_benchmark: 1872.0299, usercpu_time_millis: 6.586, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 5.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 581.2646, mean_absolute_error: 0.2112, 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: 0.4663, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5198, scimark_benchmark: 1872.4881, usercpu_time_millis: 5.148, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 4.36,

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