Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 145804 Supervised Classification tic-tac-toe 270274 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.5625, kappa: 0.0773, kb_relative_information_score: 76.7979, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7827, predictive_accuracy: 0.6743, prior_entropy: 0.9312, recall: 0.6743, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9419, scimark_benchmark: 1311.2427, usercpu_time_millis: 22.396, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 22.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.7752, kappa: 0.4926, kb_relative_information_score: 248.6834, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8236, predictive_accuracy: 0.7975, prior_entropy: 0.9312, recall: 0.7975, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.388, root_relative_squared_error: 0.8154, scimark_benchmark: 1308.4694, usercpu_time_millis: 81.908, usercpu_time_millis_testing: 1.012, usercpu_time_millis_training: 80.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.8019, kappa: 0.5519, kb_relative_information_score: 310.4646, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.83, predictive_accuracy: 0.8163, prior_entropy: 0.9312, recall: 0.8163, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7741, scimark_benchmark: 1308.3975, usercpu_time_millis: 38.351, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 38.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.61, kappa: 0.1477, kb_relative_information_score: 89.2975, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6973, predictive_accuracy: 0.6858, prior_entropy: 0.9312, recall: 0.6858, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9392, scimark_benchmark: 1289.0056, usercpu_time_millis: 6.004, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 5.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7149, kappa: 0.3588, kb_relative_information_score: 158.2239, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7646, predictive_accuracy: 0.7484, prior_entropy: 0.9312, recall: 0.7484, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8905, scimark_benchmark: 1287.2687, usercpu_time_millis: 25.496, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 25.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 695.6534, mean_absolute_error: 0.152, 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: 0.3356, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.4081, scimark_benchmark: 1307.7718, usercpu_time_millis: 20.146, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 20.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.5777, kappa: 0.1011, kb_relative_information_score: 88.5379, mean_absolute_error: 0.4165, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7522, predictive_accuracy: 0.6795, prior_entropy: 0.9312, recall: 0.6795, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9388, scimark_benchmark: 1305.4139, usercpu_time_millis: 69.037, usercpu_time_millis_testing: 0.442, usercpu_time_millis_training: 68.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9175, kappa: 0.8148, kb_relative_information_score: 502.2393, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9237, predictive_accuracy: 0.9196, prior_entropy: 0.9312, recall: 0.9196, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.6062, scimark_benchmark: 1266.707, usercpu_time_millis: 2.838, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 2.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7137, kappa: 0.3522, kb_relative_information_score: 210.1724, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.723, predictive_accuracy: 0.7317, prior_entropy: 0.9312, recall: 0.7317, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8645, scimark_benchmark: 1309.0329, usercpu_time_millis: 56.227, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 56.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9674, kappa: 0.9277, kb_relative_information_score: 616.9206, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9679, predictive_accuracy: 0.9676, prior_entropy: 0.9312, recall: 0.9676, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.4949, scimark_benchmark: 1300.9016, usercpu_time_millis: 185.549, usercpu_time_millis_testing: 1.347, usercpu_time_millis_training: 184.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.7236, kappa: 0.3745, kb_relative_information_score: 221.8178, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7363, predictive_accuracy: 0.7422, prior_entropy: 0.9312, recall: 0.7422, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8564, scimark_benchmark: 1285.8341, usercpu_time_millis: 35.335, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 35.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9417, kappa: 0.8698, kb_relative_information_score: 567.2328, mean_absolute_error: 0.2114, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9441, predictive_accuracy: 0.9426, prior_entropy: 0.9312, recall: 0.9426, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5484, scimark_benchmark: 1309.1889, usercpu_time_millis: 18.479, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 18.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.977, kappa: 0.949, kb_relative_information_score: 723.4062, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9771, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.39, scimark_benchmark: 1293.6421, usercpu_time_millis: 45.757, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 45.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2143, 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: 1306.8359, usercpu_time_millis: 51.468, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 51.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 891.9927, mean_absolute_error: 0.0347, 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: 0.0766, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1222, root_relative_squared_error: 0.2568, scimark_benchmark: 1297.4778, usercpu_time_millis: 57.076, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 57.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, f_measure: 0.7268, kappa: 0.3819, kb_relative_information_score: 231.7186, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7446, predictive_accuracy: 0.7474, prior_entropy: 0.9312, recall: 0.7474, relative_absolute_error: 0.7717, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8496, scimark_benchmark: 1294.6202, usercpu_time_millis: 8.324, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 8.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.5165, kb_relative_information_score: -61.7438, mean_absolute_error: 0.4681, 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: 1.0333, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9936, scimark_benchmark: 1286.9415, usercpu_time_millis: 59.278, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 58.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8531, kappa: 0.6682, kb_relative_information_score: 401.9017, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8686, predictive_accuracy: 0.8601, prior_entropy: 0.9312, recall: 0.8601, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.7007, scimark_benchmark: 1314.2679, usercpu_time_millis: 103.315, usercpu_time_millis_testing: 0.945, usercpu_time_millis_training: 102.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 796.9302, mean_absolute_error: 0.0947, 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: 0.2091, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.2967, scimark_benchmark: 1308.5924, usercpu_time_millis: 37.768, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 37.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 747.3426, mean_absolute_error: 0.124, 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: 0.2737, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.3544, scimark_benchmark: 1307.0958, usercpu_time_millis: 45.943, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 45.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.5165, kb_relative_information_score: 44.7811, mean_absolute_error: 0.4317, 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: 0.9529, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9617, scimark_benchmark: 1288.6099, usercpu_time_millis: 34.355, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 34.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7289, kappa: 0.3867, kb_relative_information_score: 227.695, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7428, predictive_accuracy: 0.7474, prior_entropy: 0.9312, recall: 0.7474, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8511, scimark_benchmark: 1308.9873, usercpu_time_millis: 63.745, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 63.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.5165, kb_relative_information_score: -1.5039, 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: 1.0008, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9999, scimark_benchmark: 1304.2647, usercpu_time_millis: 67.681, usercpu_time_millis_testing: 0.396, usercpu_time_millis_training: 67.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8349, kappa: 0.6268, kb_relative_information_score: 360.3566, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8514, predictive_accuracy: 0.8434, prior_entropy: 0.9312, recall: 0.8434, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7389, scimark_benchmark: 1295.7149, usercpu_time_millis: 22.056, usercpu_time_millis_testing: 0.146, usercpu_time_millis_training: 21.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8771, kappa: 0.7236, kb_relative_information_score: 432.7291, mean_absolute_error: 0.2688, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8845, predictive_accuracy: 0.881, prior_entropy: 0.9312, recall: 0.881, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6775, scimark_benchmark: 1307.7711, usercpu_time_millis: 32.547, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 32.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.5165, kb_relative_information_score: 71.3655, mean_absolute_error: 0.4242, 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: 0.9364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4507, root_relative_squared_error: 0.9471, scimark_benchmark: 1291.9019, usercpu_time_millis: 72.848, usercpu_time_millis_testing: 0.548, usercpu_time_millis_training: 72.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.6929, kappa: 0.3145, kb_relative_information_score: 126.2677, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7646, predictive_accuracy: 0.737, prior_entropy: 0.9312, recall: 0.737, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.433, root_relative_squared_error: 0.91, scimark_benchmark: 1291.7651, usercpu_time_millis: 8.023, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 7.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2135, 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: 1306.3567, usercpu_time_millis: 41.291, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 41.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: 0.2143, 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: 1303.3407, usercpu_time_millis: 43.208, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 43.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 858.5642, mean_absolute_error: 0.0589, 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: 0.1301, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.2246, scimark_benchmark: 1300.5543, usercpu_time_millis: 73.392, usercpu_time_millis_testing: 0.487, usercpu_time_millis_training: 72.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7529, kappa: 0.4424, kb_relative_information_score: 209.4557, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7962, predictive_accuracy: 0.7777, prior_entropy: 0.9312, recall: 0.7777, relative_absolute_error: 0.8037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8525, scimark_benchmark: 1295.952, usercpu_time_millis: 49.866, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 49.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5401, f_measure: 0.5165, kb_relative_information_score: 1.8616, mean_absolute_error: 0.4521, 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: 0.998, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9988, scimark_benchmark: 1279.0149, usercpu_time_millis: 20.303, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 20.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.7328, kappa: 0.3967, kb_relative_information_score: 206.6866, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7375, predictive_accuracy: 0.7453, prior_entropy: 0.9312, recall: 0.7453, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8672, scimark_benchmark: 1270.9262, usercpu_time_millis: 23.308, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 23.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 708.0901, mean_absolute_error: 0.1454, 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: 0.3211, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3947, scimark_benchmark: 1305.7532, usercpu_time_millis: 66.785, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 66.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1784, kb_relative_information_score: -166.5388, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.1201, predictive_accuracy: 0.3466, prior_entropy: 0.9312, recall: 0.3466, relative_absolute_error: 1.1037, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0507, scimark_benchmark: 1285.1181, usercpu_time_millis: 58.432, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 58.085,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.7131, kappa: 0.3546, kb_relative_information_score: 150.2304, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7603, predictive_accuracy: 0.7463, prior_entropy: 0.9312, recall: 0.7463, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8968, scimark_benchmark: 1306.6073, usercpu_time_millis: 71.171, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 71.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9706, kappa: 0.9346, kb_relative_information_score: 590.0033, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9711, predictive_accuracy: 0.9708, prior_entropy: 0.9312, recall: 0.9708, relative_absolute_error: 0.4488, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.5208, scimark_benchmark: 1304.8805, usercpu_time_millis: 10.895, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 10.806,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9273, kappa: 0.8371, kb_relative_information_score: 528.9708, mean_absolute_error: 0.2345, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9327, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5795, scimark_benchmark: 1301.6916, usercpu_time_millis: 21.438, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 21.425,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 827.7159, mean_absolute_error: 0.0763, 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: 0.1684, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.2852, scimark_benchmark: 1290.4511, usercpu_time_millis: 67.713, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 67.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -131.7287, mean_absolute_error: 0.4887, 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: 1.0788, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0296, scimark_benchmark: 1304.824, usercpu_time_millis: 0.524, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.509,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 879.8445, mean_absolute_error: 0.0429, 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: 0.0948, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.2579, scimark_benchmark: 1305.517, usercpu_time_millis: 47.181, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 47.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.7038, kappa: 0.3299, kb_relative_information_score: 162.3383, mean_absolute_error: 0.3831, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7165, predictive_accuracy: 0.7255, prior_entropy: 0.9312, recall: 0.7255, relative_absolute_error: 0.8457, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8941, scimark_benchmark: 1299.5903, usercpu_time_millis: 18.563, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 18.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9441, kappa: 0.8778, kb_relative_information_score: 747.8643, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.946, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.237, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.4663, scimark_benchmark: 1313.0492, usercpu_time_millis: 3.099, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 3.014,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9442, kappa: 0.8781, kb_relative_information_score: 751.9756, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9466, predictive_accuracy: 0.9436, prior_entropy: 0.9312, recall: 0.9436, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4642, scimark_benchmark: 1311.6699, usercpu_time_millis: 3.183, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 3.098,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9545, kappa: 0.9006, kb_relative_information_score: 784.9655, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9566, predictive_accuracy: 0.9541, prior_entropy: 0.9312, recall: 0.9541, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4215, scimark_benchmark: 1313.0682, usercpu_time_millis: 3.663, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 3.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.5165, kb_relative_information_score: -1.8098, 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: 1307.9477, usercpu_time_millis: 6.416, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 6.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 948.6406, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9312, recall: 0.999, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0679, scimark_benchmark: 1291.748, usercpu_time_millis: 5.634, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 5.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9535, kappa: 0.8984, kb_relative_information_score: 785.1725, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9557, predictive_accuracy: 0.953, prior_entropy: 0.9312, recall: 0.953, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4205, scimark_benchmark: 1346.6365, usercpu_time_millis: 3.591, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9535, kappa: 0.8984, kb_relative_information_score: 785.3936, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9557, predictive_accuracy: 0.953, prior_entropy: 0.9312, recall: 0.953, relative_absolute_error: 0.1957, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4204, scimark_benchmark: 1311.0904, usercpu_time_millis: 3.418, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 924.8629, mean_absolute_error: 0.0174, 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: 0.0384, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.1678, scimark_benchmark: 1308.5232, usercpu_time_millis: 2.179, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 2.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 952.9738, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0167, root_relative_squared_error: 0.035, scimark_benchmark: 1294.3702, usercpu_time_millis: 3.512, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 3.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 893.1749, mean_absolute_error: 0.0351, 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: 0.0776, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.2686, scimark_benchmark: 1311.8983, usercpu_time_millis: 2.908, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 2.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 951.666, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, relative_absolute_error: 0.0085, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0178, root_relative_squared_error: 0.0374, scimark_benchmark: 1285.6439, usercpu_time_millis: 2.448, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 2.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 898.9177, mean_absolute_error: 0.0313, 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: 0.0692, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.2682, scimark_benchmark: 1305.4215, usercpu_time_millis: 4.227, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 4.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.586, kappa: 0.1186, kb_relative_information_score: 92.8897, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7878, predictive_accuracy: 0.6858, prior_entropy: 0.9312, recall: 0.6858, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9437, scimark_benchmark: 1310.2297, usercpu_time_millis: 5.905, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 5.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.5165, kb_relative_information_score: -2.347, mean_absolute_error: 0.4536, 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: 1.0012, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1288.8564, usercpu_time_millis: 5.26, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 5.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.7663, kappa: 0.4869, kb_relative_information_score: 342.0409, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7679, predictive_accuracy: 0.7651, prior_entropy: 0.9312, recall: 0.7651, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.8109, scimark_benchmark: 1301.354, usercpu_time_millis: 3.825, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 3.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9196, kappa: 0.8252, kb_relative_information_score: 688.4949, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9238, predictive_accuracy: 0.9186, prior_entropy: 0.9312, recall: 0.9186, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5226, scimark_benchmark: 1292.8008, usercpu_time_millis: 3.086, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 3.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.5165, kb_relative_information_score: -1.8098, 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: 1279.3165, usercpu_time_millis: 5.485, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 5.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 893.1409, mean_absolute_error: 0.0352, 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: 0.0776, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.2686, scimark_benchmark: 1277.1761, usercpu_time_millis: 2.645, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 2.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 893.1637, mean_absolute_error: 0.0351, 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: 0.0776, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.2686, scimark_benchmark: 1312.8354, usercpu_time_millis: 2.471, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 2.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9675, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 893.1756, mean_absolute_error: 0.0351, 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: 0.0776, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.2686, scimark_benchmark: 1298.4937, usercpu_time_millis: 2.551, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 2.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7613, kappa: 0.4766, kb_relative_information_score: 340.4586, mean_absolute_error: 0.2935, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7633, predictive_accuracy: 0.7599, prior_entropy: 0.9312, recall: 0.7599, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.8116, scimark_benchmark: 1294.7322, usercpu_time_millis: 3.04, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 2.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 949.1465, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9312, recall: 0.999, relative_absolute_error: 0.0117, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0565, scimark_benchmark: 1296.3728, usercpu_time_millis: 3.106, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 3.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 893.1756, mean_absolute_error: 0.0351, 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: 0.0776, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.2686, scimark_benchmark: 1308.8423, usercpu_time_millis: 3.504, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 3.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.5165, kb_relative_information_score: -1.8098, 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: 1314.7215, usercpu_time_millis: 5.77, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 5.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 954.1201, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, relative_absolute_error: 0.0053, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0075, root_relative_squared_error: 0.0157, scimark_benchmark: 1285.1836, usercpu_time_millis: 2.773, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 2.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4458, f_measure: 0.5165, kb_relative_information_score: -2.347, mean_absolute_error: 0.4536, 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: 1.0012, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1311.7132, usercpu_time_millis: 6.021, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 5.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8646, kappa: 0.7016, kb_relative_information_score: 583.0834, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8649, predictive_accuracy: 0.8643, prior_entropy: 0.9312, recall: 0.8643, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.5951, scimark_benchmark: 1311.3431, usercpu_time_millis: 3.191, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 3.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.771, kappa: 0.4958, kb_relative_information_score: 346.3634, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7717, predictive_accuracy: 0.7704, prior_entropy: 0.9312, recall: 0.7704, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.8046, scimark_benchmark: 1313.9009, usercpu_time_millis: 3.811, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 3.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7645, kappa: 0.4838, kb_relative_information_score: 341.1884, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7666, predictive_accuracy: 0.763, prior_entropy: 0.9312, recall: 0.763, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.8101, scimark_benchmark: 1305.2884, usercpu_time_millis: 3.997, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 3.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9853, kappa: 0.9674, kb_relative_information_score: 897.4585, mean_absolute_error: 0.0317, 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: 0.07, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.2578, scimark_benchmark: 1302.6368, usercpu_time_millis: 3.721, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 3.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.7623, kappa: 0.4785, kb_relative_information_score: 340.2027, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7641, predictive_accuracy: 0.761, prior_entropy: 0.9312, recall: 0.761, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3862, root_relative_squared_error: 0.8116, scimark_benchmark: 1309.1486, usercpu_time_millis: 2.992, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 2.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 945.451, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0297, root_relative_squared_error: 0.0623, scimark_benchmark: 1311.4409, usercpu_time_millis: 5.278, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 5.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.976, kappa: 0.9473, kb_relative_information_score: 873.018, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9762, predictive_accuracy: 0.976, prior_entropy: 0.9312, recall: 0.976, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3014, scimark_benchmark: 1301.1312, usercpu_time_millis: 3.283, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 3.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4458, f_measure: 0.5165, kb_relative_information_score: -2.3479, mean_absolute_error: 0.4536, 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: 1.0012, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1290.3656, usercpu_time_millis: 7.846, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 7.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.7713, kappa: 0.4882, kb_relative_information_score: 346.2226, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7708, predictive_accuracy: 0.7756, prior_entropy: 0.9312, recall: 0.7756, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.388, root_relative_squared_error: 0.8153, scimark_benchmark: 1311.6564, usercpu_time_millis: 3.316, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 3.225,

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