Task
Supervised Classification on robot-failures-lp4

Supervised Classification on robot-failures-lp4

Task 9937 Supervised Classification robot-failures-lp4 98 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8031, kappa: 0.6425, kb_relative_information_score: 74.2584, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8062, predictive_accuracy: 0.8034, prior_entropy: 1.3564, recall: 0.8034, relative_absolute_error: 0.3767, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.8146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, kappa: 0.3403, kb_relative_information_score: 32.0791, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.3667, number_of_instances: 117, predictive_accuracy: 0.7094, prior_entropy: 1.3564, recall: 0.7094, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8655, kappa: 0.7626, kb_relative_information_score: 66.8217, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8759, predictive_accuracy: 0.8632, prior_entropy: 1.3564, recall: 0.8632, relative_absolute_error: 0.532, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.6746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7652, f_measure: 0.7371, kappa: 0.5327, kb_relative_information_score: 62.6907, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7553, predictive_accuracy: 0.735, prior_entropy: 1.3564, recall: 0.735, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8712, kappa: 0.77, kb_relative_information_score: 89.0466, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8724, predictive_accuracy: 0.8718, prior_entropy: 1.3564, recall: 0.8718, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.267, root_relative_squared_error: 0.6252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.6332, kappa: 0.3121, kb_relative_information_score: 46.7644, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.6299, predictive_accuracy: 0.641, prior_entropy: 1.3564, recall: 0.641, relative_absolute_error: 0.6586, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8676, kappa: 0.7686, kb_relative_information_score: 86.6795, mean_absolute_error: 0.1109, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8909, predictive_accuracy: 0.8632, prior_entropy: 1.3564, recall: 0.8632, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.6735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.7838, kappa: 0.5961, kb_relative_information_score: 66.7054, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7844, predictive_accuracy: 0.7863, prior_entropy: 1.3564, recall: 0.7863, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.6839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8695, kappa: 0.7716, kb_relative_information_score: 90.9355, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.9029, predictive_accuracy: 0.8632, prior_entropy: 1.3564, recall: 0.8632, relative_absolute_error: 0.2499, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2792, root_relative_squared_error: 0.6539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.8031, kappa: 0.6383, kb_relative_information_score: 73.3079, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.803, predictive_accuracy: 0.8034, prior_entropy: 1.3564, recall: 0.8034, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8598, kappa: 0.7557, kb_relative_information_score: 89.0741, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8869, predictive_accuracy: 0.8547, prior_entropy: 1.3564, recall: 0.8547, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.7288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.884, kappa: 0.7922, kb_relative_information_score: 89.1959, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.899, predictive_accuracy: 0.8889, prior_entropy: 1.3564, recall: 0.8889, relative_absolute_error: 0.242, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8438, kappa: 0.7108, kb_relative_information_score: 83.0816, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8475, predictive_accuracy: 0.8462, prior_entropy: 1.3564, recall: 0.8462, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3188, root_relative_squared_error: 0.7466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8676, f_measure: 0.8402, kappa: 0.73, kb_relative_information_score: 71.1401, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8702, predictive_accuracy: 0.8376, prior_entropy: 1.3564, recall: 0.8376, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.7216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.7986, kappa: 0.6468, kb_relative_information_score: 73.619, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8365, predictive_accuracy: 0.7949, prior_entropy: 1.3564, recall: 0.7949, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.345, root_relative_squared_error: 0.8079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.6989, kappa: 0.4928, kb_relative_information_score: 55.1614, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7875, predictive_accuracy: 0.7009, prior_entropy: 1.3564, recall: 0.7009, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4364, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.7176, kappa: 0.5252, kb_relative_information_score: 60.6213, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7947, predictive_accuracy: 0.7436, prior_entropy: 1.3564, recall: 0.7436, relative_absolute_error: 0.5096, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.8362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9071, f_measure: 0.8312, kappa: 0.7171, kb_relative_information_score: 85.3621, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8652, predictive_accuracy: 0.8291, prior_entropy: 1.3564, recall: 0.8291, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.329, root_relative_squared_error: 0.7705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.6408, kappa: 0.3684, kb_relative_information_score: 36.1896, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.6055, predictive_accuracy: 0.7265, prior_entropy: 1.3564, recall: 0.7265, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8402, kappa: 0.73, kb_relative_information_score: 86.0244, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8702, predictive_accuracy: 0.8376, prior_entropy: 1.3564, recall: 0.8376, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.329, root_relative_squared_error: 0.7704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8418, kappa: 0.7047, kb_relative_information_score: 68.1417, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.851, predictive_accuracy: 0.8462, prior_entropy: 1.3564, recall: 0.8462, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2921, root_relative_squared_error: 0.6841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.857, kappa: 0.7391, kb_relative_information_score: 62.4145, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8679, predictive_accuracy: 0.8632, prior_entropy: 1.3564, recall: 0.8632, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.287, root_relative_squared_error: 0.6721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4579, f_measure: 0.4689, kb_relative_information_score: -0.0184, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.3787, predictive_accuracy: 0.6154, prior_entropy: 1.3564, recall: 0.6154, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4273, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.868, kappa: 0.7634, kb_relative_information_score: 86.2205, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8862, predictive_accuracy: 0.8718, prior_entropy: 1.3564, recall: 0.8718, relative_absolute_error: 0.2912, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.7376, kappa: 0.5501, kb_relative_information_score: 65.0538, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8037, predictive_accuracy: 0.7521, prior_entropy: 1.3564, recall: 0.7521, relative_absolute_error: 0.4673, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.8298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.7501, kappa: 0.5645, kb_relative_information_score: 68.377, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8079, predictive_accuracy: 0.7521, prior_entropy: 1.3564, recall: 0.7521, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7602, kappa: 0.562, kb_relative_information_score: 66.0671, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7621, predictive_accuracy: 0.7607, prior_entropy: 1.3564, recall: 0.7607, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.832, kappa: 0.7175, kb_relative_information_score: 84.462, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8659, predictive_accuracy: 0.8291, prior_entropy: 1.3564, recall: 0.8291, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.6982, kappa: 0.4694, kb_relative_information_score: 43.5987, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7638, predictive_accuracy: 0.7607, prior_entropy: 1.3564, recall: 0.7607, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.8212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.6675, kappa: 0.442, kb_relative_information_score: 40.7547, mean_absolute_error: 0.2849, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.6182, predictive_accuracy: 0.7521, prior_entropy: 1.3564, recall: 0.7521, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8076, kappa: 0.68, kb_relative_information_score: 79.4714, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8573, predictive_accuracy: 0.8034, prior_entropy: 1.3564, recall: 0.8034, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8874, kappa: 0.7988, kb_relative_information_score: 75.9855, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.9089, predictive_accuracy: 0.8974, prior_entropy: 1.3564, recall: 0.8974, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.5697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.65, kappa: 0.3934, kb_relative_information_score: 38.4289, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.6097, predictive_accuracy: 0.735, prior_entropy: 1.3564, recall: 0.735, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.8838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.6589, kappa: 0.4179, kb_relative_information_score: 39.1662, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.6139, predictive_accuracy: 0.7436, prior_entropy: 1.3564, recall: 0.7436, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.8779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.834, kappa: 0.7211, kb_relative_information_score: 84.361, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8793, predictive_accuracy: 0.8291, prior_entropy: 1.3564, recall: 0.8291, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.7899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7602, kappa: 0.562, kb_relative_information_score: 66.0671, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7621, predictive_accuracy: 0.7607, prior_entropy: 1.3564, recall: 0.7607, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8238, kappa: 0.7052, kb_relative_information_score: 83.7716, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8618, predictive_accuracy: 0.8205, prior_entropy: 1.3564, recall: 0.8205, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.317, root_relative_squared_error: 0.7424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4385, f_measure: 0.4607, kappa: -0.0257, kb_relative_information_score: -0.8059, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.3746, predictive_accuracy: 0.5983, prior_entropy: 1.3564, recall: 0.5983, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4352, root_relative_squared_error: 1.0192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8542, kappa: 0.7337, kb_relative_information_score: 69.0705, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8682, predictive_accuracy: 0.8632, prior_entropy: 1.3564, recall: 0.8632, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.821, kappa: 0.6721, kb_relative_information_score: 79.1414, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8226, predictive_accuracy: 0.8205, prior_entropy: 1.3564, recall: 0.8205, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.8591, kappa: 0.7462, kb_relative_information_score: 87.2435, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8611, predictive_accuracy: 0.8632, prior_entropy: 1.3564, recall: 0.8632, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.7071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.8203, kappa: 0.6696, kb_relative_information_score: 78.8759, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8232, predictive_accuracy: 0.8291, prior_entropy: 1.3564, recall: 0.8291, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.7905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.8585, kappa: 0.7357, kb_relative_information_score: 86.0697, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8681, predictive_accuracy: 0.8632, prior_entropy: 1.3564, recall: 0.8632, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.7071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7962, kappa: 0.6517, kb_relative_information_score: 76.4179, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8215, predictive_accuracy: 0.7949, prior_entropy: 1.3564, recall: 0.7949, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.7652, kappa: 0.5457, kb_relative_information_score: 67.1889, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7881, predictive_accuracy: 0.7778, prior_entropy: 1.3564, recall: 0.7778, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.9013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8839, kappa: 0.7866, kb_relative_information_score: 91.4292, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8975, predictive_accuracy: 0.8889, prior_entropy: 1.3564, recall: 0.8889, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.6373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.751, kappa: 0.5463, kb_relative_information_score: 64.9595, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7521, predictive_accuracy: 0.7521, prior_entropy: 1.3564, recall: 0.7521, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.9519,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8954, kappa: 0.8098, kb_relative_information_score: 94.3344, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8955, predictive_accuracy: 0.8974, prior_entropy: 1.3564, recall: 0.8974, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.6123, usercpu_time_millis: 384.353, usercpu_time_millis_testing: 18.941, usercpu_time_millis_training: 365.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.8286, kappa: 0.693, kb_relative_information_score: 81.5919, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8654, predictive_accuracy: 0.8205, prior_entropy: 1.3564, recall: 0.8205, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.81, usercpu_time_millis: 1.343, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.3,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7766, kappa: 0.5885, kb_relative_information_score: 69.7423, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7761, predictive_accuracy: 0.7778, prior_entropy: 1.3564, recall: 0.7778, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.9013, usercpu_time_millis: 8.336, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 7.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.6593, kappa: 0.446, kb_relative_information_score: 59.3561, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.5962, predictive_accuracy: 0.7436, prior_entropy: 1.3564, recall: 0.7436, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.9682, usercpu_time_millis: 0.805, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.6491, kappa: 0.3795, kb_relative_information_score: 53.2967, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.6128, predictive_accuracy: 0.7179, prior_entropy: 1.3564, recall: 0.7179, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4336, root_relative_squared_error: 1.0154, usercpu_time_millis: 0.598, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4689, kb_relative_information_score: 27.5764, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.3787, predictive_accuracy: 0.6154, prior_entropy: 1.3564, recall: 0.6154, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.1858, usercpu_time_millis: 0.261, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7368, kappa: 0.5246, kb_relative_information_score: 62.5053, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7407, predictive_accuracy: 0.735, prior_entropy: 1.3564, recall: 0.735, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9842, usercpu_time_millis: 0.579, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 0.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0546, kb_relative_information_score: -39.8545, mean_absolute_error: 0.547, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.0322, predictive_accuracy: 0.1795, prior_entropy: 1.3564, recall: 0.1795, relative_absolute_error: 1.4918, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.7396, root_relative_squared_error: 1.7319, usercpu_time_millis: 11.842, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 11.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.898, kappa: 0.8194, kb_relative_information_score: 94.7689, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.9141, predictive_accuracy: 0.906, prior_entropy: 1.3564, recall: 0.906, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.5863, usercpu_time_millis: 1.213, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.898, kappa: 0.8194, kb_relative_information_score: 94.7689, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.9141, predictive_accuracy: 0.906, prior_entropy: 1.3564, recall: 0.906, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.5863, usercpu_time_millis: 8.161, usercpu_time_millis_testing: 1.239, usercpu_time_millis_training: 6.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8899, kappa: 0.8016, kb_relative_information_score: 92.8519, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.9067, predictive_accuracy: 0.8974, prior_entropy: 1.3564, recall: 0.8974, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.6123, usercpu_time_millis: 3.126, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 2.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8224, kappa: 0.6755, kb_relative_information_score: 79.4298, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8314, predictive_accuracy: 0.8205, prior_entropy: 1.3564, recall: 0.8205, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.81, usercpu_time_millis: 4.003, usercpu_time_millis_testing: 1.681, usercpu_time_millis_training: 2.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7722, kappa: 0.5736, kb_relative_information_score: 68.3627, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7759, predictive_accuracy: 0.7778, prior_entropy: 1.3564, recall: 0.7778, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.9013, usercpu_time_millis: 2.907, usercpu_time_millis_testing: 1.188, usercpu_time_millis_training: 1.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.6312, kappa: 0.2804, kb_relative_information_score: 41.691, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.6514, predictive_accuracy: 0.6581, prior_entropy: 1.3564, recall: 0.6581, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.118, usercpu_time_millis: 0.201, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.7062, kappa: 0.5037, kb_relative_information_score: 60.3025, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7049, predictive_accuracy: 0.735, prior_entropy: 1.3564, recall: 0.735, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9842, usercpu_time_millis: 15.169, usercpu_time_millis_testing: 1.756, usercpu_time_millis_training: 13.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.7323, kappa: 0.5307, kb_relative_information_score: 62.2791, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7341, predictive_accuracy: 0.735, prior_entropy: 1.3564, recall: 0.735, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9842, usercpu_time_millis: 1.304, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 1.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8676, kappa: 0.7686, kb_relative_information_score: 90.5997, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8909, predictive_accuracy: 0.8632, prior_entropy: 1.3564, recall: 0.8632, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3019, root_relative_squared_error: 0.7071, usercpu_time_millis: 1.38, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.5662, kappa: 0.3216, kb_relative_information_score: 30.8807, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.6429, predictive_accuracy: 0.5641, prior_entropy: 1.3564, recall: 0.5641, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.5391, root_relative_squared_error: 1.2624, usercpu_time_millis: 1.616, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 1.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.6378, kappa: 0.3861, kb_relative_information_score: 43.829, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.6585, predictive_accuracy: 0.641, prior_entropy: 1.3564, recall: 0.641, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.1456, usercpu_time_millis: 1.078, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7149, f_measure: 0.6159, kappa: 0.402, kb_relative_information_score: 42.5054, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.6901, predictive_accuracy: 0.6154, prior_entropy: 1.3564, recall: 0.6154, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.5064, root_relative_squared_error: 1.1858, usercpu_time_millis: 0.398, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.6778, kappa: 0.4513, kb_relative_information_score: 50.9199, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7085, predictive_accuracy: 0.6752, prior_entropy: 1.3564, recall: 0.6752, relative_absolute_error: 0.5905, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.0897, usercpu_time_millis: 0.645, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7664, f_measure: 0.7084, kappa: 0.5114, kb_relative_information_score: 58.6905, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7514, predictive_accuracy: 0.7094, prior_entropy: 1.3564, recall: 0.7094, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4402, root_relative_squared_error: 1.0307, usercpu_time_millis: 0.665, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.6854, kappa: 0.5149, kb_relative_information_score: 62.9028, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.6239, predictive_accuracy: 0.7607, prior_entropy: 1.3564, recall: 0.7607, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.9354, usercpu_time_millis: 0.665, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7675, kappa: 0.5691, kb_relative_information_score: 67.7225, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7691, predictive_accuracy: 0.7692, prior_entropy: 1.3564, recall: 0.7692, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9185, usercpu_time_millis: 3.847, usercpu_time_millis_testing: 1.517, usercpu_time_millis_training: 2.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.7095, kappa: 0.5252, kb_relative_information_score: 62.8596, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7975, predictive_accuracy: 0.7521, prior_entropy: 1.3564, recall: 0.7521, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.9519, usercpu_time_millis: 0.454, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 0.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.7602, kappa: 0.562, kb_relative_information_score: 66.9793, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7621, predictive_accuracy: 0.7607, prior_entropy: 1.3564, recall: 0.7607, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.9354, usercpu_time_millis: 3.177, usercpu_time_millis_testing: 1.332, usercpu_time_millis_training: 1.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8655, kappa: 0.7601, kb_relative_information_score: 88.6662, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8851, predictive_accuracy: 0.8718, prior_entropy: 1.3564, recall: 0.8718, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.6846, usercpu_time_millis: 3.357, usercpu_time_millis_testing: 1.458, usercpu_time_millis_training: 1.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, f_measure: 0.5923, kappa: 0.2207, kb_relative_information_score: 37.5891, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.5897, predictive_accuracy: 0.641, prior_entropy: 1.3564, recall: 0.641, relative_absolute_error: 0.6527, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.1456, usercpu_time_millis: 6.383, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 6.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7047, kappa: 0.4499, kb_relative_information_score: 58.3068, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7866, predictive_accuracy: 0.7436, prior_entropy: 1.3564, recall: 0.7436, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.9682, usercpu_time_millis: 1.632, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 1.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.937, kappa: 0.8867, kb_relative_information_score: 102.354, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.9438, predictive_accuracy: 0.9402, prior_entropy: 1.3564, recall: 0.9402, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4677, usercpu_time_millis: 0.838, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.8014, kappa: 0.6391, kb_relative_information_score: 76.1167, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8662, predictive_accuracy: 0.8291, prior_entropy: 1.3564, recall: 0.8291, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.7905, usercpu_time_millis: 8.408, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 7.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.73, kappa: 0.4954, kb_relative_information_score: 60.2403, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7294, predictive_accuracy: 0.735, prior_entropy: 1.3564, recall: 0.735, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.9842, usercpu_time_millis: 2.273, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 1.85,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.7473, kappa: 0.5696, kb_relative_information_score: 67.9308, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7402, predictive_accuracy: 0.7778, prior_entropy: 1.3564, recall: 0.7778, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.9013, usercpu_time_millis: 8.518, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 7.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.8131, kappa: 0.6678, kb_relative_information_score: 78.5406, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8578, predictive_accuracy: 0.8034, prior_entropy: 1.3564, recall: 0.8034, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.362, root_relative_squared_error: 0.8477, usercpu_time_millis: 1.393, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.8021, kappa: 0.6532, kb_relative_information_score: 64.0498, mean_absolute_error: 0.191, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8487, predictive_accuracy: 0.7949, prior_entropy: 1.3564, recall: 0.7949, relative_absolute_error: 0.5209, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.7921, scimark_benchmark: 478.8643, usercpu_time_millis: 15150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 15130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7741, kappa: 0.6165, kb_relative_information_score: 62.1455, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7818, predictive_accuracy: 0.8034, prior_entropy: 1.3564, recall: 0.8034, relative_absolute_error: 0.5567, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.7393, scimark_benchmark: 1252.9564, usercpu_time_millis: 1470, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.8067, kappa: 0.6847, kb_relative_information_score: 80.1358, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8627, predictive_accuracy: 0.8034, prior_entropy: 1.3564, recall: 0.8034, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7952, scimark_benchmark: 1257.5392, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7805, kappa: 0.6085, kb_relative_information_score: 70.7441, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7919, predictive_accuracy: 0.7778, prior_entropy: 1.3564, recall: 0.7778, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.8803, scimark_benchmark: 1216.6257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.8979, kappa: 0.8149, kb_relative_information_score: 93.8023, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8989, predictive_accuracy: 0.8974, prior_entropy: 1.3564, recall: 0.8974, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.6167, scimark_benchmark: 1247.9114, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8655, kappa: 0.7601, kb_relative_information_score: 86.7922, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8851, predictive_accuracy: 0.8718, prior_entropy: 1.3564, recall: 0.8718, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.6757, scimark_benchmark: 473.1656, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.668, kappa: 0.4531, kb_relative_information_score: 49.9809, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7204, predictive_accuracy: 0.6752, prior_entropy: 1.3564, recall: 0.6752, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.089, scimark_benchmark: 1254.1389, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7602, kappa: 0.562, kb_relative_information_score: 66.0671, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7621, predictive_accuracy: 0.7607, prior_entropy: 1.3564, recall: 0.7607, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9266, scimark_benchmark: 473.1656, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8598, kappa: 0.7557, kb_relative_information_score: 89.0741, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8869, predictive_accuracy: 0.8547, prior_entropy: 1.3564, recall: 0.8547, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.7288, scimark_benchmark: 473.1656, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.4966, kappa: 0.0946, kb_relative_information_score: 26.2431, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.4555, predictive_accuracy: 0.547, prior_entropy: 1.3564, recall: 0.547, relative_absolute_error: 0.8785, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.9777, scimark_benchmark: 479.2609, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8402, kappa: 0.73, kb_relative_information_score: 86.023, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8702, predictive_accuracy: 0.8376, prior_entropy: 1.3564, recall: 0.8376, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.329, root_relative_squared_error: 0.7705, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8402, kappa: 0.73, kb_relative_information_score: 86.023, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.8702, predictive_accuracy: 0.8376, prior_entropy: 1.3564, recall: 0.8376, relative_absolute_error: 0.2953, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.329, root_relative_squared_error: 0.7705, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.9067, kappa: 0.8293, kb_relative_information_score: 95.4694, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.9077, predictive_accuracy: 0.906, prior_entropy: 1.3564, recall: 0.906, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.593, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4579, f_measure: 0.4689, kb_relative_information_score: -0.0184, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.3787, predictive_accuracy: 0.6154, prior_entropy: 1.3564, recall: 0.6154, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.4273, root_relative_squared_error: 1.0007, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7602, kappa: 0.562, kb_relative_information_score: 66.0671, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.3667, number_of_instances: 117, precision: 0.7621, predictive_accuracy: 0.7607, prior_entropy: 1.3564, recall: 0.7607, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.427, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.9266,

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