Task
Supervised Classification on sleep

Supervised Classification on sleep

Task 3605 Supervised Classification sleep 478 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.6422, kappa: 0.2813, kb_relative_information_score: 12.7762, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6446, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.8052, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5616, root_relative_squared_error: 1.1255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.7567, kappa: 0.511, kb_relative_information_score: 19.6733, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.759, predictive_accuracy: 0.7581, prior_entropy: 0.9972, recall: 0.7581, relative_absolute_error: 0.7242, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7577, kappa: 0.5131, kb_relative_information_score: 19.4632, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7578, predictive_accuracy: 0.7581, prior_entropy: 0.9972, recall: 0.7581, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.6067, kappa: 0.2127, kb_relative_information_score: 13.7171, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6123, predictive_accuracy: 0.6129, prior_entropy: 0.9972, recall: 0.6129, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6222, root_relative_squared_error: 1.2469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.627, kappa: 0.2503, kb_relative_information_score: 8.9026, mean_absolute_error: 0.4382, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6279, predictive_accuracy: 0.629, prior_entropy: 0.9972, recall: 0.629, relative_absolute_error: 0.88, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5358, root_relative_squared_error: 1.0739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.6872, kappa: 0.3754, kb_relative_information_score: 18.3655, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6995, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5165, root_relative_squared_error: 1.0352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6223, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 6.4915, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.476, root_relative_squared_error: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.665, kappa: 0.3383, kb_relative_information_score: 14.2676, mean_absolute_error: 0.3975, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6912, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.5769, kappa: 0.1957, kb_relative_information_score: 15.5402, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6388, predictive_accuracy: 0.6129, prior_entropy: 0.9972, recall: 0.6129, relative_absolute_error: 0.7482, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5584, root_relative_squared_error: 1.1191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 18.3455, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.5804, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.565, root_relative_squared_error: 1.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.6609, kappa: 0.3268, kb_relative_information_score: 17.3408, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6691, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.644, kappa: 0.2844, kb_relative_information_score: 11.9024, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6443, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.8195, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.9586, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.6899, kappa: 0.378, kb_relative_information_score: 15.9735, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6955, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.5945, kappa: 0.1851, kb_relative_information_score: 9.2075, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.5951, predictive_accuracy: 0.5968, prior_entropy: 0.9972, recall: 0.5968, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5946, root_relative_squared_error: 1.1917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.6796, kappa: 0.3701, kb_relative_information_score: 19.6414, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7146, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 24.1959, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.6723, kappa: 0.3439, kb_relative_information_score: 14.7741, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6802, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.7831, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.464, root_relative_squared_error: 0.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7456, f_measure: 0.6691, kappa: 0.3411, kb_relative_information_score: 20.6006, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6846, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5204, root_relative_squared_error: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.6029, kappa: 0.2094, kb_relative_information_score: 11.6693, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6141, predictive_accuracy: 0.6129, prior_entropy: 0.9972, recall: 0.6129, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.7352, kappa: 0.4729, kb_relative_information_score: 11.3495, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7551, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.8509, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4519, f_measure: 0.3698, kb_relative_information_score: -0.1155, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.9972, recall: 0.5323, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.6919, kappa: 0.3807, kb_relative_information_score: 16.6639, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6934, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.644, kappa: 0.2844, kb_relative_information_score: 14.4314, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6443, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6938, kappa: 0.3884, kb_relative_information_score: 14.8756, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6973, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.6723, kappa: 0.3439, kb_relative_information_score: 19.3854, mean_absolute_error: 0.3461, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6802, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5091, root_relative_squared_error: 1.0203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.6572, kappa: 0.3126, kb_relative_information_score: 13.967, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.662, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.5518, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6833, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5614, root_relative_squared_error: 1.1251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.7567, kappa: 0.511, kb_relative_information_score: 17.9855, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.759, predictive_accuracy: 0.7581, prior_entropy: 0.9972, recall: 0.7581, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.44, root_relative_squared_error: 0.8819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.6691, kappa: 0.3411, kb_relative_information_score: 21.7623, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6846, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.568, root_relative_squared_error: 1.1383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7816, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.9391, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.6747, kappa: 0.3467, kb_relative_information_score: 10.765, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6777, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.6872, kappa: 0.3754, kb_relative_information_score: 23.7736, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6995, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5536, root_relative_squared_error: 1.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.5901, kappa: 0.2275, kb_relative_information_score: 15.7284, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6702, predictive_accuracy: 0.629, prior_entropy: 0.9972, recall: 0.629, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.2207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.5769, kappa: 0.1957, kb_relative_information_score: 16.8668, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6388, predictive_accuracy: 0.6129, prior_entropy: 0.9972, recall: 0.6129, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5638, root_relative_squared_error: 1.1299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7351, f_measure: 0.7583, kappa: 0.5151, kb_relative_information_score: 24.2438, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7588, predictive_accuracy: 0.7581, prior_entropy: 0.9972, recall: 0.7581, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.8808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.9586, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3698, kb_relative_information_score: 3.6605, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.9972, recall: 0.5323, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6839, root_relative_squared_error: 1.3707, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.3624, kappa: -0.0322, kb_relative_information_score: 1.6492, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.2792, predictive_accuracy: 0.5161, prior_entropy: 0.9972, recall: 0.5161, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6956, root_relative_squared_error: 1.3941, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3698, kb_relative_information_score: 3.6605, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.9972, recall: 0.5323, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6839, root_relative_squared_error: 1.3707, scimark_benchmark: 1377.8759, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.3624, kappa: -0.0322, kb_relative_information_score: 1.6492, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.2792, predictive_accuracy: 0.5161, prior_entropy: 0.9972, recall: 0.5161, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6956, root_relative_squared_error: 1.3941, scimark_benchmark: 1373.6962, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.675, f_measure: 0.6932, kappa: 0.3909, kb_relative_information_score: 20.1017, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7019, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.015, scimark_benchmark: 1908.2191, usercpu_time_millis: 156.25, usercpu_time_millis_training: 156.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.71, kappa: 0.4194, kb_relative_information_score: 25.663, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7118, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0092, scimark_benchmark: 1908.2191, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3218, f_measure: 0.3233, kappa: -0.3548, kb_relative_information_score: -22.4867, mean_absolute_error: 0.6774, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.3247, predictive_accuracy: 0.3226, prior_entropy: 0.9972, recall: 0.3226, relative_absolute_error: 1.3603, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.8231, root_relative_squared_error: 1.6495, scimark_benchmark: 1827.4462, usercpu_time_millis: 123015.625, usercpu_time_millis_training: 123015.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 29.8076, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0181, scimark_benchmark: 1827.4462, usercpu_time_millis: 2953.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 2937.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.6938, kappa: 0.3884, kb_relative_information_score: 22.7859, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6973, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9844, scimark_benchmark: 1402.3689, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7419, kappa: 0.4817, kb_relative_information_score: 25.0661, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7419, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.6097, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9463, scimark_benchmark: 1871.4229,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.9586, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1309, scimark_benchmark: 1233.2648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.71, kappa: 0.4194, kb_relative_information_score: 20.3108, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7118, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9807, scimark_benchmark: 1047.4537, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.6838, kappa: 0.3727, kb_relative_information_score: 23.7736, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7056, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5536, root_relative_squared_error: 1.1095, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7072, kappa: 0.412, kb_relative_information_score: 25.785, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7108, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.0799, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 15.3747, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9606, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.7097, kappa: 0.4169, kb_relative_information_score: 25.129, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7097, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.0616, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.6594, kappa: 0.3155, kb_relative_information_score: 15.6507, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6607, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5519, root_relative_squared_error: 1.1061, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, f_measure: 0.6723, kappa: 0.3439, kb_relative_information_score: 12.5445, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6802, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9898, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.6543, kappa: 0.3097, kb_relative_information_score: 11.4706, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6649, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9898, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6395, kappa: 0.2783, kb_relative_information_score: 10.1369, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6462, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9981, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.5804, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.565, root_relative_squared_error: 1.1324, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.6747, kappa: 0.3467, kb_relative_information_score: 15.9784, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6777, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9792, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.9586, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1309, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.6838, kappa: 0.3727, kb_relative_information_score: 23.7736, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7056, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5536, root_relative_squared_error: 1.1095, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7072, kappa: 0.412, kb_relative_information_score: 25.785, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7108, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.0799, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.71, kappa: 0.4194, kb_relative_information_score: 20.3095, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7118, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9807, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 15.3747, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9606, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.7097, kappa: 0.4169, kb_relative_information_score: 25.129, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7097, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.0616, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.6594, kappa: 0.3155, kb_relative_information_score: 15.6507, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6607, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.7603, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5519, root_relative_squared_error: 1.1061, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6358, f_measure: 0.6747, kappa: 0.3467, kb_relative_information_score: 12.9747, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6777, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.8192, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9853, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6557, f_measure: 0.6543, kappa: 0.3097, kb_relative_information_score: 11.4706, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6649, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.8408, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9898, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.6395, kappa: 0.2783, kb_relative_information_score: 11.488, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6462, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.8426, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9818, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.5804, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.565, root_relative_squared_error: 1.1324, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.6747, kappa: 0.3467, kb_relative_information_score: 15.9784, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6777, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.7697, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9792, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 15.3747, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9606, scimark_benchmark: 1327.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 18.3455, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8901, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.6594, kappa: 0.3155, kb_relative_information_score: 15.6397, mean_absolute_error: 0.3788, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6607, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5521, root_relative_squared_error: 1.1065, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.71, kappa: 0.4194, kb_relative_information_score: 20.3075, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7118, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9808, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7088, kappa: 0.4145, kb_relative_information_score: 18.1328, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7093, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.7253, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4958, root_relative_squared_error: 0.9937, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 18.6545, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9148, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7059, f_measure: 0.8058, kappa: 0.6097, kb_relative_information_score: 21.7758, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.8069, predictive_accuracy: 0.8065, prior_entropy: 0.9972, recall: 0.8065, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4338, root_relative_squared_error: 0.8694, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.7021, kappa: 0.407, kb_relative_information_score: 14.0337, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7199, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9214, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6118, f_measure: 0.5987, kappa: 0.2309, kb_relative_information_score: 15.7284, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6557, predictive_accuracy: 0.629, prior_entropy: 0.9972, recall: 0.629, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.2207, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.6838, kappa: 0.3727, kb_relative_information_score: 23.7736, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7056, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5536, root_relative_squared_error: 1.1095, scimark_benchmark: 1015.7531, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.7378, kappa: 0.4751, kb_relative_information_score: 15.3747, mean_absolute_error: 0.3921, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7482, predictive_accuracy: 0.7419, prior_entropy: 0.9972, recall: 0.7419, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9606, scimark_benchmark: 1441.0153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.7577, kappa: 0.5131, kb_relative_information_score: 15.0806, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7578, predictive_accuracy: 0.7581, prior_entropy: 0.9972, recall: 0.7581, relative_absolute_error: 0.7925, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9181, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.6544, kappa: 0.335, kb_relative_information_score: 15.9466, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6919, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0542, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.7226, kappa: 0.4595, kb_relative_information_score: 24.4684, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7513, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9385, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.7072, kappa: 0.412, kb_relative_information_score: 15.1822, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7108, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9262, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7097, kappa: 0.4169, kb_relative_information_score: 16.0485, mean_absolute_error: 0.3847, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7097, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.7725, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4604, root_relative_squared_error: 0.9227, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.6919, kappa: 0.3807, kb_relative_information_score: 16.6639, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6934, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9086, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.6796, kappa: 0.3701, kb_relative_information_score: 23.7736, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7146, predictive_accuracy: 0.6935, prior_entropy: 0.9972, recall: 0.6935, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5536, root_relative_squared_error: 1.1095, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.7072, kappa: 0.412, kb_relative_information_score: 25.785, mean_absolute_error: 0.2903, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7108, predictive_accuracy: 0.7097, prior_entropy: 0.9972, recall: 0.7097, relative_absolute_error: 0.583, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.0799, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.6764, kappa: 0.3494, kb_relative_information_score: 13.8173, mean_absolute_error: 0.4016, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6768, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9488, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, f_measure: 0.6572, kappa: 0.3126, kb_relative_information_score: 11.4399, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.662, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9891, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.6262, kappa: 0.269, kb_relative_information_score: 17.669, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6614, predictive_accuracy: 0.6452, prior_entropy: 0.9972, recall: 0.6452, relative_absolute_error: 0.7262, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9758, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.6336, kappa: 0.2977, kb_relative_information_score: 19.5804, mean_absolute_error: 0.3401, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.7002, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.6829, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.565, root_relative_squared_error: 1.1324, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7225, kappa: 0.4435, kb_relative_information_score: 17.8409, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.729, predictive_accuracy: 0.7258, prior_entropy: 0.9972, recall: 0.7258, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9016, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6317, f_measure: 0.6572, kappa: 0.3126, kb_relative_information_score: 13.967, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.662, predictive_accuracy: 0.6613, prior_entropy: 0.9972, recall: 0.6613, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0117, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.6691, kappa: 0.3411, kb_relative_information_score: 15.0475, mean_absolute_error: 0.3902, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6846, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9565, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.6747, kappa: 0.3467, kb_relative_information_score: 10.765, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.498, number_of_instances: 62, precision: 0.6777, predictive_accuracy: 0.6774, prior_entropy: 0.9972, recall: 0.6774, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9799, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs