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File: /var/www/openml/index.php
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Function: require_once

OpenML
Task
Supervised Classification on sonar

Supervised Classification on sonar

Task 1919 Supervised Classification sonar 396 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
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396 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8367, kappa: 0.6716, kb_relative_information_score: 1364.2873, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.839, predictive_accuracy: 0.8375, prior_entropy: 0.9968, recall: 0.8375, relative_absolute_error: 0.3462, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6721, scimark_benchmark: 854.5188, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.7512, kappa: 0.4999, kb_relative_information_score: 1039.21, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7512, predictive_accuracy: 0.7514, prior_entropy: 0.9968, recall: 0.7514, relative_absolute_error: 0.4994, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4986, root_relative_squared_error: 0.9994, scimark_benchmark: 1313.9994, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.6537, kappa: 0.351, kb_relative_information_score: 779.5479, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7736, predictive_accuracy: 0.6894, prior_entropy: 0.9968, recall: 0.6894, relative_absolute_error: 0.624, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5573, root_relative_squared_error: 1.1171, scimark_benchmark: 869.6028, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7785, f_measure: 0.7804, kappa: 0.5585, kb_relative_information_score: 1161.9959, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7806, predictive_accuracy: 0.7808, prior_entropy: 0.9968, recall: 0.7808, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9386, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.7497, kappa: 0.4968, kb_relative_information_score: 801.4708, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7497, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8325, scimark_benchmark: 1280.6952, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7774, f_measure: 0.7802, kappa: 0.558, kb_relative_information_score: 1164.0088, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7821, predictive_accuracy: 0.7813, prior_entropy: 0.9968, recall: 0.7813, relative_absolute_error: 0.4395, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9375, scimark_benchmark: 916.5955, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8646, kappa: 0.7277, kb_relative_information_score: 1313.2668, mean_absolute_error: 0.195, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8683, predictive_accuracy: 0.8654, prior_entropy: 0.9968, recall: 0.8654, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6081, scimark_benchmark: 1330.0694, usercpu_time_millis: 250, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.762, kappa: 0.5214, kb_relative_information_score: 1039.0736, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7623, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9085, scimark_benchmark: 1304.6687, usercpu_time_millis: 1180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.8335, kappa: 0.6653, kb_relative_information_score: 886.3567, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8373, predictive_accuracy: 0.8346, prior_entropy: 0.9968, recall: 0.8346, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7094, scimark_benchmark: 1318.5526, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7264, kappa: 0.4504, kb_relative_information_score: 934.54, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7264, predictive_accuracy: 0.7264, prior_entropy: 0.9968, recall: 0.7264, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.523, root_relative_squared_error: 1.0484, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7253, kappa: 0.4474, kb_relative_information_score: 716.4347, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7256, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9116, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.7262, kappa: 0.4495, kb_relative_information_score: 751.7203, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7284, predictive_accuracy: 0.7279, prior_entropy: 0.9968, recall: 0.7279, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.939, scimark_benchmark: 1355.7054, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.69, kappa: 0.3764, kb_relative_information_score: 785.5865, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.6903, predictive_accuracy: 0.6909, prior_entropy: 0.9968, recall: 0.6909, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.556, root_relative_squared_error: 1.1145, scimark_benchmark: 825.5282, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2966, kb_relative_information_score: -154.4305, mean_absolute_error: 0.5337, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.2175, predictive_accuracy: 0.4663, prior_entropy: 0.9968, recall: 0.4663, relative_absolute_error: 1.0721, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.7305, root_relative_squared_error: 1.4644, scimark_benchmark: 1384.4418, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.7332, kappa: 0.4641, kb_relative_information_score: 947.5249, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7333, predictive_accuracy: 0.7332, prior_entropy: 0.9968, recall: 0.7332, relative_absolute_error: 0.5459, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0203, scimark_benchmark: 1341.2341, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6142, f_measure: 0.6171, kappa: 0.2302, kb_relative_information_score: 487.6796, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.6183, predictive_accuracy: 0.6197, prior_entropy: 0.9968, recall: 0.6197, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6167, root_relative_squared_error: 1.2362, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.7372, kappa: 0.4714, kb_relative_information_score: 982.8492, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7378, predictive_accuracy: 0.738, prior_entropy: 0.9968, recall: 0.738, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0261, scimark_benchmark: 1418.5826, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.4083, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.721, kappa: 0.4392, kb_relative_information_score: 909.3954, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7209, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.5627, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5121, root_relative_squared_error: 1.0265, scimark_benchmark: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7282, kappa: 0.4544, kb_relative_information_score: 899.4429, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.734, predictive_accuracy: 0.7313, prior_entropy: 0.9968, recall: 0.7313, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7021, kappa: 0.4031, kb_relative_information_score: 488.7913, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7107, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.7915, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.8708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7866, kappa: 0.5734, kb_relative_information_score: 773.6164, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8031, predictive_accuracy: 0.7909, prior_entropy: 0.9968, recall: 0.7909, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.7645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.6922, kappa: 0.385, kb_relative_information_score: 637.1224, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7046, predictive_accuracy: 0.6986, prior_entropy: 0.9968, recall: 0.6986, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7248, kappa: 0.4488, kb_relative_information_score: 336.4454, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.735, predictive_accuracy: 0.7293, prior_entropy: 0.9968, recall: 0.7293, relative_absolute_error: 0.8672, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.7217, kappa: 0.4423, kb_relative_information_score: 244.7921, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7308, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.7124, kappa: 0.4215, kb_relative_information_score: 838.0199, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7132, predictive_accuracy: 0.7135, prior_entropy: 0.9968, recall: 0.7135, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.6791, kappa: 0.3566, kb_relative_information_score: 414.7356, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.6859, predictive_accuracy: 0.6837, prior_entropy: 0.9968, recall: 0.6837, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.7066, kappa: 0.4099, kb_relative_information_score: 627.3502, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7073, predictive_accuracy: 0.7077, prior_entropy: 0.9968, recall: 0.7077, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.7778, kappa: 0.5544, kb_relative_information_score: 513.1722, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7868, predictive_accuracy: 0.7808, prior_entropy: 0.9968, recall: 0.7808, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.7377, kappa: 0.4733, kb_relative_information_score: 925.6573, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.743, predictive_accuracy: 0.7404, prior_entropy: 0.9968, recall: 0.7404, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.7067, kappa: 0.4159, kb_relative_information_score: 510.5717, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7252, predictive_accuracy: 0.7144, prior_entropy: 0.9968, recall: 0.7144, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.7828, kappa: 0.5662, kb_relative_information_score: 789.227, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8009, predictive_accuracy: 0.7875, prior_entropy: 0.9968, recall: 0.7875, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.6927, kappa: 0.3859, kb_relative_information_score: 677.7496, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7052, predictive_accuracy: 0.699, prior_entropy: 0.9968, recall: 0.699, relative_absolute_error: 0.6889, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.726, kappa: 0.4511, kb_relative_information_score: 354.036, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7355, predictive_accuracy: 0.7303, prior_entropy: 0.9968, recall: 0.7303, relative_absolute_error: 0.8595, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.444, root_relative_squared_error: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.7254, kappa: 0.4499, kb_relative_information_score: 259.2156, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7353, predictive_accuracy: 0.7298, prior_entropy: 0.9968, recall: 0.7298, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Index 510 out of bounds for length 501
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7399, f_measure: 0.6698, kappa: 0.3411, kb_relative_information_score: 426.5222, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.683, predictive_accuracy: 0.6774, prior_entropy: 0.9968, recall: 0.6774, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.7122, kappa: 0.4212, kb_relative_information_score: 641.7991, mean_absolute_error: 0.3546, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7133, predictive_accuracy: 0.7135, prior_entropy: 0.9968, recall: 0.7135, relative_absolute_error: 0.7123, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7798, kappa: 0.5583, kb_relative_information_score: 532.1071, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7888, predictive_accuracy: 0.7827, prior_entropy: 0.9968, recall: 0.7827, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7382, kappa: 0.4739, kb_relative_information_score: 929.2675, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7421, predictive_accuracy: 0.7404, prior_entropy: 0.9968, recall: 0.7404, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.803, f_measure: 0.7098, kappa: 0.4177, kb_relative_information_score: 534.9771, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7164, predictive_accuracy: 0.7135, prior_entropy: 0.9968, recall: 0.7135, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, f_measure: 0.7857, kappa: 0.5715, kb_relative_information_score: 806.1159, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8018, predictive_accuracy: 0.7899, prior_entropy: 0.9968, recall: 0.7899, relative_absolute_error: 0.649, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.6979, kappa: 0.396, kb_relative_information_score: 679.1455, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7098, predictive_accuracy: 0.7038, prior_entropy: 0.9968, recall: 0.7038, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.7329, kappa: 0.4643, kb_relative_information_score: 371.4049, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7409, predictive_accuracy: 0.7365, prior_entropy: 0.9968, recall: 0.7365, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.8844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.7284, kappa: 0.4559, kb_relative_information_score: 273.3271, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7381, predictive_accuracy: 0.7327, prior_entropy: 0.9968, recall: 0.7327, relative_absolute_error: 0.8948, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Index -18 out of bounds for length 501
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.6713, kappa: 0.341, kb_relative_information_score: 441.8798, mean_absolute_error: 0.403, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.6778, predictive_accuracy: 0.676, prior_entropy: 0.9968, recall: 0.676, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7235, kappa: 0.444, kb_relative_information_score: 661.0924, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7253, predictive_accuracy: 0.725, prior_entropy: 0.9968, recall: 0.725, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7813, kappa: 0.5613, kb_relative_information_score: 550.7021, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7902, predictive_accuracy: 0.7841, prior_entropy: 0.9968, recall: 0.7841, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7439, kappa: 0.4851, kb_relative_information_score: 945.9283, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7469, predictive_accuracy: 0.7457, prior_entropy: 0.9968, recall: 0.7457, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7163, kappa: 0.4348, kb_relative_information_score: 562.0501, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7347, predictive_accuracy: 0.7236, prior_entropy: 0.9968, recall: 0.7236, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.7908, kappa: 0.5815, kb_relative_information_score: 820.1887, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8062, predictive_accuracy: 0.7947, prior_entropy: 0.9968, recall: 0.7947, relative_absolute_error: 0.6413, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7057, kappa: 0.4117, kb_relative_information_score: 731.9994, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7181, predictive_accuracy: 0.7115, prior_entropy: 0.9968, recall: 0.7115, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.422, root_relative_squared_error: 0.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.7311, kappa: 0.4606, kb_relative_information_score: 389.3368, mean_absolute_error: 0.4201, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7387, predictive_accuracy: 0.7346, prior_entropy: 0.9968, recall: 0.7346, relative_absolute_error: 0.844, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.7337, kappa: 0.4662, kb_relative_information_score: 287.7693, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7422, predictive_accuracy: 0.7375, prior_entropy: 0.9968, recall: 0.7375, relative_absolute_error: 0.8888, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.7194, kappa: 0.4357, kb_relative_information_score: 876.1412, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7206, predictive_accuracy: 0.7207, prior_entropy: 0.9968, recall: 0.7207, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.6676, kappa: 0.3364, kb_relative_information_score: 451.1471, mean_absolute_error: 0.4002, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.6801, predictive_accuracy: 0.675, prior_entropy: 0.9968, recall: 0.675, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7175, kappa: 0.4318, kb_relative_information_score: 673.9903, mean_absolute_error: 0.3462, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7187, predictive_accuracy: 0.7188, prior_entropy: 0.9968, recall: 0.7188, relative_absolute_error: 0.6955, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.7809, kappa: 0.5604, kb_relative_information_score: 568.6485, mean_absolute_error: 0.3813, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7895, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4088, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7534, kappa: 0.5041, kb_relative_information_score: 987.5762, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7557, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5319, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7172, kappa: 0.4326, kb_relative_information_score: 588.3427, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7236, predictive_accuracy: 0.7207, prior_entropy: 0.9968, recall: 0.7207, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.7823, kappa: 0.5642, kb_relative_information_score: 834.7522, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7956, predictive_accuracy: 0.7861, prior_entropy: 0.9968, recall: 0.7861, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7182, kappa: 0.4359, kb_relative_information_score: 729.3399, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.729, predictive_accuracy: 0.7231, prior_entropy: 0.9968, recall: 0.7231, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.7357, kappa: 0.4697, kb_relative_information_score: 409.2856, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7426, predictive_accuracy: 0.7389, prior_entropy: 0.9968, recall: 0.7389, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.435, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.7296, kappa: 0.4576, kb_relative_information_score: 304.987, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7372, predictive_accuracy: 0.7332, prior_entropy: 0.9968, recall: 0.7332, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7153, kappa: 0.4274, kb_relative_information_score: 864.2901, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7161, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.6604, kappa: 0.3184, kb_relative_information_score: 462.0235, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.665, predictive_accuracy: 0.6644, prior_entropy: 0.9968, recall: 0.6644, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7109, kappa: 0.4184, kb_relative_information_score: 685.0712, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7118, predictive_accuracy: 0.712, prior_entropy: 0.9968, recall: 0.712, relative_absolute_error: 0.6888, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7861, kappa: 0.5705, kb_relative_information_score: 587.9919, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7933, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7727, kappa: 0.5429, kb_relative_information_score: 1029.4176, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7754, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.715, kappa: 0.4325, kb_relative_information_score: 612.7463, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7345, predictive_accuracy: 0.7226, prior_entropy: 0.9968, recall: 0.7226, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.8423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.7837, kappa: 0.5671, kb_relative_information_score: 850.2096, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7972, predictive_accuracy: 0.7875, prior_entropy: 0.9968, recall: 0.7875, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7292, kappa: 0.4567, kb_relative_information_score: 799.2994, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7365, predictive_accuracy: 0.7327, prior_entropy: 0.9968, recall: 0.7327, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.727, kappa: 0.4522, kb_relative_information_score: 433.4752, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7335, predictive_accuracy: 0.7303, prior_entropy: 0.9968, recall: 0.7303, relative_absolute_error: 0.8238, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.7203, kappa: 0.439, kb_relative_information_score: 324.6404, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7277, predictive_accuracy: 0.724, prior_entropy: 0.9968, recall: 0.724, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7834, f_measure: 0.7082, kappa: 0.4131, kb_relative_information_score: 857.5324, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7087, predictive_accuracy: 0.7091, prior_entropy: 0.9968, recall: 0.7091, relative_absolute_error: 0.5888, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.6616, kappa: 0.3235, kb_relative_information_score: 471.2289, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.6717, predictive_accuracy: 0.6683, prior_entropy: 0.9968, recall: 0.6683, relative_absolute_error: 0.7918, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7042, kappa: 0.405, kb_relative_information_score: 697.2186, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7049, predictive_accuracy: 0.7053, prior_entropy: 0.9968, recall: 0.7053, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7898, kappa: 0.5782, kb_relative_information_score: 610.0807, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7978, predictive_accuracy: 0.7923, prior_entropy: 0.9968, recall: 0.7923, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.7674, kappa: 0.5323, kb_relative_information_score: 1052.3773, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7699, predictive_accuracy: 0.7688, prior_entropy: 0.9968, recall: 0.7688, relative_absolute_error: 0.5002, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7148, kappa: 0.4277, kb_relative_information_score: 637.0911, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.721, predictive_accuracy: 0.7183, prior_entropy: 0.9968, recall: 0.7183, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.7815, kappa: 0.5625, kb_relative_information_score: 867.1212, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7937, predictive_accuracy: 0.7851, prior_entropy: 0.9968, recall: 0.7851, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7316, kappa: 0.462, kb_relative_information_score: 803.6593, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7406, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7246, kappa: 0.4469, kb_relative_information_score: 458.5674, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7296, predictive_accuracy: 0.7274, prior_entropy: 0.9968, recall: 0.7274, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7884, f_measure: 0.7163, kappa: 0.4307, kb_relative_information_score: 348.5633, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7225, predictive_accuracy: 0.7197, prior_entropy: 0.9968, recall: 0.7197, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, f_measure: 0.7119, kappa: 0.4206, kb_relative_information_score: 867.1744, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7121, predictive_accuracy: 0.7125, prior_entropy: 0.9968, recall: 0.7125, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.6597, kappa: 0.3168, kb_relative_information_score: 485.6605, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.6638, predictive_accuracy: 0.6635, prior_entropy: 0.9968, recall: 0.6635, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.8969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.7082, kappa: 0.413, kb_relative_information_score: 712.7178, mean_absolute_error: 0.3356, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7087, predictive_accuracy: 0.7091, prior_entropy: 0.9968, recall: 0.7091, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.7931, kappa: 0.5845, kb_relative_information_score: 632.6362, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7995, predictive_accuracy: 0.7952, prior_entropy: 0.9968, recall: 0.7952, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.7471, kappa: 0.4914, kb_relative_information_score: 988.5142, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7493, predictive_accuracy: 0.7486, prior_entropy: 0.9968, recall: 0.7486, relative_absolute_error: 0.5286, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7208, kappa: 0.4431, kb_relative_information_score: 667.4076, mean_absolute_error: 0.3494, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7376, predictive_accuracy: 0.7274, prior_entropy: 0.9968, recall: 0.7274, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.7865, kappa: 0.5724, kb_relative_information_score: 889.8377, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7984, predictive_accuracy: 0.7899, prior_entropy: 0.9968, recall: 0.7899, relative_absolute_error: 0.604, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7622, kappa: 0.5231, kb_relative_information_score: 906.172, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7709, predictive_accuracy: 0.7654, prior_entropy: 0.9968, recall: 0.7654, relative_absolute_error: 0.5798, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.726, kappa: 0.4497, kb_relative_information_score: 483.7746, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7313, predictive_accuracy: 0.7288, prior_entropy: 0.9968, recall: 0.7288, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7123, kappa: 0.4227, kb_relative_information_score: 373.3834, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7187, predictive_accuracy: 0.7159, prior_entropy: 0.9968, recall: 0.7159, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.442, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8023, f_measure: 0.7157, kappa: 0.4281, kb_relative_information_score: 865.9502, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7159, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.5846, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7579, f_measure: 0.6601, kappa: 0.32, kb_relative_information_score: 513.4972, mean_absolute_error: 0.383, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.6692, predictive_accuracy: 0.6663, prior_entropy: 0.9968, recall: 0.6663, relative_absolute_error: 0.7695, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.8907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7133, kappa: 0.4234, kb_relative_information_score: 739.1395, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7142, predictive_accuracy: 0.7144, prior_entropy: 0.9968, recall: 0.7144, relative_absolute_error: 0.6617, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.7989, kappa: 0.5961, kb_relative_information_score: 658.0646, mean_absolute_error: 0.3597, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.8056, predictive_accuracy: 0.801, prior_entropy: 0.9968, recall: 0.801, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.7568, kappa: 0.5108, kb_relative_information_score: 1008.7169, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.4978, number_of_instances: 2080, precision: 0.7579, predictive_accuracy: 0.7577, prior_entropy: 0.9968, recall: 0.7577, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9113,

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