Task
Supervised Classification on biomed

Supervised Classification on biomed

Task 3570 Supervised Classification biomed 508 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.855, kappa: 0.6825, kb_relative_information_score: 131.3794, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8552, predictive_accuracy: 0.8565, prior_entropy: 0.9428, recall: 0.8565, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.786, f_measure: 0.8275, kappa: 0.6173, kb_relative_information_score: 94.5988, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8505, predictive_accuracy: 0.8373, prior_entropy: 0.9428, recall: 0.8373, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8831, kappa: 0.7429, kb_relative_information_score: 130.0374, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8857, predictive_accuracy: 0.8852, prior_entropy: 0.9428, recall: 0.8852, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.856, kappa: 0.6862, kb_relative_information_score: 141.3794, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8557, predictive_accuracy: 0.8565, prior_entropy: 0.9428, recall: 0.8565, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8983, kappa: 0.7771, kb_relative_information_score: 143.3593, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8994, predictive_accuracy: 0.8995, prior_entropy: 0.9428, recall: 0.8995, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8739, kappa: 0.7232, kb_relative_information_score: 136.4601, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.875, predictive_accuracy: 0.8756, prior_entropy: 0.9428, recall: 0.8756, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, f_measure: 0.8878, kappa: 0.7529, kb_relative_information_score: 140.1016, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8912, predictive_accuracy: 0.89, prior_entropy: 0.9428, recall: 0.89, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8979, kappa: 0.7757, kb_relative_information_score: 141.5316, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.9001, predictive_accuracy: 0.8995, prior_entropy: 0.9428, recall: 0.8995, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.5965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8856, kappa: 0.7467, kb_relative_information_score: 157.1385, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8992, predictive_accuracy: 0.89, prior_entropy: 0.9428, recall: 0.89, relative_absolute_error: 0.2437, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.8656, kappa: 0.7071, kb_relative_information_score: 136.9308, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8654, predictive_accuracy: 0.866, prior_entropy: 0.9428, recall: 0.866, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8909, kappa: 0.7585, kb_relative_information_score: 157.2659, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.903, predictive_accuracy: 0.8947, prior_entropy: 0.9428, recall: 0.8947, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8671, kappa: 0.7063, kb_relative_information_score: 135.7098, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8738, predictive_accuracy: 0.8708, prior_entropy: 0.9428, recall: 0.8708, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.9276, kappa: 0.8417, kb_relative_information_score: 175.8104, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.9282, predictive_accuracy: 0.9282, prior_entropy: 0.9428, recall: 0.9282, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.5392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.8775, kappa: 0.7297, kb_relative_information_score: 143.7735, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8824, predictive_accuracy: 0.8804, prior_entropy: 0.9428, recall: 0.8804, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8677, kappa: 0.7081, kb_relative_information_score: 140.9725, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8723, predictive_accuracy: 0.8708, prior_entropy: 0.9428, recall: 0.8708, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8862, kappa: 0.7483, kb_relative_information_score: 157.6796, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8965, predictive_accuracy: 0.89, prior_entropy: 0.9428, recall: 0.89, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.845, kappa: 0.6565, kb_relative_information_score: 137.9068, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8592, predictive_accuracy: 0.8517, prior_entropy: 0.9428, recall: 0.8517, relative_absolute_error: 0.3279, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.881, kappa: 0.7365, kb_relative_information_score: 154.0453, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8925, predictive_accuracy: 0.8852, prior_entropy: 0.9428, recall: 0.8852, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8797, kappa: 0.7332, kb_relative_information_score: 121.1994, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8987, predictive_accuracy: 0.8852, prior_entropy: 0.9428, recall: 0.8852, relative_absolute_error: 0.4419, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8775, kappa: 0.7297, kb_relative_information_score: 149.5739, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8824, predictive_accuracy: 0.8804, prior_entropy: 0.9428, recall: 0.8804, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8887, kappa: 0.7558, kb_relative_information_score: 137.7302, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8896, predictive_accuracy: 0.89, prior_entropy: 0.9428, recall: 0.89, relative_absolute_error: 0.3559, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.6031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9065, kappa: 0.7933, kb_relative_information_score: 115.9638, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.9149, predictive_accuracy: 0.9091, prior_entropy: 0.9428, recall: 0.9091, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.6162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4745, f_measure: 0.501, kb_relative_information_score: -0.2419, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.4111, predictive_accuracy: 0.6411, prior_entropy: 0.9428, recall: 0.6411, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4798, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8664, kappa: 0.7045, kb_relative_information_score: 125.4764, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8757, predictive_accuracy: 0.8708, prior_entropy: 0.9428, recall: 0.8708, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8703, kappa: 0.7128, kb_relative_information_score: 131.0768, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8847, predictive_accuracy: 0.8756, prior_entropy: 0.9428, recall: 0.8756, relative_absolute_error: 0.3797, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3184, root_relative_squared_error: 0.6638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8474, kappa: 0.6628, kb_relative_information_score: 124.9602, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8532, predictive_accuracy: 0.8517, prior_entropy: 0.9428, recall: 0.8517, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8856, kappa: 0.7467, kb_relative_information_score: 156.9031, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8992, predictive_accuracy: 0.89, prior_entropy: 0.9428, recall: 0.89, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8734, kappa: 0.7215, kb_relative_information_score: 139.2515, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8757, predictive_accuracy: 0.8756, prior_entropy: 0.9428, recall: 0.8756, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.6792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8862, kappa: 0.7483, kb_relative_information_score: 156.9475, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8965, predictive_accuracy: 0.89, prior_entropy: 0.9428, recall: 0.89, relative_absolute_error: 0.2427, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.8591, kappa: 0.6903, kb_relative_information_score: 131.6184, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8604, predictive_accuracy: 0.8612, prior_entropy: 0.9428, recall: 0.8612, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.8637, kappa: 0.7001, kb_relative_information_score: 145.8711, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8657, predictive_accuracy: 0.866, prior_entropy: 0.9428, recall: 0.866, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8856, kappa: 0.7467, kb_relative_information_score: 156.9655, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8992, predictive_accuracy: 0.89, prior_entropy: 0.9428, recall: 0.89, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.8717, kappa: 0.7163, kb_relative_information_score: 150.3627, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8798, predictive_accuracy: 0.8756, prior_entropy: 0.9428, recall: 0.8756, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.908, kappa: 0.7983, kb_relative_information_score: 140.6923, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.9092, predictive_accuracy: 0.9091, prior_entropy: 0.9428, recall: 0.9091, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.895, kappa: 0.7726, kb_relative_information_score: 153.4882, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8955, predictive_accuracy: 0.8947, prior_entropy: 0.9428, recall: 0.8947, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8891, kappa: 0.7573, kb_relative_information_score: 148.201, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8893, predictive_accuracy: 0.89, prior_entropy: 0.9428, recall: 0.89, relative_absolute_error: 0.2967, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.8785, kappa: 0.733, kb_relative_information_score: 152.6085, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8803, predictive_accuracy: 0.8804, prior_entropy: 0.9428, recall: 0.8804, relative_absolute_error: 0.2597, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3459, root_relative_squared_error: 0.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8862, kappa: 0.7483, kb_relative_information_score: 157.5621, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8965, predictive_accuracy: 0.89, prior_entropy: 0.9428, recall: 0.89, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.307, root_relative_squared_error: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8994, kappa: 0.781, kb_relative_information_score: 161.5918, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8993, predictive_accuracy: 0.8995, prior_entropy: 0.9428, recall: 0.8995, relative_absolute_error: 0.2182, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8677, kappa: 0.7081, kb_relative_information_score: 148.1169, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8723, predictive_accuracy: 0.8708, prior_entropy: 0.9428, recall: 0.8708, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.8176, kappa: 0.6025, kb_relative_information_score: 123.4128, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8172, predictive_accuracy: 0.8182, prior_entropy: 0.9428, recall: 0.8182, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.8209, kappa: 0.6072, kb_relative_information_score: 125.6586, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8208, predictive_accuracy: 0.823, prior_entropy: 0.9428, recall: 0.823, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.7872, kappa: 0.5294, kb_relative_information_score: 112.1837, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.7922, predictive_accuracy: 0.7943, prior_entropy: 0.9428, recall: 0.7943, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7883, kappa: 0.5323, kb_relative_information_score: 112.1837, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.7915, predictive_accuracy: 0.7943, prior_entropy: 0.9428, recall: 0.7943, relative_absolute_error: 0.4467, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.8496, kappa: 0.6665, kb_relative_information_score: 141.3794, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8661, predictive_accuracy: 0.8565, prior_entropy: 0.9428, recall: 0.8565, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.7946, kappa: 0.5473, kb_relative_information_score: 114.4295, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.796, predictive_accuracy: 0.799, prior_entropy: 0.9428, recall: 0.799, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.8458, kappa: 0.6586, kb_relative_information_score: 139.1336, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8568, predictive_accuracy: 0.8517, prior_entropy: 0.9428, recall: 0.8517, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.8259, kappa: 0.6146, kb_relative_information_score: 130.1503, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8356, predictive_accuracy: 0.8325, prior_entropy: 0.9428, recall: 0.8325, relative_absolute_error: 0.3636, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7955, kappa: 0.5501, kb_relative_information_score: 114.4295, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.7959, predictive_accuracy: 0.799, prior_entropy: 0.9428, recall: 0.799, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.8298, kappa: 0.6363, kb_relative_information_score: 127.9045, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8357, predictive_accuracy: 0.8278, prior_entropy: 0.9428, recall: 0.8278, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.8458, kappa: 0.6586, kb_relative_information_score: 139.1336, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8568, predictive_accuracy: 0.8517, prior_entropy: 0.9428, recall: 0.8517, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.8029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7955, kappa: 0.5501, kb_relative_information_score: 114.4295, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.7959, predictive_accuracy: 0.799, prior_entropy: 0.9428, recall: 0.799, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7955, kappa: 0.5501, kb_relative_information_score: 114.4295, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.7959, predictive_accuracy: 0.799, prior_entropy: 0.9428, recall: 0.799, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7955, kappa: 0.5501, kb_relative_information_score: 114.4295, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.7959, predictive_accuracy: 0.799, prior_entropy: 0.9428, recall: 0.799, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7955, kappa: 0.5501, kb_relative_information_score: 114.4295, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.7959, predictive_accuracy: 0.799, prior_entropy: 0.9428, recall: 0.799, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7955, kappa: 0.5501, kb_relative_information_score: 114.4295, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.7959, predictive_accuracy: 0.799, prior_entropy: 0.9428, recall: 0.799, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7955, kappa: 0.5501, kb_relative_information_score: 114.4295, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.7959, predictive_accuracy: 0.799, prior_entropy: 0.9428, recall: 0.799, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7955, kappa: 0.5501, kb_relative_information_score: 114.4295, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.7959, predictive_accuracy: 0.799, prior_entropy: 0.9428, recall: 0.799, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7955, kappa: 0.5501, kb_relative_information_score: 114.4295, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.7959, predictive_accuracy: 0.799, prior_entropy: 0.9428, recall: 0.799, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.7955, kappa: 0.5501, kb_relative_information_score: 114.4295, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.7959, predictive_accuracy: 0.799, prior_entropy: 0.9428, recall: 0.799, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4483, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.6305, kappa: 0.2076, kb_relative_information_score: 33.5798, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.636, predictive_accuracy: 0.6268, prior_entropy: 0.9428, recall: 0.6268, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.6109, root_relative_squared_error: 1.2736, scimark_benchmark: 1697.6783, usercpu_time_millis: 15281.25, usercpu_time_millis_training: 15281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.501, kb_relative_information_score: 40.3172, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.4111, predictive_accuracy: 0.6411, prior_entropy: 0.9428, recall: 0.6411, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.599, root_relative_squared_error: 1.2489, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.501, kb_relative_information_score: 40.3172, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.4111, predictive_accuracy: 0.6411, prior_entropy: 0.9428, recall: 0.6411, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.599, root_relative_squared_error: 1.2489, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.501, kb_relative_information_score: 40.3172, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.4111, predictive_accuracy: 0.6411, prior_entropy: 0.9428, recall: 0.6411, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.599, root_relative_squared_error: 1.2489, scimark_benchmark: 1348.1104, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.501, kb_relative_information_score: 40.3172, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.4111, predictive_accuracy: 0.6411, prior_entropy: 0.9428, recall: 0.6411, relative_absolute_error: 0.7792, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.599, root_relative_squared_error: 1.2489, scimark_benchmark: 1610.5308, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6062, f_measure: 0.6305, kappa: 0.2076, kb_relative_information_score: 33.5798, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.636, predictive_accuracy: 0.6268, prior_entropy: 0.9428, recall: 0.6268, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.6109, root_relative_squared_error: 1.2736, scimark_benchmark: 1383.3289, usercpu_time_millis: 15350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 15340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.8403, kappa: 0.6497, kb_relative_information_score: 122.7105, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8405, predictive_accuracy: 0.8421, prior_entropy: 0.9428, recall: 0.8421, relative_absolute_error: 0.4198, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7812, scimark_benchmark: 1918.4916, usercpu_time_millis: 687.5, usercpu_time_millis_training: 687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.8499, kappa: 0.6709, kb_relative_information_score: 135.0973, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8503, predictive_accuracy: 0.8517, prior_entropy: 0.9428, recall: 0.8517, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.7176, scimark_benchmark: 1918.4916, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.8756, kappa: 0.7297, kb_relative_information_score: 150.3627, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8756, predictive_accuracy: 0.8756, prior_entropy: 0.9428, recall: 0.8756, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7353, scimark_benchmark: 1427.64, usercpu_time_millis: 4046.875, usercpu_time_millis_training: 4046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.8363, kappa: 0.6423, kb_relative_information_score: 129.8229, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8359, predictive_accuracy: 0.8373, prior_entropy: 0.9428, recall: 0.8373, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.6902, scimark_benchmark: 1255.8196, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8862, kappa: 0.7483, kb_relative_information_score: 157.5621, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8965, predictive_accuracy: 0.89, prior_entropy: 0.9428, recall: 0.89, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.307, root_relative_squared_error: 0.64, scimark_benchmark: 1209.8813, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8585, kappa: 0.6884, kb_relative_information_score: 143.6252, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8611, predictive_accuracy: 0.8612, prior_entropy: 0.9428, recall: 0.8612, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7766, 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: 0.8352, f_measure: 0.855, kappa: 0.6825, kb_relative_information_score: 141.3794, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8552, predictive_accuracy: 0.8565, prior_entropy: 0.9428, recall: 0.8565, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7899, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8408, kappa: 0.6518, kb_relative_information_score: 122.7953, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8406, predictive_accuracy: 0.8421, prior_entropy: 0.9428, recall: 0.8421, relative_absolute_error: 0.4247, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7493, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8794, kappa: 0.7362, kb_relative_information_score: 143.1151, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8795, predictive_accuracy: 0.8804, prior_entropy: 0.9428, recall: 0.8804, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6318, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.8596, kappa: 0.6921, kb_relative_information_score: 142.4066, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8601, predictive_accuracy: 0.8612, prior_entropy: 0.9428, recall: 0.8612, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7726, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9037, kappa: 0.7896, kb_relative_information_score: 166.2301, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.9038, predictive_accuracy: 0.9043, prior_entropy: 0.9428, recall: 0.9043, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.5728, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8545, kappa: 0.6806, kb_relative_information_score: 129.7811, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8553, predictive_accuracy: 0.8565, prior_entropy: 0.9428, recall: 0.8565, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7395, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8487, kappa: 0.6669, kb_relative_information_score: 118.4593, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8511, predictive_accuracy: 0.8517, prior_entropy: 0.9428, recall: 0.8517, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7412, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8933, kappa: 0.7657, kb_relative_information_score: 138.5289, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8948, predictive_accuracy: 0.8947, prior_entropy: 0.9428, recall: 0.8947, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2755, root_relative_squared_error: 0.5744, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8909, kappa: 0.7585, kb_relative_information_score: 157.2659, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.903, predictive_accuracy: 0.8947, prior_entropy: 0.9428, recall: 0.8947, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6407, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.878, kappa: 0.7314, kb_relative_information_score: 138.3094, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8812, predictive_accuracy: 0.8804, prior_entropy: 0.9428, recall: 0.8804, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6882, 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: 0.9456, f_measure: 0.8862, kappa: 0.7483, kb_relative_information_score: 157.5621, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8965, predictive_accuracy: 0.89, prior_entropy: 0.9428, recall: 0.89, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.307, root_relative_squared_error: 0.64, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.8637, kappa: 0.7001, kb_relative_information_score: 145.8711, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8657, predictive_accuracy: 0.866, prior_entropy: 0.9428, recall: 0.866, relative_absolute_error: 0.2909, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7631, 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: 0.8352, f_measure: 0.855, kappa: 0.6825, kb_relative_information_score: 141.3794, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8552, predictive_accuracy: 0.8565, prior_entropy: 0.9428, recall: 0.8565, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7899, 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: 0.8758, f_measure: 0.8408, kappa: 0.6518, kb_relative_information_score: 122.8243, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8406, predictive_accuracy: 0.8421, prior_entropy: 0.9428, recall: 0.8421, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7491, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8794, kappa: 0.7362, kb_relative_information_score: 143.1151, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8795, predictive_accuracy: 0.8804, prior_entropy: 0.9428, recall: 0.8804, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6318, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.8596, kappa: 0.6921, kb_relative_information_score: 142.4066, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8601, predictive_accuracy: 0.8612, prior_entropy: 0.9428, recall: 0.8612, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7726, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9037, kappa: 0.7896, kb_relative_information_score: 166.2301, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.9038, predictive_accuracy: 0.9043, prior_entropy: 0.9428, recall: 0.9043, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.5728, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.8831, kappa: 0.7429, kb_relative_information_score: 142.6882, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8857, predictive_accuracy: 0.8852, prior_entropy: 0.9428, recall: 0.8852, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6816, 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: 0.8442, f_measure: 0.8487, kappa: 0.6669, kb_relative_information_score: 118.4593, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8511, predictive_accuracy: 0.8517, prior_entropy: 0.9428, recall: 0.8517, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7412, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8882, kappa: 0.7544, kb_relative_information_score: 139.3248, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8902, predictive_accuracy: 0.89, prior_entropy: 0.9428, recall: 0.89, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5673, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.8909, kappa: 0.7585, kb_relative_information_score: 157.2659, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.903, predictive_accuracy: 0.8947, prior_entropy: 0.9428, recall: 0.8947, relative_absolute_error: 0.2405, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6407, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.878, kappa: 0.7314, kb_relative_information_score: 138.3094, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8812, predictive_accuracy: 0.8804, prior_entropy: 0.9428, recall: 0.8804, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6882, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9037, kappa: 0.7896, kb_relative_information_score: 166.2301, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.9038, predictive_accuracy: 0.9043, prior_entropy: 0.9428, recall: 0.9043, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.5728, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8408, kappa: 0.6518, kb_relative_information_score: 122.798, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8406, predictive_accuracy: 0.8421, prior_entropy: 0.9428, recall: 0.8421, relative_absolute_error: 0.4246, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.7493, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9276, kappa: 0.8417, kb_relative_information_score: 170.4314, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.9282, predictive_accuracy: 0.9282, prior_entropy: 0.9428, recall: 0.9282, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.5299, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.8706, kappa: 0.7184, kb_relative_information_score: 137.9099, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4605, number_of_instances: 209, precision: 0.8705, predictive_accuracy: 0.8708, prior_entropy: 0.9428, recall: 0.8708, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.7099, scimark_benchmark: 1788.6668,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs