OpenML
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 19089 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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19089 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.7556, kappa: 0.1265, kb_relative_information_score: 525.5768, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7773, predictive_accuracy: 0.813, prior_entropy: 0.7088, recall: 0.813, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.9734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7775, kappa: 0.2157, kb_relative_information_score: -12010.1626, mean_absolute_error: 0.4809, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7787, predictive_accuracy: 0.8134, prior_entropy: 0.7088, recall: 0.8134, relative_absolute_error: 1.5407, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4815, root_relative_squared_error: 1.2189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6474, f_measure: 0.742, kappa: 0.0763, kb_relative_information_score: -120.5851, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7798, predictive_accuracy: 0.8113, prior_entropy: 0.7088, recall: 0.8113, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.9717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.7685, kappa: 0.1745, kb_relative_information_score: 652.3123, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7887, predictive_accuracy: 0.818, prior_entropy: 0.7088, recall: 0.818, relative_absolute_error: 0.8607, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.7864, kappa: 0.2491, kb_relative_information_score: 900.4125, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7893, predictive_accuracy: 0.8192, prior_entropy: 0.7088, recall: 0.8192, relative_absolute_error: 0.818, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7786, kappa: 0.2214, kb_relative_information_score: 686.2922, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.813, prior_entropy: 0.7088, recall: 0.813, relative_absolute_error: 0.8309, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, f_measure: 0.7472, kappa: 0.095, kb_relative_information_score: 479.7419, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.78, predictive_accuracy: 0.8123, prior_entropy: 0.7088, recall: 0.8123, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7735, kappa: 0.1983, kb_relative_information_score: 568.1913, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7781, predictive_accuracy: 0.8138, prior_entropy: 0.7088, recall: 0.8138, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4727, f_measure: 0.7259, kappa: 0.02, kb_relative_information_score: 171.3701, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8068, predictive_accuracy: 0.8085, prior_entropy: 0.7088, recall: 0.8085, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.7892, kappa: 0.2595, kb_relative_information_score: 842.3035, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7925, predictive_accuracy: 0.821, prior_entropy: 0.7088, recall: 0.821, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.365, root_relative_squared_error: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, kb_relative_information_score: -16.1275, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.7296, kappa: 0.0328, kb_relative_information_score: 3034.8431, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7938, predictive_accuracy: 0.8093, prior_entropy: 0.7088, recall: 0.8093, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4367, root_relative_squared_error: 1.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7806, kappa: 0.2234, kb_relative_information_score: 541.4209, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7891, predictive_accuracy: 0.8194, prior_entropy: 0.7088, recall: 0.8194, relative_absolute_error: 0.8507, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.9228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.7394, kappa: 0.0673, kb_relative_information_score: -73.2293, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7859, predictive_accuracy: 0.8114, prior_entropy: 0.7088, recall: 0.8114, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.9736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.7564, kappa: 0.1295, kb_relative_information_score: -11060.4138, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7773, predictive_accuracy: 0.8131, prior_entropy: 0.7088, recall: 0.8131, relative_absolute_error: 1.4788, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4637, root_relative_squared_error: 1.1737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 0.9413, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.395, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6226, f_measure: 0.7373, kappa: 0.0596, kb_relative_information_score: 373.8195, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7844, predictive_accuracy: 0.8107, prior_entropy: 0.7088, recall: 0.8107, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.9815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4358, kb_relative_information_score: -349.7208, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4013, root_relative_squared_error: 1.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.773, kappa: 0.2079, kb_relative_information_score: -12760.7797, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7662, predictive_accuracy: 0.8028, prior_entropy: 0.7088, recall: 0.8028, relative_absolute_error: 1.5926, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.2585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.7196, kappa: -0.002, kb_relative_information_score: -196.1744, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6503, predictive_accuracy: 0.8055, prior_entropy: 0.7088, recall: 0.8055, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.393, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.7618, kappa: 0.1519, kb_relative_information_score: -9962.4475, mean_absolute_error: 0.4423, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7702, predictive_accuracy: 0.8108, prior_entropy: 0.7088, recall: 0.8108, relative_absolute_error: 1.4171, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4477, root_relative_squared_error: 1.1334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5314, kb_relative_information_score: -315.5295, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4841, kb_relative_information_score: -168.0373, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3965, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.7204, kappa: 0.0008, kb_relative_information_score: 6.1297, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.844, predictive_accuracy: 0.8066, prior_entropy: 0.7088, recall: 0.8066, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.7407, kappa: 0.0716, kb_relative_information_score: -284.0274, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7642, predictive_accuracy: 0.8088, prior_entropy: 0.7088, recall: 0.8088, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.7826, kappa: 0.2482, kb_relative_information_score: 692.8764, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7761, predictive_accuracy: 0.8067, prior_entropy: 0.7088, recall: 0.8067, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.9502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7783, kappa: 0.2146, kb_relative_information_score: 716.3304, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7868, predictive_accuracy: 0.8182, prior_entropy: 0.7088, recall: 0.8182, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.7743, kappa: 0.2401, kb_relative_information_score: -11232.318, mean_absolute_error: 0.4655, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7658, predictive_accuracy: 0.7881, prior_entropy: 0.7088, recall: 0.7881, relative_absolute_error: 1.4915, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4678, root_relative_squared_error: 1.1843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4369, kb_relative_information_score: 113.9798, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3961, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, f_measure: 0.733, kappa: 0.0443, kb_relative_information_score: 3046.1847, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7818, predictive_accuracy: 0.8096, prior_entropy: 0.7088, recall: 0.8096, relative_absolute_error: 0.6102, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4364, root_relative_squared_error: 1.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6623, f_measure: 0.7381, kappa: 0.0624, kb_relative_information_score: -220.0031, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7566, predictive_accuracy: 0.8073, prior_entropy: 0.7088, recall: 0.8073, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.7794, kappa: 0.218, kb_relative_information_score: 827.2938, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7906, predictive_accuracy: 0.82, prior_entropy: 0.7088, recall: 0.82, relative_absolute_error: 0.8373, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.363, root_relative_squared_error: 0.9191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.7117, kappa: 0.0004, kb_relative_information_score: -2222.1118, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.688, predictive_accuracy: 0.7453, prior_entropy: 0.7088, recall: 0.7453, relative_absolute_error: 1.1576, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4703, root_relative_squared_error: 1.1905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.7227, kappa: 0.0083, kb_relative_information_score: -243.354, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7252, predictive_accuracy: 0.8055, prior_entropy: 0.7088, recall: 0.8055, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.771, kappa: 0.1859, kb_relative_information_score: 663.9578, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7826, predictive_accuracy: 0.8161, prior_entropy: 0.7088, recall: 0.8161, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.7493, kappa: 0.103, kb_relative_information_score: -4524.987, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7751, predictive_accuracy: 0.8118, prior_entropy: 0.7088, recall: 0.8118, relative_absolute_error: 1.1608, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.7242, kappa: 0.0134, kb_relative_information_score: -159.3467, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7354, predictive_accuracy: 0.8058, prior_entropy: 0.7088, recall: 0.8058, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7641, kappa: 0.1593, kb_relative_information_score: 583.6918, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7787, predictive_accuracy: 0.8142, prior_entropy: 0.7088, recall: 0.8142, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7662, kappa: 0.1673, kb_relative_information_score: 625.3939, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7794, predictive_accuracy: 0.8146, prior_entropy: 0.7088, recall: 0.8146, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, f_measure: 0.7202, kappa: -0.0001, kb_relative_information_score: -35.6187, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6867, predictive_accuracy: 0.8056, prior_entropy: 0.7088, recall: 0.8056, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3909, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, kb_relative_information_score: -11.9392, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.395, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.7117, kappa: 0.0004, kb_relative_information_score: -2223.6647, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.688, predictive_accuracy: 0.7453, prior_entropy: 0.7088, recall: 0.7453, relative_absolute_error: 1.1577, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4701, root_relative_squared_error: 1.1901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4367, kb_relative_information_score: -93.0007, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3977, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.7737, kappa: 0.2439, kb_relative_information_score: -11355.7969, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.766, predictive_accuracy: 0.7849, prior_entropy: 0.7088, recall: 0.7849, relative_absolute_error: 1.5004, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4457, f_measure: 0.7199, kappa: -0.0009, kb_relative_information_score: 412.8264, mean_absolute_error: 0.2932, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6504, predictive_accuracy: 0.8061, prior_entropy: 0.7088, recall: 0.8061, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3992, root_relative_squared_error: 1.0105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.777, kappa: 0.2077, kb_relative_information_score: 783.0066, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7914, predictive_accuracy: 0.8201, prior_entropy: 0.7088, recall: 0.8201, relative_absolute_error: 0.8438, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.7797, kappa: 0.2188, kb_relative_information_score: 774.5991, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7914, predictive_accuracy: 0.8204, prior_entropy: 0.7088, recall: 0.8204, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.7578, kappa: 0.1347, kb_relative_information_score: -9324.7411, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7772, predictive_accuracy: 0.8132, prior_entropy: 0.7088, recall: 0.8132, relative_absolute_error: 1.3789, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4377, root_relative_squared_error: 1.1079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5482, kb_relative_information_score: -190.5554, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9621, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.7561, kappa: 0.1294, kb_relative_information_score: -8141.2216, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.769, predictive_accuracy: 0.8106, prior_entropy: 0.7088, recall: 0.8106, relative_absolute_error: 1.3178, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4235, root_relative_squared_error: 1.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.7873, kappa: 0.2622, kb_relative_information_score: -1011.7396, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7826, predictive_accuracy: 0.8122, prior_entropy: 0.7088, recall: 0.8122, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.7809, kappa: 0.2265, kb_relative_information_score: 698.9651, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7859, predictive_accuracy: 0.8176, prior_entropy: 0.7088, recall: 0.8176, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.7658, kappa: 0.2256, kb_relative_information_score: -11144.0827, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7592, predictive_accuracy: 0.7742, prior_entropy: 0.7088, recall: 0.7742, relative_absolute_error: 1.4895, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4686, root_relative_squared_error: 1.1863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6563, f_measure: 0.7349, kappa: 0.051, kb_relative_information_score: 306.0623, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7847, predictive_accuracy: 0.8102, prior_entropy: 0.7088, recall: 0.8102, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, f_measure: 0.7219, kappa: 0.0061, kb_relative_information_score: 35.5193, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8444, predictive_accuracy: 0.8073, prior_entropy: 0.7088, recall: 0.8073, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.7544, kappa: 0.1218, kb_relative_information_score: 683.5342, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7787, predictive_accuracy: 0.8132, prior_entropy: 0.7088, recall: 0.8132, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.7431, kappa: 0.0804, kb_relative_information_score: -69.5694, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7879, predictive_accuracy: 0.8125, prior_entropy: 0.7088, recall: 0.8125, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.7857, kappa: 0.2503, kb_relative_information_score: 760.1896, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7843, predictive_accuracy: 0.8153, prior_entropy: 0.7088, recall: 0.8153, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.7296, kappa: 0.0324, kb_relative_information_score: 230.8255, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7597, predictive_accuracy: 0.8074, prior_entropy: 0.7088, recall: 0.8074, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.7642, kappa: 0.1592, kb_relative_information_score: 578.1466, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7803, predictive_accuracy: 0.8148, prior_entropy: 0.7088, recall: 0.8148, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.7328, kappa: 0.0438, kb_relative_information_score: 283.2134, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7824, predictive_accuracy: 0.8096, prior_entropy: 0.7088, recall: 0.8096, relative_absolute_error: 0.9722, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.7616, kappa: 0.1508, kb_relative_information_score: -10557.1036, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7708, predictive_accuracy: 0.8111, prior_entropy: 0.7088, recall: 0.8111, relative_absolute_error: 1.4513, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4567, root_relative_squared_error: 1.1561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.784, kappa: 0.2384, kb_relative_information_score: 655.1976, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7886, predictive_accuracy: 0.819, prior_entropy: 0.7088, recall: 0.819, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.756, f_measure: 0.7869, kappa: 0.2496, kb_relative_information_score: 861.1946, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7916, predictive_accuracy: 0.8207, prior_entropy: 0.7088, recall: 0.8207, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7396, kappa: 0.0678, kb_relative_information_score: 436.2048, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7783, predictive_accuracy: 0.8107, prior_entropy: 0.7088, recall: 0.8107, relative_absolute_error: 0.9524, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.7421, kappa: 0.0768, kb_relative_information_score: -50.3766, mean_absolute_error: 0.2973, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7742, predictive_accuracy: 0.8106, prior_entropy: 0.7088, recall: 0.8106, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6785, f_measure: 0.7421, kappa: 0.0766, kb_relative_information_score: 492.9986, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7828, predictive_accuracy: 0.8117, prior_entropy: 0.7088, recall: 0.8117, relative_absolute_error: 0.9305, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3801, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.7859, kappa: 0.2555, kb_relative_information_score: 1271.4441, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7818, predictive_accuracy: 0.8123, prior_entropy: 0.7088, recall: 0.8123, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4078, root_relative_squared_error: 1.0324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, kb_relative_information_score: -181.3377, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.7841, kappa: 0.2551, kb_relative_information_score: 655.6682, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7773, predictive_accuracy: 0.8067, prior_entropy: 0.7088, recall: 0.8067, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4421, kb_relative_information_score: 232.393, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3967, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 0.9414, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.395, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kb_relative_information_score: 0.9414, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.395, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.7323, kappa: 0.042, kb_relative_information_score: 308.4179, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7934, predictive_accuracy: 0.81, prior_entropy: 0.7088, recall: 0.81, relative_absolute_error: 0.9724, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3887, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6224, f_measure: 0.7393, kappa: 0.0666, kb_relative_information_score: -131.4261, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7884, predictive_accuracy: 0.8116, prior_entropy: 0.7088, recall: 0.8116, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.385, root_relative_squared_error: 0.9746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.744, f_measure: 0.7755, kappa: 0.2051, kb_relative_information_score: 600.706, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7817, predictive_accuracy: 0.8156, prior_entropy: 0.7088, recall: 0.8156, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.7415, kappa: 0.0746, kb_relative_information_score: 336.8856, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7762, predictive_accuracy: 0.8107, prior_entropy: 0.7088, recall: 0.8107, relative_absolute_error: 0.9661, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.9829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.7242, kappa: 0.0139, kb_relative_information_score: 139.5482, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7666, predictive_accuracy: 0.8072, prior_entropy: 0.7088, recall: 0.8072, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7562, f_measure: 0.7727, kappa: 0.1922, kb_relative_information_score: 650.9697, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7848, predictive_accuracy: 0.8171, prior_entropy: 0.7088, recall: 0.8171, relative_absolute_error: 0.853, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.365, root_relative_squared_error: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.7876, kappa: 0.264, kb_relative_information_score: 781.6236, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7828, predictive_accuracy: 0.8121, prior_entropy: 0.7088, recall: 0.8121, relative_absolute_error: 0.8098, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, f_measure: 0.7219, kappa: 0.0059, kb_relative_information_score: 34.995, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8229, predictive_accuracy: 0.8072, prior_entropy: 0.7088, recall: 0.8072, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5705, kb_relative_information_score: 111.8888, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3964, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.7437, kappa: 0.0825, kb_relative_information_score: 460.4948, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7762, predictive_accuracy: 0.8111, prior_entropy: 0.7088, recall: 0.8111, relative_absolute_error: 0.9157, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.9539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7829, kappa: 0.2324, kb_relative_information_score: 583.3978, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7914, predictive_accuracy: 0.8206, prior_entropy: 0.7088, recall: 0.8206, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6291, f_measure: 0.7334, kappa: 0.0458, kb_relative_information_score: 290.1866, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7791, predictive_accuracy: 0.8095, prior_entropy: 0.7088, recall: 0.8095, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.389, root_relative_squared_error: 0.9846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.768, kappa: 0.1737, kb_relative_information_score: 628.0745, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7833, predictive_accuracy: 0.8162, prior_entropy: 0.7088, recall: 0.8162, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.735, kappa: 0.0515, kb_relative_information_score: 347.887, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7913, predictive_accuracy: 0.8107, prior_entropy: 0.7088, recall: 0.8107, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.7296, kappa: 0.0324, kb_relative_information_score: -11215.4911, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7674, predictive_accuracy: 0.808, prior_entropy: 0.7088, recall: 0.808, relative_absolute_error: 1.4887, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4665, root_relative_squared_error: 1.1809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.7219, kappa: 0.0061, kb_relative_information_score: 36.1227, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8444, predictive_accuracy: 0.8073, prior_entropy: 0.7088, recall: 0.8073, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.7715, kappa: 0.1936, kb_relative_information_score: -11107.461, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7714, predictive_accuracy: 0.8096, prior_entropy: 0.7088, recall: 0.8096, relative_absolute_error: 1.4838, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4654, root_relative_squared_error: 1.1782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.7771, kappa: 0.2525, kb_relative_information_score: 444.5408, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7692, predictive_accuracy: 0.7894, prior_entropy: 0.7088, recall: 0.7894, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.9939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.777, kappa: 0.2423, kb_relative_information_score: 638.2818, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7682, predictive_accuracy: 0.7941, prior_entropy: 0.7088, recall: 0.7941, relative_absolute_error: 0.8074, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.9811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7656, kappa: 0.167, kb_relative_information_score: -8930.1761, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7725, predictive_accuracy: 0.8116, prior_entropy: 0.7088, recall: 0.8116, relative_absolute_error: 1.3609, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4337, root_relative_squared_error: 1.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5114, f_measure: 0.7216, kappa: 0.0052, kb_relative_information_score: 28.5702, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8202, predictive_accuracy: 0.8071, prior_entropy: 0.7088, recall: 0.8071, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6234, f_measure: 0.7714, kappa: 0.244, kb_relative_information_score: -8738.3267, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7651, predictive_accuracy: 0.7796, prior_entropy: 0.7088, recall: 0.7796, relative_absolute_error: 1.3634, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4453, root_relative_squared_error: 1.1272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.37, f_measure: 0.7219, kappa: 0.0061, kb_relative_information_score: 28.4361, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8444, predictive_accuracy: 0.8073, prior_entropy: 0.7088, recall: 0.8073, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7752, kappa: 0.2088, kb_relative_information_score: 586.3989, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.774, predictive_accuracy: 0.8104, prior_entropy: 0.7088, recall: 0.8104, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.9399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.7799, kappa: 0.2508, kb_relative_information_score: -10962.8738, mean_absolute_error: 0.461, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7714, predictive_accuracy: 0.7973, prior_entropy: 0.7088, recall: 0.7973, relative_absolute_error: 1.477, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, kb_relative_information_score: -218.3868, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3968, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.786, kappa: 0.26, kb_relative_information_score: 633.1401, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7802, predictive_accuracy: 0.8096, prior_entropy: 0.7088, recall: 0.8096, relative_absolute_error: 0.7977, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0091,

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