Task
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13324 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13324 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 426.9724, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.978, kappa: 0.9555, kb_relative_information_score: 422.8323, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9782, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.97, kappa: 0.9393, kb_relative_information_score: 420.809, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 0.991, recall: 0.97, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 443.8395, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 464.7837, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.2672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 444.1985, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 420.7829, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9761, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.974, kappa: 0.9474, kb_relative_information_score: 422.9502, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 447.7354, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.2912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 435.1221, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.1523, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.3212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.974, kappa: 0.9474, kb_relative_information_score: 426.2031, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.1737, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.164, root_relative_squared_error: 0.3301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 430.1244, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.1642, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.3259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.98, kappa: 0.9595, kb_relative_information_score: 449.4718, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.2928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 469.725, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9862, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0685, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.2528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 470.8708, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9862, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0658, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 428.8135, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.3263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.97, kappa: 0.9393, kb_relative_information_score: 421.431, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.97, predictive_accuracy: 0.97, prior_entropy: 0.991, recall: 0.97, relative_absolute_error: 0.184, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.7045, kappa: 0.4004, kb_relative_information_score: 110.0306, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.711, predictive_accuracy: 0.71, prior_entropy: 0.991, recall: 0.71, relative_absolute_error: 0.8094, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.7778, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8578, kappa: 0.7117, kb_relative_information_score: 296.6597, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.991, recall: 0.858, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.974, kappa: 0.9474, kb_relative_information_score: 458.0862, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9741, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.2968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9162, kappa: 0.8306, kb_relative_information_score: 389.3697, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.917, predictive_accuracy: 0.916, prior_entropy: 0.991, recall: 0.916, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.9017, kappa: 0.8005, kb_relative_information_score: 344.1659, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9023, predictive_accuracy: 0.902, prior_entropy: 0.991, recall: 0.902, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2827, root_relative_squared_error: 0.5691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.916, kappa: 0.8297, kb_relative_information_score: 360.3211, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.916, predictive_accuracy: 0.916, prior_entropy: 0.991, recall: 0.916, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.5311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4537, f_measure: 0.528, kappa: 0.0415, kb_relative_information_score: -17.0288, mean_absolute_error: 0.5155, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5269, predictive_accuracy: 0.53, prior_entropy: 0.991, recall: 0.53, relative_absolute_error: 1.0441, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6171, root_relative_squared_error: 1.2419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8764, kappa: 0.7489, kb_relative_information_score: 366.8171, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8839, predictive_accuracy: 0.878, prior_entropy: 0.991, recall: 0.878, relative_absolute_error: 0.2706, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.878, f_measure: 0.7986, kappa: 0.5944, kb_relative_information_score: 237.1396, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8014, predictive_accuracy: 0.798, prior_entropy: 0.991, recall: 0.798, relative_absolute_error: 0.5512, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8548, f_measure: 0.7589, kappa: 0.5102, kb_relative_information_score: 179.9771, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7635, predictive_accuracy: 0.762, prior_entropy: 0.991, recall: 0.762, relative_absolute_error: 0.6717, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7227, kappa: 0.4373, kb_relative_information_score: 134.9556, mean_absolute_error: 0.3756, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7303, predictive_accuracy: 0.728, prior_entropy: 0.991, recall: 0.728, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.7502, kappa: 0.4928, kb_relative_information_score: 167.7104, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.756, predictive_accuracy: 0.754, prior_entropy: 0.991, recall: 0.754, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7152, kappa: 0.4222, kb_relative_information_score: 166.6394, mean_absolute_error: 0.3395, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7151, predictive_accuracy: 0.716, prior_entropy: 0.991, recall: 0.716, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9174, kappa: 0.8322, kb_relative_information_score: 388.7605, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9208, predictive_accuracy: 0.918, prior_entropy: 0.991, recall: 0.918, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 455.78, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9862, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1327, root_relative_squared_error: 0.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 469.3431, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9862, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1231, root_relative_squared_error: 0.2477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 477.2208, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9862, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0502, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 476.6917, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 471.5802, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 455.8295, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.1018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.98, kappa: 0.9595, kb_relative_information_score: 473.9091, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.2622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 474.2249, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.2409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.1679, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.115, root_relative_squared_error: 0.2315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 472.5511, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0636, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1176, root_relative_squared_error: 0.2367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 455.5413, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.1051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.2663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 468.9313, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.2639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7973, f_measure: 0.6906, kappa: 0.3878, kb_relative_information_score: 150.5705, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7443, predictive_accuracy: 0.712, prior_entropy: 0.991, recall: 0.712, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9282, kappa: 0.855, kb_relative_information_score: 380.9328, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9294, predictive_accuracy: 0.928, prior_entropy: 0.991, recall: 0.928, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.236, root_relative_squared_error: 0.4749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, kb_relative_information_score: 14.9488, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 467.7662, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0724, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1309, root_relative_squared_error: 0.2635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 472.3984, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0618, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.2475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 468.4824, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 468.6583, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.2526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 459.8744, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1321, root_relative_squared_error: 0.2658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 465.2874, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0785, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.2623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, f_measure: 0.7968, kappa: 0.5873, kb_relative_information_score: 237.7964, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.798, predictive_accuracy: 0.798, prior_entropy: 0.991, recall: 0.798, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 445.8061, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9862, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.2811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 472.0968, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0606, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1313, root_relative_squared_error: 0.2642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 453.3486, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.111, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.2714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 475.7385, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.2454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 475.482, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.2425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 469.0856, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9862, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.2488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.982, kappa: 0.9636, kb_relative_information_score: 456.0339, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9821, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.1016, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 465.1407, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.98, kappa: 0.9595, kb_relative_information_score: 470.4796, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.2743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 473.2034, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9862, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.123, root_relative_squared_error: 0.2475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 470.1607, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 455.2841, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.104, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.2784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.7509, kappa: 0.4948, kb_relative_information_score: 201.5111, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7606, predictive_accuracy: 0.756, prior_entropy: 0.991, recall: 0.756, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3904, root_relative_squared_error: 0.7857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.98, kappa: 0.9595, kb_relative_information_score: 470.0166, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.0651, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 467.0207, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.2553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 470.9029, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.2447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 472.8056, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0592, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.2639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 470.3804, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.2535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.984, kappa: 0.9677, kb_relative_information_score: 449.8957, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9842, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8055, kappa: 0.6055, kb_relative_information_score: 246.8307, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8056, predictive_accuracy: 0.806, prior_entropy: 0.991, recall: 0.806, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, kb_relative_information_score: -0.0057, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.974, kappa: 0.9473, kb_relative_information_score: 17.0337, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.9756, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4818, root_relative_squared_error: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.972, kappa: 0.9433, kb_relative_information_score: 470.8194, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.991, recall: 0.972, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.164, root_relative_squared_error: 0.3301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.972, kappa: 0.9433, kb_relative_information_score: 471.9712, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.991, recall: 0.972, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.3273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.972, kappa: 0.9432, kb_relative_information_score: 470.1413, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9721, predictive_accuracy: 0.972, prior_entropy: 0.991, recall: 0.972, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.3316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.974, kappa: 0.9474, kb_relative_information_score: 230.6789, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.974, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.988, kappa: 0.9758, kb_relative_information_score: 148.0099, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.962, kappa: 0.9229, kb_relative_information_score: 465.9185, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9621, predictive_accuracy: 0.962, prior_entropy: 0.991, recall: 0.962, relative_absolute_error: 0.0679, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.978, kappa: 0.9555, kb_relative_information_score: 462.8639, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.2872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.972, kappa: 0.9432, kb_relative_information_score: 472.6909, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.991, recall: 0.972, relative_absolute_error: 0.0542, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.978, kappa: 0.9555, kb_relative_information_score: 214.896, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.6517, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.98, kappa: 0.9595, kb_relative_information_score: 222.0741, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.972, kappa: 0.9432, kb_relative_information_score: 472.4816, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9721, predictive_accuracy: 0.972, prior_entropy: 0.991, recall: 0.972, relative_absolute_error: 0.0547, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 475.4385, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 0.991, recall: 0.976, relative_absolute_error: 0.0489, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.978, kappa: 0.9555, kb_relative_information_score: 467.7078, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.2876,

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