OpenML
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 19004 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • 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
Issue #Downvotes for this reason By


Metric:

19004 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, kb_relative_information_score: 0.0001, mean_absolute_error: 0.311, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5844, kb_relative_information_score: 0.0001, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, 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: 0.7284, kb_relative_information_score: 0.0027, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5582, f_measure: 0.7649, kappa: 0.1629, kb_relative_information_score: 0.2934, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7758, predictive_accuracy: 0.8131, prior_entropy: 0.7087, recall: 0.8131, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5588, f_measure: 0.7654, kappa: 0.1647, kb_relative_information_score: 0.2959, mean_absolute_error: 0.1862, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7774, predictive_accuracy: 0.8138, prior_entropy: 0.7087, recall: 0.8138, relative_absolute_error: 0.5966, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.0924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5575, f_measure: 0.7645, kappa: 0.1611, kb_relative_information_score: 0.2941, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7763, predictive_accuracy: 0.8133, prior_entropy: 0.7087, recall: 0.8133, relative_absolute_error: 0.5981, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4321, root_relative_squared_error: 1.0938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5624, f_measure: 0.7678, kappa: 0.1738, kb_relative_information_score: 0.3, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.78, predictive_accuracy: 0.8149, prior_entropy: 0.7087, recall: 0.8149, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4303, root_relative_squared_error: 1.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, f_measure: 0.7778, kappa: 0.2138, kb_relative_information_score: 0.3066, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7838, predictive_accuracy: 0.8166, prior_entropy: 0.7087, recall: 0.8166, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.7792, kappa: 0.2199, kb_relative_information_score: 0.308, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7846, predictive_accuracy: 0.817, prior_entropy: 0.7087, recall: 0.817, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.0829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5672, f_measure: 0.7036, kappa: 0.118, kb_relative_information_score: -0.1849, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7262, predictive_accuracy: 0.6866, prior_entropy: 0.7087, recall: 0.6866, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5598, root_relative_squared_error: 1.4171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.6126, kappa: 0.0621, kb_relative_information_score: -0.6351, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7147, predictive_accuracy: 0.5676, prior_entropy: 0.7087, recall: 0.5676, relative_absolute_error: 1.3855, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6576, root_relative_squared_error: 1.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.7765, kappa: 0.2088, kb_relative_information_score: 0.0832, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8163, prior_entropy: 0.7087, recall: 0.8163, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.7765, kappa: 0.2088, kb_relative_information_score: 0.0832, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8163, prior_entropy: 0.7087, recall: 0.8163, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.7765, kappa: 0.2088, kb_relative_information_score: 0.0832, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8163, prior_entropy: 0.7087, recall: 0.8163, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.7765, kappa: 0.2088, kb_relative_information_score: 0.0832, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8163, prior_entropy: 0.7087, recall: 0.8163, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.7827, kappa: 0.2333, kb_relative_information_score: 0.3132, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7874, predictive_accuracy: 0.8184, prior_entropy: 0.7087, recall: 0.8184, relative_absolute_error: 0.5819, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.7765, kappa: 0.2088, kb_relative_information_score: 0.0832, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8163, prior_entropy: 0.7087, recall: 0.8163, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.7765, kappa: 0.2088, kb_relative_information_score: 0.0832, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.783, predictive_accuracy: 0.8163, prior_entropy: 0.7087, recall: 0.8163, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5473, f_measure: 0.6785, kappa: 0.0786, kb_relative_information_score: -0.3092, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7145, predictive_accuracy: 0.6537, prior_entropy: 0.7087, recall: 0.6537, relative_absolute_error: 1.1094, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5884, root_relative_squared_error: 1.4896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5508, f_measure: 0.7606, kappa: 0.1454, kb_relative_information_score: 0.2962, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7784, predictive_accuracy: 0.8139, prior_entropy: 0.7087, recall: 0.8139, relative_absolute_error: 0.5963, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4314, root_relative_squared_error: 1.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5845, f_measure: 0.7802, kappa: 0.2238, kb_relative_information_score: 0.3084, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7849, predictive_accuracy: 0.8171, prior_entropy: 0.7087, recall: 0.8171, relative_absolute_error: 0.586, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4277, root_relative_squared_error: 1.0827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, f_measure: 0.4447, kappa: 0.0193, kb_relative_information_score: -1.2465, mean_absolute_error: 0.5941, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.704, predictive_accuracy: 0.4059, prior_entropy: 0.7087, recall: 0.4059, relative_absolute_error: 1.9035, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7708, root_relative_squared_error: 1.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5604, f_measure: 0.7659, kappa: 0.1675, kb_relative_information_score: 0.2914, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7746, predictive_accuracy: 0.8126, prior_entropy: 0.7087, recall: 0.8126, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4329, root_relative_squared_error: 1.0959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.6614, kappa: 0.0829, kb_relative_information_score: -0.4051, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.718, predictive_accuracy: 0.6284, prior_entropy: 0.7087, recall: 0.6284, relative_absolute_error: 1.1906, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6096, root_relative_squared_error: 1.5432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.7834, kappa: 0.2378, kb_relative_information_score: 0.3098, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7861, predictive_accuracy: 0.8175, prior_entropy: 0.7087, recall: 0.8175, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4273, root_relative_squared_error: 1.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5833, kappa: -0.0007, kb_relative_information_score: -0.7594, mean_absolute_error: 0.4653, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6876, predictive_accuracy: 0.5347, prior_entropy: 0.7087, recall: 0.5347, relative_absolute_error: 1.4908, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6821, root_relative_squared_error: 1.7268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.7815, kappa: 0.2303, kb_relative_information_score: 0.3063, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7843, predictive_accuracy: 0.8165, prior_entropy: 0.7087, recall: 0.8165, relative_absolute_error: 0.5878, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4283, root_relative_squared_error: 1.0843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.577, f_measure: 0.776, kappa: 0.207, kb_relative_information_score: 0.3042, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7824, predictive_accuracy: 0.816, prior_entropy: 0.7087, recall: 0.816, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.429, root_relative_squared_error: 1.0859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.7601, kappa: 0.1442, kb_relative_information_score: 0.2917, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7749, predictive_accuracy: 0.8127, prior_entropy: 0.7087, recall: 0.8127, relative_absolute_error: 0.6002, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4328, root_relative_squared_error: 1.0956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.7053, kappa: 0.1099, kb_relative_information_score: -0.1679, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7232, predictive_accuracy: 0.6911, prior_entropy: 0.7087, recall: 0.6911, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5558, root_relative_squared_error: 1.4069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5813, f_measure: 0.7795, kappa: 0.219, kb_relative_information_score: 0.316, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7886, predictive_accuracy: 0.8191, prior_entropy: 0.7087, recall: 0.8191, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4253, root_relative_squared_error: 1.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5472, f_measure: 0.5944, kappa: 0.0611, kb_relative_information_score: -0.7136, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7165, predictive_accuracy: 0.5468, prior_entropy: 0.7087, recall: 0.5468, relative_absolute_error: 1.452, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6732, root_relative_squared_error: 1.7042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.7803, kappa: 0.2232, kb_relative_information_score: 0.3136, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7873, predictive_accuracy: 0.8185, prior_entropy: 0.7087, recall: 0.8185, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.7818, kappa: 0.2295, kb_relative_information_score: 0.3143, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7878, predictive_accuracy: 0.8186, prior_entropy: 0.7087, recall: 0.8186, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.7647, kappa: 0.1616, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7789, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5701, f_measure: 0.7224, kappa: 0.1333, kb_relative_information_score: -0.0748, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7298, predictive_accuracy: 0.7158, prior_entropy: 0.7087, recall: 0.7158, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5331, root_relative_squared_error: 1.3497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.7756, kappa: 0.2066, kb_relative_information_score: 0.2976, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7794, predictive_accuracy: 0.8142, prior_entropy: 0.7087, recall: 0.8142, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.431, root_relative_squared_error: 1.0911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.7816, kappa: 0.2289, kb_relative_information_score: 0.3126, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.787, predictive_accuracy: 0.8182, prior_entropy: 0.7087, recall: 0.8182, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5531, f_measure: 0.7383, kappa: 0.1189, kb_relative_information_score: 0.0708, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7265, predictive_accuracy: 0.7542, prior_entropy: 0.7087, recall: 0.7542, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.2549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5136, f_measure: 0.4382, kappa: 0.014, kb_relative_information_score: -1.2687, mean_absolute_error: 0.6, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6997, predictive_accuracy: 0.4, prior_entropy: 0.7087, recall: 0.4, relative_absolute_error: 1.9223, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7746, root_relative_squared_error: 1.9609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.7651, kappa: 0.1637, kb_relative_information_score: 0.2934, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7758, predictive_accuracy: 0.8131, prior_entropy: 0.7087, recall: 0.8131, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.7789, kappa: 0.2181, kb_relative_information_score: 0.3087, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7849, predictive_accuracy: 0.8172, prior_entropy: 0.7087, recall: 0.8172, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4276, root_relative_squared_error: 1.0824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, f_measure: 0.6298, kappa: 0.064, kb_relative_information_score: -0.5569, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7137, predictive_accuracy: 0.5882, prior_entropy: 0.7087, recall: 0.5882, relative_absolute_error: 1.3192, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.6244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.7782, kappa: 0.2157, kb_relative_information_score: 0.3073, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7842, predictive_accuracy: 0.8168, prior_entropy: 0.7087, recall: 0.8168, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.428, root_relative_squared_error: 1.0835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.779, kappa: 0.2201, kb_relative_information_score: 0.3039, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7828, predictive_accuracy: 0.8159, prior_entropy: 0.7087, recall: 0.8159, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4291, root_relative_squared_error: 1.0862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.7786, kappa: 0.2176, kb_relative_information_score: 0.3066, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7839, predictive_accuracy: 0.8166, prior_entropy: 0.7087, recall: 0.8166, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.7638, kappa: 0.1587, kb_relative_information_score: 0.2921, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7749, predictive_accuracy: 0.8128, prior_entropy: 0.7087, recall: 0.8128, relative_absolute_error: 0.5999, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4327, root_relative_squared_error: 1.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.7659, kappa: 0.1661, kb_relative_information_score: 0.299, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7795, predictive_accuracy: 0.8146, prior_entropy: 0.7087, recall: 0.8146, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4306, root_relative_squared_error: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.7799, kappa: 0.2236, kb_relative_information_score: 0.3049, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7834, predictive_accuracy: 0.8162, prior_entropy: 0.7087, recall: 0.8162, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.0854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5631, f_measure: 0.7686, kappa: 0.1762, kb_relative_information_score: 0.3035, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7822, predictive_accuracy: 0.8158, prior_entropy: 0.7087, recall: 0.8158, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.0865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5806, f_measure: 0.779, kappa: 0.2172, kb_relative_information_score: 0.3143, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7877, predictive_accuracy: 0.8186, prior_entropy: 0.7087, recall: 0.8186, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.558, f_measure: 0.7654, kappa: 0.1639, kb_relative_information_score: 0.3018, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7816, predictive_accuracy: 0.8153, prior_entropy: 0.7087, recall: 0.8153, relative_absolute_error: 0.5916, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4297, root_relative_squared_error: 1.0878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5596, kappa: 0.046, kb_relative_information_score: -0.8536, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7122, predictive_accuracy: 0.5098, prior_entropy: 0.7087, recall: 0.5098, relative_absolute_error: 1.5706, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7002, root_relative_squared_error: 1.7724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.768, kappa: 0.174, kb_relative_information_score: 0.3025, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7816, predictive_accuracy: 0.8155, prior_entropy: 0.7087, recall: 0.8155, relative_absolute_error: 0.591, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4295, root_relative_squared_error: 1.0873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5315, f_measure: 0.5444, kappa: 0.0374, kb_relative_information_score: -0.9123, mean_absolute_error: 0.5057, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7087, predictive_accuracy: 0.4943, prior_entropy: 0.7087, recall: 0.4943, relative_absolute_error: 1.6203, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7112, root_relative_squared_error: 1.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.4901, kappa: 0.0282, kb_relative_information_score: -1.1026, mean_absolute_error: 0.5561, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7075, predictive_accuracy: 0.4439, prior_entropy: 0.7087, recall: 0.4439, relative_absolute_error: 1.7816, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.8878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.7609, kappa: 0.1469, kb_relative_information_score: 0.2934, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7761, predictive_accuracy: 0.8131, prior_entropy: 0.7087, recall: 0.8131, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5382, f_measure: 0.6186, kappa: 0.0531, kb_relative_information_score: -0.6069, mean_absolute_error: 0.425, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7099, predictive_accuracy: 0.575, prior_entropy: 0.7087, recall: 0.575, relative_absolute_error: 1.3616, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6519, root_relative_squared_error: 1.6503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.7651, kappa: 0.1636, kb_relative_information_score: 0.2955, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7772, predictive_accuracy: 0.8137, prior_entropy: 0.7087, recall: 0.8137, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5335, f_measure: 0.5621, kappa: 0.0411, kb_relative_information_score: -0.8449, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7092, predictive_accuracy: 0.5121, prior_entropy: 0.7087, recall: 0.5121, relative_absolute_error: 1.5632, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6985, root_relative_squared_error: 1.7683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5707, f_measure: 0.6995, kappa: 0.1209, kb_relative_information_score: -0.212, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7279, predictive_accuracy: 0.6795, prior_entropy: 0.7087, recall: 0.6795, relative_absolute_error: 1.0269, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.4332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, f_measure: 0.7625, kappa: 0.1544, kb_relative_information_score: 0.2875, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.772, predictive_accuracy: 0.8116, prior_entropy: 0.7087, recall: 0.8116, relative_absolute_error: 0.6037, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.0989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5588, f_measure: 0.6286, kappa: 0.0814, kb_relative_information_score: -0.5653, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7218, predictive_accuracy: 0.586, prior_entropy: 0.7087, recall: 0.586, relative_absolute_error: 1.3263, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.6434, root_relative_squared_error: 1.6288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5327, f_measure: 0.5377, kappa: 0.0383, kb_relative_information_score: -0.9366, mean_absolute_error: 0.5122, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7099, predictive_accuracy: 0.4878, prior_entropy: 0.7087, recall: 0.4878, relative_absolute_error: 1.6409, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7157, root_relative_squared_error: 1.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5245, f_measure: 0.4907, kappa: 0.0267, kb_relative_information_score: -1.1013, mean_absolute_error: 0.5557, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7063, predictive_accuracy: 0.4443, prior_entropy: 0.7087, recall: 0.4443, relative_absolute_error: 1.7805, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7455, root_relative_squared_error: 1.8871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.5587, kappa: 0.0393, kb_relative_information_score: -0.8581, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7085, predictive_accuracy: 0.5086, prior_entropy: 0.7087, recall: 0.5086, relative_absolute_error: 1.5744, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.701, root_relative_squared_error: 1.7746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, f_measure: 0.4306, kappa: 0.0145, kb_relative_information_score: -1.2902, mean_absolute_error: 0.6057, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7006, predictive_accuracy: 0.3943, prior_entropy: 0.7087, recall: 0.3943, relative_absolute_error: 1.9406, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7783, root_relative_squared_error: 1.9702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.764, kappa: 0.1589, kb_relative_information_score: 0.2976, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7787, predictive_accuracy: 0.8142, prior_entropy: 0.7087, recall: 0.8142, relative_absolute_error: 0.5952, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.431, root_relative_squared_error: 1.0911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, kb_relative_information_score: 0.0103, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.9507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5652, kb_relative_information_score: 0.0001, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, 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: 0.7213, kb_relative_information_score: 0.0078, mean_absolute_error: 0.2889, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, kb_relative_information_score: -0.0017, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, kb_relative_information_score: 0.0001, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, 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: 0.7465, f_measure: 0.7754, kappa: 0.2062, kb_relative_information_score: 0.0714, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7787, predictive_accuracy: 0.8139, prior_entropy: 0.7087, recall: 0.8139, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, kb_relative_information_score: 0.0018, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.386, root_relative_squared_error: 0.9773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5671, kb_relative_information_score: 0.0001, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, 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: 0.6652, kb_relative_information_score: 0.0001, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.395, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.516, f_measure: 0.4906, kappa: 0.0176, kb_relative_information_score: -1.1058, mean_absolute_error: 0.5569, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6998, predictive_accuracy: 0.4431, prior_entropy: 0.7087, recall: 0.4431, relative_absolute_error: 1.7843, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7463, root_relative_squared_error: 1.8892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, f_measure: 0.7684, kappa: 0.1765, kb_relative_information_score: 0.2983, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7788, predictive_accuracy: 0.8144, prior_entropy: 0.7087, recall: 0.8144, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4308, root_relative_squared_error: 1.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.7836, kappa: 0.2382, kb_relative_information_score: 0.0994, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7867, predictive_accuracy: 0.8178, prior_entropy: 0.7087, recall: 0.8178, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5556, f_measure: 0.7633, kappa: 0.1567, kb_relative_information_score: 0.2938, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7761, predictive_accuracy: 0.8132, prior_entropy: 0.7087, recall: 0.8132, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.7523, kappa: 0.1141, kb_relative_information_score: 0.0298, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7806, predictive_accuracy: 0.8133, prior_entropy: 0.7087, recall: 0.8133, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.9414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.7817, kappa: 0.2588, kb_relative_information_score: 0.1188, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7735, predictive_accuracy: 0.7981, prior_entropy: 0.7087, recall: 0.7981, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3955, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.7727, kappa: 0.1931, kb_relative_information_score: 0.0667, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7821, predictive_accuracy: 0.8159, prior_entropy: 0.7087, recall: 0.8159, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.79, kappa: 0.2761, kb_relative_information_score: 0.1988, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7843, predictive_accuracy: 0.8117, prior_entropy: 0.7087, recall: 0.8117, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.79, kappa: 0.2715, kb_relative_information_score: 0.1255, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7861, predictive_accuracy: 0.8147, prior_entropy: 0.7087, recall: 0.8147, relative_absolute_error: 0.7799, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.648, f_measure: 0.7445, kappa: 0.1594, kb_relative_information_score: -0.0105, mean_absolute_error: 0.2684, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7381, predictive_accuracy: 0.7521, prior_entropy: 0.7087, recall: 0.7521, relative_absolute_error: 0.86, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.1597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.7699, kappa: 0.1853, kb_relative_information_score: 0.0587, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7723, predictive_accuracy: 0.8108, prior_entropy: 0.7087, recall: 0.8108, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, kb_relative_information_score: -0.0188, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.7266, kappa: 0.0213, kb_relative_information_score: -0.0117, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7276, predictive_accuracy: 0.8041, prior_entropy: 0.7087, recall: 0.8041, relative_absolute_error: 0.8919, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6165, f_measure: 0.7308, kappa: 0.1556, kb_relative_information_score: -0.1378, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7367, predictive_accuracy: 0.7254, prior_entropy: 0.7087, recall: 0.7254, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.2357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.7615, kappa: 0.1497, kb_relative_information_score: 0.29, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7735, predictive_accuracy: 0.8122, prior_entropy: 0.7087, recall: 0.8122, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.7436, kappa: 0.0823, kb_relative_information_score: 0.0247, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7756, predictive_accuracy: 0.811, prior_entropy: 0.7087, recall: 0.811, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.7866, kappa: 0.2559, kb_relative_information_score: 0.1737, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7838, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7848, kappa: 0.2425, kb_relative_information_score: 0.1129, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7879, predictive_accuracy: 0.8185, prior_entropy: 0.7087, recall: 0.8185, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.7227, kappa: 0.1227, kb_relative_information_score: -0.1308, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7263, predictive_accuracy: 0.7193, prior_entropy: 0.7087, recall: 0.7193, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.2535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.7784, kappa: 0.2201, kb_relative_information_score: 0.0544, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7788, predictive_accuracy: 0.8132, prior_entropy: 0.7087, recall: 0.8132, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5547, f_measure: 0.7042, kappa: 0.0996, kb_relative_information_score: -0.1665, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7197, predictive_accuracy: 0.6915, prior_entropy: 0.7087, recall: 0.6915, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5554, root_relative_squared_error: 1.4061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7891, kappa: 0.2698, kb_relative_information_score: 0.1779, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7843, predictive_accuracy: 0.8129, prior_entropy: 0.7087, recall: 0.8129, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.7635, kappa: 0.1574, kb_relative_information_score: 0.0436, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7749, predictive_accuracy: 0.8128, prior_entropy: 0.7087, recall: 0.8128, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9368,

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