OpenML
Supervised Classification on profb

Supervised Classification on profb

Task 3561 Supervised Classification profb 13173 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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13173 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 14.479, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -5.0015, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -65.0077, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0508, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4716, kappa: -0.0264, kb_relative_information_score: -182.4302, mean_absolute_error: 0.5375, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5406, predictive_accuracy: 0.4598, prior_entropy: 0.9188, recall: 0.4598, relative_absolute_error: 1.2088, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7297, root_relative_squared_error: 1.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 17.9332, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4729, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5409, f_measure: 0.5896, kappa: 0.0741, kb_relative_information_score: -23.4343, mean_absolute_error: 0.4421, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5885, predictive_accuracy: 0.5908, prior_entropy: 0.9188, recall: 0.5908, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5365, root_relative_squared_error: 1.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -66.4294, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0524, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5712, f_measure: 0.5958, kappa: 0.0764, kb_relative_information_score: 26.121, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5899, predictive_accuracy: 0.6042, prior_entropy: 0.9188, recall: 0.6042, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5391, root_relative_squared_error: 1.1436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.5326, kappa: -0.0148, kb_relative_information_score: -86.1373, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5488, predictive_accuracy: 0.5223, prior_entropy: 0.9188, recall: 0.5223, relative_absolute_error: 1.0745, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6911, root_relative_squared_error: 1.4661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -63.1794, mean_absolute_error: 0.4669, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0501, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -385.8908, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.4994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6423, f_measure: 0.6111, kappa: 0.1143, kb_relative_information_score: 15.3402, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.645, predictive_accuracy: 0.6771, prior_entropy: 0.9188, recall: 0.6771, relative_absolute_error: 0.967, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -202.1931, mean_absolute_error: 0.5311, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.1944, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5383, root_relative_squared_error: 1.1418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5443, f_measure: 0.5801, kappa: 0.0312, kb_relative_information_score: -2.525, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5702, predictive_accuracy: 0.5997, prior_entropy: 0.9188, recall: 0.5997, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, f_measure: 0.5477, kappa: 0.0127, kb_relative_information_score: -60.1337, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5613, predictive_accuracy: 0.5387, prior_entropy: 0.9188, recall: 0.5387, relative_absolute_error: 1.0376, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6792, root_relative_squared_error: 1.4408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.5703, kappa: 0.005, kb_relative_information_score: 39.0097, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.558, predictive_accuracy: 0.6012, prior_entropy: 0.9188, recall: 0.6012, relative_absolute_error: 0.897, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6315, root_relative_squared_error: 1.3396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 17.9904, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4727, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5605, kb_relative_information_score: 11.9136, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4696, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -1.2495, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 4.6441, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 5.8598, mean_absolute_error: 0.4402, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 7.5528, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.3616, kappa: -0.0033, kb_relative_information_score: -282.0263, mean_absolute_error: 0.6012, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5519, predictive_accuracy: 0.3988, prior_entropy: 0.9188, recall: 0.3988, relative_absolute_error: 1.3522, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7754, root_relative_squared_error: 1.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.6175, kappa: 0.1228, kb_relative_information_score: 42.6401, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6391, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.634, f_measure: 0.6192, kappa: 0.1778, kb_relative_information_score: -39.8684, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6375, predictive_accuracy: 0.6101, prior_entropy: 0.9188, recall: 0.6101, relative_absolute_error: 1.0219, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4872, root_relative_squared_error: 1.0334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -7.4088, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -62.3359, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0486, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.6035, kappa: 0.086, kb_relative_information_score: 29.0192, mean_absolute_error: 0.4155, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5956, predictive_accuracy: 0.6205, prior_entropy: 0.9188, recall: 0.6205, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.4798, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 34.0457, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9492, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 40.3987, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9392, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.5428, kappa: 0.0148, kb_relative_information_score: 45.4384, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6961, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 15.306, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6344, f_measure: 0.6233, kappa: 0.1316, kb_relative_information_score: 26.466, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6169, predictive_accuracy: 0.6399, prior_entropy: 0.9188, recall: 0.6399, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, kb_relative_information_score: -0.7168, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -0.7991, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 2.9999, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 4.2686, mean_absolute_error: 0.4419, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 21.0638, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -4.0022, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 39.4133, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9408, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5143, kb_relative_information_score: -121.5083, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5556, predictive_accuracy: 0.5, prior_entropy: 0.9188, recall: 0.5, relative_absolute_error: 1.1246, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 8.8477, mean_absolute_error: 0.4377, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.5421, kappa: 0.0118, kb_relative_information_score: 26.4804, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6458, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, kb_relative_information_score: 12.6717, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 2.318, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.3616, kappa: -0.0033, kb_relative_information_score: -282.0263, mean_absolute_error: 0.6012, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5519, predictive_accuracy: 0.3988, prior_entropy: 0.9188, recall: 0.3988, relative_absolute_error: 1.3522, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7754, root_relative_squared_error: 1.6448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -385.8908, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.4994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.6434, kappa: 0.1797, kb_relative_information_score: 41.0174, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6702, predictive_accuracy: 0.692, prior_entropy: 0.9188, recall: 0.692, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -27.5254, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0186, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.473, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -14.2944, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -19.7624, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0145, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6384, f_measure: 0.6073, kappa: 0.1137, kb_relative_information_score: 51.9287, mean_absolute_error: 0.4064, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6632, predictive_accuracy: 0.683, prior_entropy: 0.9188, recall: 0.683, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, kb_relative_information_score: 19.3148, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -0.29, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5384, f_measure: 0.5906, kappa: 0.0571, kb_relative_information_score: 38.1912, mean_absolute_error: 0.4051, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.582, predictive_accuracy: 0.6071, prior_entropy: 0.9188, recall: 0.6071, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.0868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 14.3086, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 21.0335, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 63.0406, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.5823, kappa: 0.0552, kb_relative_information_score: 22.0419, mean_absolute_error: 0.4211, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6055, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6042, f_measure: 0.6116, kappa: 0.105, kb_relative_information_score: 44.0593, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6043, predictive_accuracy: 0.628, prior_entropy: 0.9188, recall: 0.628, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.537, kb_relative_information_score: 19.9623, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9627, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4727, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 28.9465, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.3782, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -223.9714, mean_absolute_error: 0.5439, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.2233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5583, root_relative_squared_error: 1.1843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -1.354, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 14.9483, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4723, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 2.7314, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 8.3746, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -116.5081, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4905, root_relative_squared_error: 1.0406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 9.7409, mean_absolute_error: 0.4384, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5777, f_measure: 0.6198, kappa: 0.1218, kb_relative_information_score: 30.657, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.626, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.6106, kappa: 0.1186, kb_relative_information_score: 36.4312, mean_absolute_error: 0.4174, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6611, predictive_accuracy: 0.683, prior_entropy: 0.9188, recall: 0.683, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -94.9303, mean_absolute_error: 0.4791, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0775, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6199, f_measure: 0.6067, kappa: 0.0992, kb_relative_information_score: 32.5084, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6249, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 16.0218, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4724, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -224.0006, mean_absolute_error: 0.5439, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.2234, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.1851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.6307, kappa: 0.1568, kb_relative_information_score: 42.6501, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6717, predictive_accuracy: 0.6905, prior_entropy: 0.9188, recall: 0.6905, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -43.0185, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0329, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4741, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5627, f_measure: 0.6181, kappa: 0.1159, kb_relative_information_score: 36.22, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6127, predictive_accuracy: 0.6443, prior_entropy: 0.9188, recall: 0.6443, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.0464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 4.9922, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -385.8908, mean_absolute_error: 0.6667, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.3333, prior_entropy: 0.9188, recall: 0.3333, relative_absolute_error: 1.4994, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.8165, root_relative_squared_error: 1.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.6046, kappa: 0.0894, kb_relative_information_score: 45.2919, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.611, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 34.1393, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.4796, kappa: 0.0074, kb_relative_information_score: -168.7194, mean_absolute_error: 0.5298, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.56, predictive_accuracy: 0.4702, prior_entropy: 0.9188, recall: 0.4702, relative_absolute_error: 1.1915, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.7278, root_relative_squared_error: 1.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.5346, kappa: -0.003, kb_relative_information_score: 2.2615, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5274, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4737, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5931, f_measure: 0.6239, kappa: 0.1344, kb_relative_information_score: 24.2899, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6401, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 142.8743, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7497, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5774, root_relative_squared_error: 1.2247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: 41.5637, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -8.9646, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -30.6608, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0206, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.563, f_measure: 0.5957, kappa: 0.0783, kb_relative_information_score: -1.3458, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5906, predictive_accuracy: 0.6027, prior_entropy: 0.9188, recall: 0.6027, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5123, root_relative_squared_error: 1.0868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.5958, kappa: 0.0858, kb_relative_information_score: 27.2435, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5937, predictive_accuracy: 0.5982, prior_entropy: 0.9188, recall: 0.5982, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22.4054, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0165, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, kb_relative_information_score: -11.4144, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.6024, kappa: 0.0941, kb_relative_information_score: 32.1179, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5977, predictive_accuracy: 0.6086, prior_entropy: 0.9188, recall: 0.6086, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5635, root_relative_squared_error: 1.1954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, kb_relative_information_score: -82.2701, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.066, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4797, root_relative_squared_error: 1.0176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -27.2736, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0202, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0017,

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