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: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.0412, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.904, kappa: 0.8056, kb_relative_information_score: 299.7162, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.991, recall: 0.904, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -18.3872, mean_absolute_error: 0.5063, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0255, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.2924, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9995, 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: 0.9597, f_measure: 0.8816, kappa: 0.7596, kb_relative_information_score: 316.3203, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8824, predictive_accuracy: 0.882, prior_entropy: 0.991, recall: 0.882, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.5733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.1898, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.071, 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: 1.0001, 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: 0.7901, f_measure: 0.528, kappa: 0.1278, kb_relative_information_score: 116.5038, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6422, predictive_accuracy: 0.602, prior_entropy: 0.991, recall: 0.602, relative_absolute_error: 0.7737, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5.8033, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0074, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kb_relative_information_score: 5.8441, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.8879, kappa: 0.7729, kb_relative_information_score: 280.2074, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8879, predictive_accuracy: 0.888, prior_entropy: 0.991, recall: 0.888, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 443.6684, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.991, recall: 0.968, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.2894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9598, kappa: 0.9182, kb_relative_information_score: 324.3591, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9627, predictive_accuracy: 0.96, prior_entropy: 0.991, recall: 0.96, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7898, f_measure: 0.7724, kappa: 0.548, kb_relative_information_score: 246.3665, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.787, predictive_accuracy: 0.772, prior_entropy: 0.991, recall: 0.772, relative_absolute_error: 0.5147, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4383, root_relative_squared_error: 0.8821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.097, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8649, kappa: 0.7262, kb_relative_information_score: 299.5979, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8823, predictive_accuracy: 0.868, prior_entropy: 0.991, recall: 0.868, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.5898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.5465, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.3103, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 425.9665, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9074, kappa: 0.812, kb_relative_information_score: 330.139, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9099, predictive_accuracy: 0.908, prior_entropy: 0.991, recall: 0.908, relative_absolute_error: 0.3757, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.2783, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.7886, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.4887, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.8621, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.4371, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.9162, kappa: 0.8308, kb_relative_information_score: 402.8982, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9174, predictive_accuracy: 0.916, prior_entropy: 0.991, recall: 0.916, relative_absolute_error: 0.1995, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2764, root_relative_squared_error: 0.5563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.8302, kappa: 0.6594, kb_relative_information_score: 33.4411, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8746, predictive_accuracy: 0.838, prior_entropy: 0.991, recall: 0.838, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.1711, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.2725, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.002, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.4082, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.9313, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5138, f_measure: 0.4348, kappa: 0.0486, kb_relative_information_score: -6.4399, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.554, predictive_accuracy: 0.49, prior_entropy: 0.991, recall: 0.49, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6831, root_relative_squared_error: 1.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 28.5623, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5488, root_relative_squared_error: 1.1045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.3085, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0004, 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: 0.5, kb_relative_information_score: 1.454, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8941, kappa: 0.7858, kb_relative_information_score: 299.9998, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8944, predictive_accuracy: 0.894, prior_entropy: 0.991, recall: 0.894, relative_absolute_error: 0.4439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.8894, kappa: 0.7755, kb_relative_information_score: 336.0143, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.891, predictive_accuracy: 0.89, prior_entropy: 0.991, recall: 0.89, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -5.0339, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.4613, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -5.637, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -6.1288, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.7825, kappa: 0.5611, kb_relative_information_score: 190.812, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.784, predictive_accuracy: 0.782, prior_entropy: 0.991, recall: 0.782, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.7776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.5054, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5521, f_measure: 0.4491, kappa: 0.0597, kb_relative_information_score: 28.5976, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7607, predictive_accuracy: 0.58, prior_entropy: 0.991, recall: 0.58, relative_absolute_error: 0.9473, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9259, kappa: 0.8498, kb_relative_information_score: 390.5828, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 0.991, recall: 0.926, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.4535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, f_measure: 0.5027, kappa: -0.0102, kb_relative_information_score: -3.0232, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5012, predictive_accuracy: 0.506, prior_entropy: 0.991, recall: 0.506, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7029, root_relative_squared_error: 1.4146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7339, kappa: 0.461, kb_relative_information_score: 141.4954, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7339, predictive_accuracy: 0.734, prior_entropy: 0.991, recall: 0.734, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.9957, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9035, kappa: 0.8041, kb_relative_information_score: 381.9267, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.905, predictive_accuracy: 0.904, prior_entropy: 0.991, recall: 0.904, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2713, root_relative_squared_error: 0.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.6147, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9679, kappa: 0.9348, kb_relative_information_score: 329.0361, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9693, predictive_accuracy: 0.968, prior_entropy: 0.991, recall: 0.968, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8445, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 113.9026, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -44.6269, mean_absolute_error: 0.53, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0734, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5931, root_relative_squared_error: 1.1938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.9395, mean_absolute_error: 0.5107, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0344, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5195, root_relative_squared_error: 1.0457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.3598, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0095, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.4667, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0006, 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: 0.8363, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 207.2969, mean_absolute_error: 0.3189, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.6458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.7942, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.5169, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.6747, kappa: 0.3391, kb_relative_information_score: 106.3855, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6761, predictive_accuracy: 0.678, prior_entropy: 0.991, recall: 0.678, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 108.7086, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.5241, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9138, kappa: 0.8253, kb_relative_information_score: 346.3045, mean_absolute_error: 0.1663, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9141, predictive_accuracy: 0.914, prior_entropy: 0.991, recall: 0.914, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.8728, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 3.3045, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.72, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -13.7796, mean_absolute_error: 0.5029, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0186, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.5647, kappa: 0.2108, kb_relative_information_score: 40.7663, mean_absolute_error: 0.4651, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7822, predictive_accuracy: 0.642, prior_entropy: 0.991, recall: 0.642, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.6235, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 438.6028, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.2543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.4189, kappa: 0.003, kb_relative_information_score: -41.7145, mean_absolute_error: 0.532, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5089, predictive_accuracy: 0.468, prior_entropy: 0.991, recall: 0.468, relative_absolute_error: 1.0775, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7294, root_relative_squared_error: 1.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.974, kappa: 0.9474, kb_relative_information_score: 410.6104, mean_absolute_error: 0.1058, 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: 0.2143, 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: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.6007, kappa: 0.2633, kb_relative_information_score: 14.4672, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7906, predictive_accuracy: 0.664, prior_entropy: 0.991, recall: 0.664, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.9796, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 26.4269, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8649, kappa: 0.7262, kb_relative_information_score: 278.5408, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8823, predictive_accuracy: 0.868, prior_entropy: 0.991, recall: 0.868, relative_absolute_error: 0.4865, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9699, kappa: 0.939, kb_relative_information_score: 450.189, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9703, predictive_accuracy: 0.97, prior_entropy: 0.991, recall: 0.97, relative_absolute_error: 0.1068, 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: 0.4935, kb_relative_information_score: 6.04, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kb_relative_information_score: -4.8474, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7767, kappa: 0.5528, kb_relative_information_score: 181.4598, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7837, predictive_accuracy: 0.776, prior_entropy: 0.991, recall: 0.776, relative_absolute_error: 0.6686, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.393, root_relative_squared_error: 0.7909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.5633, kappa: 0.1836, kb_relative_information_score: 37.9905, mean_absolute_error: 0.4647, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6812, predictive_accuracy: 0.626, prior_entropy: 0.991, recall: 0.626, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, f_measure: 0.8978, kappa: 0.7926, kb_relative_information_score: 352.7542, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8981, predictive_accuracy: 0.898, prior_entropy: 0.991, recall: 0.898, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 29.7326, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5537, root_relative_squared_error: 1.1144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.88, kappa: 0.7565, kb_relative_information_score: 340.5789, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8908, predictive_accuracy: 0.882, prior_entropy: 0.991, recall: 0.882, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8773, kappa: 0.7508, kb_relative_information_score: 242.354, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8792, predictive_accuracy: 0.878, prior_entropy: 0.991, recall: 0.878, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 25.0401, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5354, root_relative_squared_error: 1.0777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 20.3708, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5213, root_relative_squared_error: 1.0491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -5.9259, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.9728, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.4517, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.7426, kappa: 0.4805, kb_relative_information_score: 187.9833, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7442, predictive_accuracy: 0.742, prior_entropy: 0.991, recall: 0.742, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5219, f_measure: 0.4019, kappa: 0.04, kb_relative_information_score: -29.4962, mean_absolute_error: 0.52, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5588, predictive_accuracy: 0.48, prior_entropy: 0.991, recall: 0.48, relative_absolute_error: 1.0532, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7211, root_relative_squared_error: 1.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.7046, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.7988, kappa: 0.5912, kb_relative_information_score: 212.3665, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8001, predictive_accuracy: 0.8, prior_entropy: 0.991, recall: 0.8, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7454,

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