OpenML
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 31 Supervised Classification credit-g 416626 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 python study_1 study_107 study_123 study_130 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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416626 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.746, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.0186, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.6719, kappa: 0.1851, kb_relative_information_score: 108.9727, mean_absolute_error: 0.3666, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6735, predictive_accuracy: 0.706, prior_entropy: 0.8818, recall: 0.706, relative_absolute_error: 0.8725, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.8878, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -28.9135, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0129, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.7086, kappa: 0.2939, kb_relative_information_score: 231.1925, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7047, predictive_accuracy: 0.715, prior_entropy: 0.8818, recall: 0.715, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.5985, kappa: 0.0335, kb_relative_information_score: 28.8677, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6437, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -20.6643, mean_absolute_error: 0.424, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 44.4854, mean_absolute_error: 0.4005, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4608, root_relative_squared_error: 1.0057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.6301, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 48.8885, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4614, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6837, kappa: 0.2302, kb_relative_information_score: 136.5651, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6784, predictive_accuracy: 0.693, prior_entropy: 0.8818, recall: 0.693, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4811, root_relative_squared_error: 1.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.3339, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 130.7611, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8527, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.645, kappa: 0.1229, kb_relative_information_score: 72.2098, mean_absolute_error: 0.3825, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.666, predictive_accuracy: 0.706, prior_entropy: 0.8818, recall: 0.706, relative_absolute_error: 0.9103, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, f_measure: 0.6162, kappa: 0.0519, kb_relative_information_score: -17.6168, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6037, predictive_accuracy: 0.642, prior_entropy: 0.8818, recall: 0.642, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4741, root_relative_squared_error: 1.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.5666, kappa: 0.0315, kb_relative_information_score: -143.3266, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.594, predictive_accuracy: 0.551, prior_entropy: 0.8818, recall: 0.551, relative_absolute_error: 1.0658, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.6657, root_relative_squared_error: 1.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.8372, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -33.5742, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0151, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 19.9749, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.6447, kappa: 0.1244, kb_relative_information_score: 98.613, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6749, predictive_accuracy: 0.71, prior_entropy: 0.8818, recall: 0.71, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.4753, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22.653, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0101, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.6985, mean_absolute_error: 0.421, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.8231, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -47.9631, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0217, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -46.0544, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0209, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -62.4415, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0286, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4593, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6646, kappa: 0.1667, kb_relative_information_score: 106.9333, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6656, predictive_accuracy: 0.701, prior_entropy: 0.8818, recall: 0.701, relative_absolute_error: 0.8748, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.6219, kappa: 0.0607, kb_relative_information_score: -277.2804, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6131, predictive_accuracy: 0.669, prior_entropy: 0.8818, recall: 0.669, relative_absolute_error: 1.1514, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4855, root_relative_squared_error: 1.0594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 32.086, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 36.6415, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.46, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7383, kappa: 0.353, kb_relative_information_score: 191.2304, mean_absolute_error: 0.3384, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7425, predictive_accuracy: 0.757, prior_entropy: 0.8818, recall: 0.757, relative_absolute_error: 0.8054, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 157.0995, mean_absolute_error: 0.3442, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.5202, mean_absolute_error: 0.4195, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -180.3816, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0908, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4682, root_relative_squared_error: 1.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -28.1948, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0126, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.7824, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 173.1215, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.1013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7317, f_measure: 0.6133, kappa: 0.0681, kb_relative_information_score: 91.9449, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7012, predictive_accuracy: 0.71, prior_entropy: 0.8818, recall: 0.71, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.9353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, kb_relative_information_score: 61.1695, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.6667, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 32.3823, mean_absolute_error: 0.406, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.6979, kappa: 0.2761, kb_relative_information_score: 175.5971, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6961, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.7845, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6752, f_measure: 0.6697, kappa: 0.1952, kb_relative_information_score: 80.1344, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6636, predictive_accuracy: 0.68, prior_entropy: 0.8818, recall: 0.68, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.7181, kappa: 0.3015, kb_relative_information_score: 141.0691, mean_absolute_error: 0.3534, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7223, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.9238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.7282, kappa: 0.3288, kb_relative_information_score: 218.9131, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7294, predictive_accuracy: 0.746, prior_entropy: 0.8818, recall: 0.746, relative_absolute_error: 0.7654, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.9096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 25.9906, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.4135, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -17.2496, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.6655, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5262, f_measure: 0.5523, kappa: 0.0454, kb_relative_information_score: -192.4129, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6018, predictive_accuracy: 0.533, prior_entropy: 0.8818, recall: 0.533, relative_absolute_error: 1.1115, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.6834, root_relative_squared_error: 1.4912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.7165, kappa: 0.3061, kb_relative_information_score: 186.0265, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7128, predictive_accuracy: 0.728, prior_entropy: 0.8818, recall: 0.728, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -43.2983, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0196, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.894, mean_absolute_error: 0.4211, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: -91.7655, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0431, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4605, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.6319, kappa: 0.0971, kb_relative_information_score: 65.2874, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6659, predictive_accuracy: 0.706, prior_entropy: 0.8818, recall: 0.706, relative_absolute_error: 0.9174, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.4713, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7452, kappa: 0.373, kb_relative_information_score: 230.7136, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7456, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.4003, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.6545, kappa: 0.1504, kb_relative_information_score: 72.1744, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.703, predictive_accuracy: 0.721, prior_entropy: 0.8818, recall: 0.721, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.9324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.8079, mean_absolute_error: 0.4164, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 24.2656, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9748, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.9755, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -33.3503, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.509, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6505, f_measure: 0.6291, kappa: 0.0876, kb_relative_information_score: 3.0383, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6509, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -19.1949, mean_absolute_error: 0.4237, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0085, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.7397, kappa: 0.3601, kb_relative_information_score: 233.9669, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.739, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.9102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -24.7215, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.011, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.7085, kappa: 0.2756, kb_relative_information_score: 158.0679, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7267, predictive_accuracy: 0.743, prior_entropy: 0.8818, recall: 0.743, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -90.6562, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0425, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4605, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.5046, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -40.4756, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0182, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.5922, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -77.7747, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0361, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -61.7433, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0283, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4592, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.9289, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.6736, mean_absolute_error: 0.4103, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.7215, kappa: 0.308, kb_relative_information_score: 161.6225, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7387, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.9002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7529, f_measure: 0.7136, kappa: 0.2961, kb_relative_information_score: 209.0611, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7105, predictive_accuracy: 0.728, prior_entropy: 0.8818, recall: 0.728, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 58.7955, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4629, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.4933, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.4883, kappa: -0.0095, kb_relative_information_score: -355.7515, mean_absolute_error: 0.531, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.5746, predictive_accuracy: 0.469, prior_entropy: 0.8818, recall: 0.469, relative_absolute_error: 1.2638, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.7287, root_relative_squared_error: 1.5901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.2729, mean_absolute_error: 0.4157, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.5719, kappa: 0.0269, kb_relative_information_score: -126.0562, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.5917, predictive_accuracy: 0.559, prior_entropy: 0.8818, recall: 0.559, relative_absolute_error: 1.0496, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.622, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, f_measure: 0.5788, kappa: 0.0047, kb_relative_information_score: 4.9733, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7905, predictive_accuracy: 0.701, prior_entropy: 0.8818, recall: 0.701, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 48.9528, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4614, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.6638, kappa: 0.1667, kb_relative_information_score: 143.2158, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6837, predictive_accuracy: 0.715, prior_entropy: 0.8818, recall: 0.715, relative_absolute_error: 0.8428, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.5811, kappa: 0.0093, kb_relative_information_score: 71.5239, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.791, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6045, f_measure: 0.6142, kappa: 0.0511, kb_relative_information_score: 49.6453, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6213, predictive_accuracy: 0.688, prior_entropy: 0.8818, recall: 0.688, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -21.3407, mean_absolute_error: 0.4241, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0095, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7216, kappa: 0.3103, kb_relative_information_score: 182.9125, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7261, predictive_accuracy: 0.744, prior_entropy: 0.8818, recall: 0.744, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.411, root_relative_squared_error: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, f_measure: 0.6744, kappa: 0.1915, kb_relative_information_score: 109.5444, mean_absolute_error: 0.3665, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6888, predictive_accuracy: 0.718, prior_entropy: 0.8818, recall: 0.718, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.9247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -52.2034, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0237, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0015,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs