OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24054 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.6278, kappa: 0.5694, kb_relative_information_score: 0.5948, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7116, predictive_accuracy: 0.6125, prior_entropy: 3.3219, recall: 0.6125, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.4617, kappa: 0.3611, kb_relative_information_score: 0.3987, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7168, predictive_accuracy: 0.425, prior_entropy: 3.3219, recall: 0.425, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3391, root_relative_squared_error: 1.1304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.0876, kappa: 0.0267, kb_relative_information_score: 0.0839, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.722, predictive_accuracy: 0.124, prior_entropy: 3.3219, recall: 0.124, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4186, root_relative_squared_error: 1.3952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, f_measure: 0.0747, kappa: 0.0183, kb_relative_information_score: 0.0761, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7307, predictive_accuracy: 0.1165, prior_entropy: 3.3219, recall: 0.1165, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.4012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8423, kappa: 0.825, kb_relative_information_score: 0.8353, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8428, predictive_accuracy: 0.8425, prior_entropy: 3.3219, recall: 0.8425, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.7756, kappa: 0.7511, kb_relative_information_score: 0.7658, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7778, predictive_accuracy: 0.776, prior_entropy: 3.3219, recall: 0.776, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2117, root_relative_squared_error: 0.7055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.1975, kappa: 0.1167, kb_relative_information_score: 0.1686, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6633, predictive_accuracy: 0.205, prior_entropy: 3.3219, recall: 0.205, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3987, root_relative_squared_error: 1.3292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8402, kappa: 0.8228, kb_relative_information_score: 0.8332, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8407, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.2679, kappa: 0.1711, kb_relative_information_score: 0.2199, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7073, predictive_accuracy: 0.254, prior_entropy: 3.3219, recall: 0.254, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3863, root_relative_squared_error: 1.2875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.5639, kappa: 0.4872, kb_relative_information_score: 0.5174, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.678, predictive_accuracy: 0.5385, prior_entropy: 3.3219, recall: 0.5385, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3038, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, f_measure: 0.3377, kappa: 0.2356, kb_relative_information_score: 0.2805, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7017, predictive_accuracy: 0.312, prior_entropy: 3.3219, recall: 0.312, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3709, root_relative_squared_error: 1.2365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.5751, kappa: 0.5028, kb_relative_information_score: 0.532, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6778, predictive_accuracy: 0.5525, prior_entropy: 3.3219, recall: 0.5525, relative_absolute_error: 0.4972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8325, kappa: 0.815, kb_relative_information_score: 0.8259, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8327, predictive_accuracy: 0.8335, prior_entropy: 3.3219, recall: 0.8335, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.6083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.5439, kappa: 0.4578, kb_relative_information_score: 0.4897, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6822, predictive_accuracy: 0.512, prior_entropy: 3.3219, recall: 0.512, relative_absolute_error: 0.5422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3124, root_relative_squared_error: 1.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.816, kappa: 0.7922, kb_relative_information_score: 0.8044, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8257, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.2078, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8417, kappa: 0.8244, kb_relative_information_score: 0.8348, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8421, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8371, kappa: 0.8194, kb_relative_information_score: 0.8301, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8374, predictive_accuracy: 0.8375, prior_entropy: 3.3219, recall: 0.8375, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.6009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8057, kappa: 0.7856, kb_relative_information_score: 0.7982, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8068, predictive_accuracy: 0.807, prior_entropy: 3.3219, recall: 0.807, relative_absolute_error: 0.2144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.6549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.813, kappa: 0.7883, kb_relative_information_score: 0.8008, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8235, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8465, kappa: 0.8294, kb_relative_information_score: 0.8395, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8468, predictive_accuracy: 0.8465, prior_entropy: 3.3219, recall: 0.8465, relative_absolute_error: 0.1706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8372, kappa: 0.82, kb_relative_information_score: 0.8306, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8375, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.18, root_relative_squared_error: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8277, kappa: 0.8083, kb_relative_information_score: 0.8196, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8286, predictive_accuracy: 0.8275, prior_entropy: 3.3219, recall: 0.8275, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8352, kappa: 0.8178, kb_relative_information_score: 0.8285, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8353, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8169, kappa: 0.7939, kb_relative_information_score: 0.806, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8238, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8456, kappa: 0.8283, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8461, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8372, kappa: 0.82, kb_relative_information_score: 0.8306, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.837, predictive_accuracy: 0.838, prior_entropy: 3.3219, recall: 0.838, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.18, root_relative_squared_error: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8383, kappa: 0.8206, kb_relative_information_score: 0.8311, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8387, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8442, kappa: 0.8267, kb_relative_information_score: 0.8369, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8449, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.3438, kappa: 0.3756, kb_relative_information_score: 0.4123, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6917, predictive_accuracy: 0.438, prior_entropy: 3.3219, recall: 0.438, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3353, root_relative_squared_error: 1.1175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.0803, kappa: 0.0217, kb_relative_information_score: 0.0792, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7308, predictive_accuracy: 0.1195, prior_entropy: 3.3219, recall: 0.1195, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8425, kappa: 0.8256, kb_relative_information_score: 0.8358, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8426, predictive_accuracy: 0.843, prior_entropy: 3.3219, recall: 0.843, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.84, kappa: 0.8222, kb_relative_information_score: 0.8327, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8405, predictive_accuracy: 0.84, prior_entropy: 3.3219, recall: 0.84, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8383, kappa: 0.8206, kb_relative_information_score: 0.8311, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8386, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7361, kappa: 0.7061, kb_relative_information_score: 0.7234, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.742, predictive_accuracy: 0.7355, prior_entropy: 3.3219, recall: 0.7355, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.23, root_relative_squared_error: 0.7667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.6959, kappa: 0.6628, kb_relative_information_score: 0.6826, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7179, predictive_accuracy: 0.6965, prior_entropy: 3.3219, recall: 0.6965, relative_absolute_error: 0.3372, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2464, root_relative_squared_error: 0.8212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.0812, kappa: 0.0222, kb_relative_information_score: 0.0797, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7308, predictive_accuracy: 0.12, prior_entropy: 3.3219, recall: 0.12, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4195, root_relative_squared_error: 1.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8381, kappa: 0.8206, kb_relative_information_score: 0.8311, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8384, predictive_accuracy: 0.8385, prior_entropy: 3.3219, recall: 0.8385, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.5991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.842, kappa: 0.825, kb_relative_information_score: 0.8353, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8422, predictive_accuracy: 0.8425, prior_entropy: 3.3219, recall: 0.8425, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.823, kappa: 0.8044, kb_relative_information_score: 0.8159, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8249, predictive_accuracy: 0.824, prior_entropy: 3.3219, recall: 0.824, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.6254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5131, f_measure: 0.0875, kappa: 0.0261, kb_relative_information_score: 0.0834, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.731, predictive_accuracy: 0.1235, prior_entropy: 3.3219, recall: 0.1235, relative_absolute_error: 0.9739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4187, root_relative_squared_error: 1.3956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.0738, kappa: 0.0178, kb_relative_information_score: 0.0756, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7307, predictive_accuracy: 0.116, prior_entropy: 3.3219, recall: 0.116, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4205, root_relative_squared_error: 1.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8431, kappa: 0.8261, kb_relative_information_score: 0.8363, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8434, predictive_accuracy: 0.8435, prior_entropy: 3.3219, recall: 0.8435, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.7872, kappa: 0.7667, kb_relative_information_score: 0.7804, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.794, predictive_accuracy: 0.79, prior_entropy: 3.3219, recall: 0.79, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.6831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9033, f_measure: 0.8249, kappa: 0.8067, kb_relative_information_score: 0.818, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8265, predictive_accuracy: 0.826, prior_entropy: 3.3219, recall: 0.826, relative_absolute_error: 0.1933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.6218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8407, kappa: 0.8233, kb_relative_information_score: 0.8337, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8409, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.5944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.0681, kappa: 0.0144, kb_relative_information_score: 0.0724, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7306, predictive_accuracy: 0.113, prior_entropy: 3.3219, recall: 0.113, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8355, kappa: 0.8178, kb_relative_information_score: 0.8285, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8358, predictive_accuracy: 0.836, prior_entropy: 3.3219, recall: 0.836, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8244, kappa: 0.8061, kb_relative_information_score: 0.8175, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.826, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8244, kappa: 0.8061, kb_relative_information_score: 0.8175, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.826, predictive_accuracy: 0.8255, prior_entropy: 3.3219, recall: 0.8255, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8311, kappa: 0.8117, kb_relative_information_score: 0.8227, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8323, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8316, kappa: 0.8122, kb_relative_information_score: 0.8233, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8328, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.1878, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.6128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7599, kappa: 0.7239, kb_relative_information_score: 0.7401, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7978, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7482, kappa: 0.7106, kb_relative_information_score: 0.7276, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7916, predictive_accuracy: 0.7395, prior_entropy: 3.3219, recall: 0.7395, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.7608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7594, kappa: 0.7344, kb_relative_information_score: 0.7501, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7751, predictive_accuracy: 0.761, prior_entropy: 3.3219, recall: 0.761, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7375, kappa: 0.7067, kb_relative_information_score: 0.7239, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7695, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.4455, kappa: 0.3878, kb_relative_information_score: 0.4238, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.504, predictive_accuracy: 0.449, prior_entropy: 3.3219, recall: 0.449, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.332, root_relative_squared_error: 1.1065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7964, kappa: 0.7756, kb_relative_information_score: 0.7888, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7992, predictive_accuracy: 0.798, prior_entropy: 3.3219, recall: 0.798, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.201, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8223, kappa: 0.8028, kb_relative_information_score: 0.8144, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8232, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7533, kappa: 0.7272, kb_relative_information_score: 0.7433, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7736, predictive_accuracy: 0.7545, prior_entropy: 3.3219, recall: 0.7545, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.7386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8083, kappa: 0.7883, kb_relative_information_score: 0.8008, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8093, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8311, kappa: 0.8117, kb_relative_information_score: 0.8227, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8323, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.7836, kappa: 0.7617, kb_relative_information_score: 0.7757, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7906, predictive_accuracy: 0.7855, prior_entropy: 3.3219, recall: 0.7855, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8163, kappa: 0.795, kb_relative_information_score: 0.8071, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8195, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1921, root_relative_squared_error: 0.6403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8339, kappa: 0.8144, kb_relative_information_score: 0.8254, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8357, predictive_accuracy: 0.833, prior_entropy: 3.3219, recall: 0.833, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.837, kappa: 0.8189, kb_relative_information_score: 0.8295, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8373, predictive_accuracy: 0.837, prior_entropy: 3.3219, recall: 0.837, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8311, kappa: 0.8117, kb_relative_information_score: 0.8227, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8323, predictive_accuracy: 0.8305, prior_entropy: 3.3219, recall: 0.8305, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.6137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.845, kappa: 0.8278, kb_relative_information_score: 0.8379, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8452, predictive_accuracy: 0.845, prior_entropy: 3.3219, recall: 0.845, relative_absolute_error: 0.1722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.7757, kappa: 0.7406, kb_relative_information_score: 0.7558, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8086, predictive_accuracy: 0.7665, prior_entropy: 3.3219, recall: 0.7665, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.7203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8482, kappa: 0.8311, kb_relative_information_score: 0.841, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8487, predictive_accuracy: 0.848, prior_entropy: 3.3219, recall: 0.848, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.5156, kappa: 0.4322, kb_relative_information_score: 0.4656, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7303, predictive_accuracy: 0.489, prior_entropy: 3.3219, recall: 0.489, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3197, root_relative_squared_error: 1.0656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8456, kappa: 0.8283, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8461, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8301, kappa: 0.8106, kb_relative_information_score: 0.8217, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8313, predictive_accuracy: 0.8295, prior_entropy: 3.3219, recall: 0.8295, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.846, kappa: 0.8289, kb_relative_information_score: 0.839, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8463, predictive_accuracy: 0.846, prior_entropy: 3.3219, recall: 0.846, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8414, kappa: 0.8239, kb_relative_information_score: 0.8342, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.842, predictive_accuracy: 0.8415, prior_entropy: 3.3219, recall: 0.8415, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.178, root_relative_squared_error: 0.5935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8476, kappa: 0.8306, kb_relative_information_score: 0.8405, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8481, predictive_accuracy: 0.8475, prior_entropy: 3.3219, recall: 0.8475, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.713, kappa: 0.6567, kb_relative_information_score: 0.6769, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7951, predictive_accuracy: 0.691, prior_entropy: 3.3219, recall: 0.691, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.8287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8457, kappa: 0.8283, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8463, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.062, kappa: 0.0106, kb_relative_information_score: 0.0688, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7304, predictive_accuracy: 0.1095, prior_entropy: 3.3219, recall: 0.1095, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.422, root_relative_squared_error: 1.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.1928, kappa: 0.1106, kb_relative_information_score: 0.1629, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6619, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4001, root_relative_squared_error: 1.3337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8357, kappa: 0.8172, kb_relative_information_score: 0.828, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8368, predictive_accuracy: 0.8355, prior_entropy: 3.3219, recall: 0.8355, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.6046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.8473, kappa: 0.83, kb_relative_information_score: 0.84, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8479, predictive_accuracy: 0.847, prior_entropy: 3.3219, recall: 0.847, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7265, kappa: 0.6867, kb_relative_information_score: 0.7051, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7807, predictive_accuracy: 0.718, prior_entropy: 3.3219, recall: 0.718, relative_absolute_error: 0.3133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.7916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, f_measure: 0.5122, kappa: 0.4667, kb_relative_information_score: 0.498, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7292, predictive_accuracy: 0.52, prior_entropy: 3.3219, recall: 0.52, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.0328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8152, kappa: 0.7939, kb_relative_information_score: 0.806, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8185, predictive_accuracy: 0.8145, prior_entropy: 3.3219, recall: 0.8145, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8487, kappa: 0.8317, kb_relative_information_score: 0.8416, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8492, predictive_accuracy: 0.8485, prior_entropy: 3.3219, recall: 0.8485, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8457, kappa: 0.8283, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8463, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.1553, kappa: 0.0756, kb_relative_information_score: 0.1299, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6997, predictive_accuracy: 0.168, prior_entropy: 3.3219, recall: 0.168, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4079, root_relative_squared_error: 1.3597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7504, kappa: 0.7206, kb_relative_information_score: 0.737, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7762, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8399, kappa: 0.8211, kb_relative_information_score: 0.8316, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8413, predictive_accuracy: 0.839, prior_entropy: 3.3219, recall: 0.839, relative_absolute_error: 0.1789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.5981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.819, kappa: 0.7956, kb_relative_information_score: 0.8076, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8284, predictive_accuracy: 0.816, prior_entropy: 3.3219, recall: 0.816, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8446, kappa: 0.8267, kb_relative_information_score: 0.8369, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8454, predictive_accuracy: 0.844, prior_entropy: 3.3219, recall: 0.844, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8477, kappa: 0.8306, kb_relative_information_score: 0.8405, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8482, predictive_accuracy: 0.8475, prior_entropy: 3.3219, recall: 0.8475, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.6529, kappa: 0.6156, kb_relative_information_score: 0.6382, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.692, predictive_accuracy: 0.654, prior_entropy: 3.3219, recall: 0.654, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8421, kappa: 0.8239, kb_relative_information_score: 0.8342, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8428, predictive_accuracy: 0.8415, prior_entropy: 3.3219, recall: 0.8415, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.178, root_relative_squared_error: 0.5935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8426, kappa: 0.8244, kb_relative_information_score: 0.8348, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8435, predictive_accuracy: 0.842, prior_entropy: 3.3219, recall: 0.842, relative_absolute_error: 0.1756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.6881, kappa: 0.6456, kb_relative_information_score: 0.6664, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7539, predictive_accuracy: 0.681, prior_entropy: 3.3219, recall: 0.681, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8408, kappa: 0.8228, kb_relative_information_score: 0.8332, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8414, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.1772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.5954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8445, kappa: 0.8272, kb_relative_information_score: 0.8374, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8454, predictive_accuracy: 0.8445, prior_entropy: 3.3219, recall: 0.8445, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.5878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7326, kappa: 0.7061, kb_relative_information_score: 0.7234, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7357, predictive_accuracy: 0.7355, prior_entropy: 3.3219, recall: 0.7355, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.23, root_relative_squared_error: 0.7667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8078, f_measure: 0.6512, kappa: 0.6156, kb_relative_information_score: 0.6382, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6933, predictive_accuracy: 0.654, prior_entropy: 3.3219, recall: 0.654, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.8769,

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