OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24077 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: 0.5272, f_measure: 0.128, kappa: 0.0544, kb_relative_information_score: 0.1101, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6959, predictive_accuracy: 0.149, prior_entropy: 3.3219, recall: 0.149, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.3752,
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: 0.6178, 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: 0.6297, f_measure: 0.3635, kappa: 0.2594, kb_relative_information_score: 0.303, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7129, predictive_accuracy: 0.3335, prior_entropy: 3.3219, recall: 0.3335, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.217,
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: 0.9122, 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: 0.91, 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: 0.7436, 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: 0.9072, f_measure: 0.8333, 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: 0.8341, 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: 0.7714, f_measure: 0.5887, kappa: 0.5428, kb_relative_information_score: 0.5697, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5985, predictive_accuracy: 0.5885, prior_entropy: 3.3219, recall: 0.5885, relative_absolute_error: 0.4572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.9563,
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: 0.8906, f_measure: 0.8013, kappa: 0.7811, kb_relative_information_score: 0.794, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8031, predictive_accuracy: 0.803, prior_entropy: 3.3219, recall: 0.803, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.7932, kappa: 0.7722, kb_relative_information_score: 0.7856, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.797, predictive_accuracy: 0.795, prior_entropy: 3.3219, recall: 0.795, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.6749,
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: 0.8747, f_measure: 0.7727, kappa: 0.7494, kb_relative_information_score: 0.7642, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7828, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.7079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.7899, kappa: 0.7689, kb_relative_information_score: 0.7825, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7941, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.6799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.6951, kappa: 0.6617, kb_relative_information_score: 0.6816, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7203, predictive_accuracy: 0.6955, prior_entropy: 3.3219, recall: 0.6955, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.7897, kappa: 0.7694, kb_relative_information_score: 0.783, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.796, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.2306, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.6791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7157, kappa: 0.6839, kb_relative_information_score: 0.7025, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7358, predictive_accuracy: 0.7155, prior_entropy: 3.3219, recall: 0.7155, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.7951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, f_measure: 0.8111, kappa: 0.7917, kb_relative_information_score: 0.8039, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.814, predictive_accuracy: 0.8125, prior_entropy: 3.3219, recall: 0.8125, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.1315, kappa: 0.0578, kb_relative_information_score: 0.1132, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6974, predictive_accuracy: 0.152, prior_entropy: 3.3219, recall: 0.152, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.741, kappa: 0.7128, kb_relative_information_score: 0.7297, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.751, predictive_accuracy: 0.7415, prior_entropy: 3.3219, recall: 0.7415, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.7579,
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: 0.5214, f_measure: 0.1113, kappa: 0.0428, kb_relative_information_score: 0.0991, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7173, predictive_accuracy: 0.1385, prior_entropy: 3.3219, recall: 0.1385, relative_absolute_error: 0.9572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.3836,
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: 0.8942, 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: 0.5303, f_measure: 0.1347, kappa: 0.0606, kb_relative_information_score: 0.1158, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6977, predictive_accuracy: 0.1545, prior_entropy: 3.3219, recall: 0.1545, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4112, root_relative_squared_error: 1.3707,
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: 0.5378, 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: 0.7222, f_measure: 0.5002, kappa: 0.4444, kb_relative_information_score: 0.4771, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5271, predictive_accuracy: 0.5, prior_entropy: 3.3219, recall: 0.5, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3162, root_relative_squared_error: 1.0541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.7137, kappa: 0.6739, kb_relative_information_score: 0.6931, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7737, predictive_accuracy: 0.7065, prior_entropy: 3.3219, recall: 0.7065, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8076,
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: 0.8961, 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: 0.5553, 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: 0.9089, 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: 0.9089, f_measure: 0.8363, 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: 0.8371, 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: 0.9111, f_measure: 0.8403, 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: 0.8412, 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: 0.9131, f_measure: 0.844, 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: 0.845, 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: 0.8756, 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: 0.6022, f_measure: 0.3045, kappa: 0.2044, kb_relative_information_score: 0.2512, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6958, predictive_accuracy: 0.284, prior_entropy: 3.3219, recall: 0.284, relative_absolute_error: 0.7956, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.2614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.7752, kappa: 0.75, kb_relative_information_score: 0.7647, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7792, predictive_accuracy: 0.775, prior_entropy: 3.3219, recall: 0.775, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.7071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7497, kappa: 0.7217, kb_relative_information_score: 0.738, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7561, predictive_accuracy: 0.7495, prior_entropy: 3.3219, recall: 0.7495, relative_absolute_error: 0.2783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.7461,
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: 0.8742, f_measure: 0.7724, kappa: 0.7483, kb_relative_information_score: 0.7631, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7737, predictive_accuracy: 0.7735, prior_entropy: 3.3219, recall: 0.7735, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.7095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.3781, kappa: 0.2728, kb_relative_information_score: 0.3156, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7101, predictive_accuracy: 0.3455, prior_entropy: 3.3219, recall: 0.3455, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3618, root_relative_squared_error: 1.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.3149, kappa: 0.2139, kb_relative_information_score: 0.2601, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6997, predictive_accuracy: 0.2925, prior_entropy: 3.3219, recall: 0.2925, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.2539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.8431, 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: 0.8442, 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: 0.6344, f_measure: 0.3746, kappa: 0.2689, kb_relative_information_score: 0.3119, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7132, predictive_accuracy: 0.342, prior_entropy: 3.3219, recall: 0.342, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3628, root_relative_squared_error: 1.2092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.3357, kappa: 0.2339, kb_relative_information_score: 0.279, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6983, predictive_accuracy: 0.3105, prior_entropy: 3.3219, recall: 0.3105, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3713, root_relative_squared_error: 1.2378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.3053, kappa: 0.205, kb_relative_information_score: 0.2518, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6962, predictive_accuracy: 0.2845, prior_entropy: 3.3219, recall: 0.2845, relative_absolute_error: 0.795, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3783, root_relative_squared_error: 1.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.765, kappa: 0.7389, kb_relative_information_score: 0.7542, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7702, predictive_accuracy: 0.765, prior_entropy: 3.3219, recall: 0.765, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.7226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5939, f_measure: 0.287, kappa: 0.1878, kb_relative_information_score: 0.2356, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7025, predictive_accuracy: 0.269, prior_entropy: 3.3219, recall: 0.269, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3824, root_relative_squared_error: 1.2745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8356, 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: 0.8359, 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: 0.5053, 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: 0.9083, f_measure: 0.8342, kappa: 0.8167, kb_relative_information_score: 0.8275, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8342, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6055,
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: 0.9131, f_measure: 0.843, 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: 0.8433, 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: 0.6325, f_measure: 0.3697, kappa: 0.265, kb_relative_information_score: 0.3082, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7125, predictive_accuracy: 0.3385, prior_entropy: 3.3219, recall: 0.3385, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3637, root_relative_squared_error: 1.2124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8415, 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: 0.8416, 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: 0.9117, f_measure: 0.8405, 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: 0.8407, 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: 0.9122, 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: 0.905, f_measure: 0.8288, kappa: 0.81, kb_relative_information_score: 0.8212, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8296, predictive_accuracy: 0.829, prior_entropy: 3.3219, recall: 0.829, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.6164,
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: 0.5856, 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: 0.915, 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: 0.9153, 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: 0.915, f_measure: 0.847, 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: 0.8472, 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: 0.8228, 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: 0.5758, f_measure: 0.2358, kappa: 0.1517, kb_relative_information_score: 0.2016, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6679, predictive_accuracy: 0.2365, prior_entropy: 3.3219, recall: 0.2365, relative_absolute_error: 0.8483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3908, root_relative_squared_error: 1.3026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.5178, kappa: 0.4211, kb_relative_information_score: 0.4552, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7171, predictive_accuracy: 0.479, prior_entropy: 3.3219, recall: 0.479, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3228, root_relative_squared_error: 1.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8257, 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: 0.9136, 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: 0.9081, f_measure: 0.8354, kappa: 0.8161, kb_relative_information_score: 0.8269, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8366, predictive_accuracy: 0.8345, prior_entropy: 3.3219, recall: 0.8345, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.6064,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.828, kappa: 0.8094, kb_relative_information_score: 0.8207, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8281, predictive_accuracy: 0.8285, prior_entropy: 3.3219, recall: 0.8285, relative_absolute_error: 0.1906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.6173,
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: 0.9128, f_measure: 0.8431, 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: 0.8439, 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: 0.9086, 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: 0.9114, 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: 0.8917, f_measure: 0.802, kappa: 0.7833, kb_relative_information_score: 0.7961, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8058, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.6583,
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: 0.9125, 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: 0.8897, f_measure: 0.7987, kappa: 0.7794, kb_relative_information_score: 0.7924, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8035, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2206, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6642,
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: 0.9144, f_measure: 0.8462, 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: 0.8467, 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: 0.8078, 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: 0.8408, f_measure: 0.7128, kappa: 0.6817, kb_relative_information_score: 0.7004, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7298, predictive_accuracy: 0.7135, prior_entropy: 3.3219, recall: 0.7135, relative_absolute_error: 0.3183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.735, kappa: 0.6989, kb_relative_information_score: 0.7166, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7747, predictive_accuracy: 0.729, prior_entropy: 3.3219, recall: 0.729, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.776,
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: 0.8531, 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: 0.9114, 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: 0.6806, 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: 0.6736, f_measure: 0.4498, kappa: 0.3472, kb_relative_information_score: 0.3856, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7172, predictive_accuracy: 0.4125, prior_entropy: 3.3219, recall: 0.4125, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3428, root_relative_squared_error: 1.1426,
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: 0.9083, f_measure: 0.8356, kappa: 0.8167, kb_relative_information_score: 0.8275, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8368, predictive_accuracy: 0.835, prior_entropy: 3.3219, recall: 0.835, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8207, kappa: 0.8017, kb_relative_information_score: 0.8133, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8227, predictive_accuracy: 0.8215, prior_entropy: 3.3219, recall: 0.8215, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8366, kappa: 0.8183, kb_relative_information_score: 0.829, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8371, predictive_accuracy: 0.8365, prior_entropy: 3.3219, recall: 0.8365, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.6028,
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: 0.9133, 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: 0.8978, 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,

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