Task
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: 0.8989, f_measure: 0.8165, kappa: 0.7978, kb_relative_information_score: 0.8097, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8176, predictive_accuracy: 0.818, prior_entropy: 3.3219, recall: 0.818, relative_absolute_error: 0.2022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.371, kappa: 0.3917, kb_relative_information_score: 0.4274, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6791, predictive_accuracy: 0.4525, prior_entropy: 3.3219, recall: 0.4525, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.6962, 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: 0.7201, 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: 0.8947, f_measure: 0.8083, kappa: 0.7894, kb_relative_information_score: 0.8018, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.811, predictive_accuracy: 0.8105, prior_entropy: 3.3219, recall: 0.8105, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.6489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9072, f_measure: 0.8342, 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: 0.8367, 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: 0.8997, f_measure: 0.8216, kappa: 0.7994, kb_relative_information_score: 0.8112, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8276, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.19, root_relative_squared_error: 0.6333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.6946, kappa: 0.6611, kb_relative_information_score: 0.681, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7196, predictive_accuracy: 0.695, prior_entropy: 3.3219, recall: 0.695, relative_absolute_error: 0.3389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.247, root_relative_squared_error: 0.8233,
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: 0.6506, f_measure: 0.3755, kappa: 0.3011, kb_relative_information_score: 0.3422, mean_absolute_error: 0.1258, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3907, predictive_accuracy: 0.371, prior_entropy: 3.3219, recall: 0.371, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3547, root_relative_squared_error: 1.1823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8316, kappa: 0.8133, kb_relative_information_score: 0.8243, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8321, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4458, f_measure: 0.0015, kappa: -0.1083, kb_relative_information_score: -0.0431, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0012, predictive_accuracy: 0.0025, prior_entropy: 3.3219, recall: 0.0025, relative_absolute_error: 1.1083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4467, root_relative_squared_error: 1.4888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, f_measure: 0.7559, kappa: 0.7194, kb_relative_information_score: 0.7359, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7952, predictive_accuracy: 0.7475, prior_entropy: 3.3219, recall: 0.7475, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.7491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4697, f_measure: 0.0436, kappa: -0.0606, kb_relative_information_score: 0.0018, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0539, predictive_accuracy: 0.0455, prior_entropy: 3.3219, recall: 0.0455, relative_absolute_error: 1.0606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4369, root_relative_squared_error: 1.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7638, kappa: 0.7378, kb_relative_information_score: 0.7532, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7736, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2622, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5356, f_measure: 0.1462, kappa: 0.0711, kb_relative_information_score: 0.1257, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7777, predictive_accuracy: 0.164, prior_entropy: 3.3219, recall: 0.164, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4089, root_relative_squared_error: 1.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.3072, kappa: 0.2067, kb_relative_information_score: 0.2533, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6968, predictive_accuracy: 0.286, prior_entropy: 3.3219, recall: 0.286, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3779, root_relative_squared_error: 1.2596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.455, kappa: 0.3533, kb_relative_information_score: 0.3914, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7166, predictive_accuracy: 0.418, prior_entropy: 3.3219, recall: 0.418, relative_absolute_error: 0.6467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3412, root_relative_squared_error: 1.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.6463, kappa: 0.5928, kb_relative_information_score: 0.6167, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7271, predictive_accuracy: 0.6335, prior_entropy: 3.3219, recall: 0.6335, relative_absolute_error: 0.4072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7369, kappa: 0.7083, kb_relative_information_score: 0.7255, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7397, predictive_accuracy: 0.7375, prior_entropy: 3.3219, recall: 0.7375, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.7638,
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: 0.8434, 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: 0.9011, f_measure: 0.823, kappa: 0.8022, kb_relative_information_score: 0.8139, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8255, predictive_accuracy: 0.822, prior_entropy: 3.3219, recall: 0.822, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9092, f_measure: 0.8368, 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: 0.8377, 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: 0.9125, f_measure: 0.8429, 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: 0.8436, 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: 0.8858, f_measure: 0.7927, kappa: 0.7717, kb_relative_information_score: 0.7851, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7964, predictive_accuracy: 0.7945, prior_entropy: 3.3219, recall: 0.7945, relative_absolute_error: 0.2283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8405, 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: 0.8412, 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: 0.9125, f_measure: 0.8428, 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: 0.8434, 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: 0.9086, f_measure: 0.8363, 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: 0.8375, 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: 0.6025, 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: 0.6364, 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: 0.9089, 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: 0.9131, 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: 0.9089, f_measure: 0.8365, 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: 0.8375, 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: 0.9078, f_measure: 0.8344, kappa: 0.8156, kb_relative_information_score: 0.8264, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8354, predictive_accuracy: 0.834, prior_entropy: 3.3219, recall: 0.834, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.6074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8365, 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: 0.8373, 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: 0.5289, 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: 0.9131, 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: 0.9125, 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: 0.5303, 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: 0.5214, 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: 0.6169, 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: 0.6022, 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: 0.6325, 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: 0.9111, 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: 0.9083, f_measure: 0.8354, 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: 0.8364, 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: 0.9097, f_measure: 0.838, 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: 0.8387, 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: 0.6544, f_measure: 0.4138, kappa: 0.3089, kb_relative_information_score: 0.3495, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7114, predictive_accuracy: 0.378, prior_entropy: 3.3219, recall: 0.378, relative_absolute_error: 0.6911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3527, root_relative_squared_error: 1.1757,
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: 0.8861, 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: 0.7714, 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: 0.8844, 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: 0.8747, 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: 0.8308, 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: 0.8906, 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: 0.8564, 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: 0.8975, f_measure: 0.8186, 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: 0.8282, 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: 0.8975, f_measure: 0.8186, 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: 0.8282, 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: 0.8419, 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: 0.8978, f_measure: 0.8191, 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: 0.8287, 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: 0.8847, 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: 0.9147, f_measure: 0.8468, 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: 0.8473, 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: 0.9142, 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: 0.8394, f_measure: 0.7173, kappa: 0.6789, kb_relative_information_score: 0.6978, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7648, predictive_accuracy: 0.711, prior_entropy: 3.3219, recall: 0.711, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.8014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8475, f_measure: 0.7264, kappa: 0.695, kb_relative_information_score: 0.7129, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7422, predictive_accuracy: 0.7255, prior_entropy: 3.3219, recall: 0.7255, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8319, kappa: 0.8133, kb_relative_information_score: 0.8243, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8326, predictive_accuracy: 0.832, prior_entropy: 3.3219, recall: 0.832, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.838, 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: 0.839, 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: 0.9069, f_measure: 0.8324, kappa: 0.8139, kb_relative_information_score: 0.8248, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8333, predictive_accuracy: 0.8325, prior_entropy: 3.3219, recall: 0.8325, relative_absolute_error: 0.1861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8266, kappa: 0.8089, kb_relative_information_score: 0.8201, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8294, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6182,
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: 0.8373, 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: 0.9108, f_measure: 0.8396, kappa: 0.8217, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8404, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8388, 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: 0.8398, 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: 0.9019, f_measure: 0.8226, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8246, predictive_accuracy: 0.8235, prior_entropy: 3.3219, recall: 0.8235, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8441, 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: 0.8449, 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: 0.8703, f_measure: 0.7659, 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: 0.7703, 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: 0.8833, f_measure: 0.787, 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: 0.7905, 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: 0.9044, f_measure: 0.827, kappa: 0.8089, kb_relative_information_score: 0.8201, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8281, predictive_accuracy: 0.828, prior_entropy: 3.3219, recall: 0.828, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.8136, kappa: 0.7944, kb_relative_information_score: 0.8065, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8158, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.6412,
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: 0.9083, 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: 0.9075, f_measure: 0.8332, 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: 0.8336, 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: 0.9144, f_measure: 0.8463, 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: 0.8468, 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: 0.9147, f_measure: 0.8468, 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: 0.8473, 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: 0.9097, f_measure: 0.837, 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: 0.8375, 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: 0.6533, f_measure: 0.4109, kappa: 0.3067, kb_relative_information_score: 0.3474, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7108, predictive_accuracy: 0.376, prior_entropy: 3.3219, recall: 0.376, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3533, root_relative_squared_error: 1.1776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.6408, kappa: 0.5867, kb_relative_information_score: 0.611, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7223, predictive_accuracy: 0.628, prior_entropy: 3.3219, recall: 0.628, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8385, 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: 0.8393, 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: 0.9144, f_measure: 0.8463, 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: 0.8468, 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: 0.9114, f_measure: 0.8413, 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: 0.8423, 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: 0.9108, f_measure: 0.8388, kappa: 0.8217, kb_relative_information_score: 0.8322, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8388, predictive_accuracy: 0.8395, prior_entropy: 3.3219, recall: 0.8395, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8413, 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: 0.8424, 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: 0.8639, f_measure: 0.7552, kappa: 0.7278, kb_relative_information_score: 0.7438, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.759, predictive_accuracy: 0.755, prior_entropy: 3.3219, recall: 0.755, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.7379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8213, 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: 0.8226, 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: 0.8494, 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: 0.8908, f_measure: 0.8001, kappa: 0.7817, kb_relative_information_score: 0.7945, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8045, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.2183, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.7765, kappa: 0.7539, kb_relative_information_score: 0.7684, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7793, predictive_accuracy: 0.7785, prior_entropy: 3.3219, recall: 0.7785, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.7016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.8156, kappa: 0.7967, kb_relative_information_score: 0.8086, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8181, predictive_accuracy: 0.817, prior_entropy: 3.3219, recall: 0.817, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.6377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8378, 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: 0.8381, 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: 0.6736, 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: 0.7106, 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: 0.9058, 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: 0.8369, f_measure: 0.7143, 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: 0.7654, 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,

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

OpenML APIs