OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 24373 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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24373 Runs

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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,
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: 0.9058, 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: 0.9058, 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: 0.9069, 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: 0.91, 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: 0.8958, 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: 0.8136, 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: 0.9064, f_measure: 0.8321, kappa: 0.8128, kb_relative_information_score: 0.8238, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8333, predictive_accuracy: 0.8315, prior_entropy: 3.3219, recall: 0.8315, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.6119,
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: 0.9067, 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: 0.9142, 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: 0.9097, 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: 0.9147, 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: 0.9147, 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: 0.9144, 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: 0.8475, 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: 0.9142, f_measure: 0.8455, 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: 0.8458, 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: 0.9153, f_measure: 0.8476, kappa: 0.8306, kb_relative_information_score: 0.8405, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8481, predictive_accuracy: 0.8475, prior_entropy: 3.3219, recall: 0.8475, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8456, kappa: 0.8283, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8461, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8482, kappa: 0.8311, kb_relative_information_score: 0.841, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8487, predictive_accuracy: 0.848, prior_entropy: 3.3219, recall: 0.848, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8414, kappa: 0.8239, kb_relative_information_score: 0.8342, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.842, predictive_accuracy: 0.8415, prior_entropy: 3.3219, recall: 0.8415, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.178, root_relative_squared_error: 0.5935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.7836, kappa: 0.7617, kb_relative_information_score: 0.7757, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7906, predictive_accuracy: 0.7855, prior_entropy: 3.3219, recall: 0.7855, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8083, kappa: 0.7883, kb_relative_information_score: 0.8008, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8093, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, 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: 0.6939, f_measure: 0.4455, kappa: 0.3878, kb_relative_information_score: 0.4238, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.504, predictive_accuracy: 0.449, prior_entropy: 3.3219, recall: 0.449, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.332, root_relative_squared_error: 1.1065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7375, kappa: 0.7067, kb_relative_information_score: 0.7239, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7695, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7594, kappa: 0.7344, kb_relative_information_score: 0.7501, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7751, predictive_accuracy: 0.761, prior_entropy: 3.3219, recall: 0.761, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7482, kappa: 0.7106, kb_relative_information_score: 0.7276, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7916, predictive_accuracy: 0.7395, prior_entropy: 3.3219, recall: 0.7395, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.7608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8223, kappa: 0.8028, kb_relative_information_score: 0.8144, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8232, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7964, kappa: 0.7756, kb_relative_information_score: 0.7888, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7992, predictive_accuracy: 0.798, prior_entropy: 3.3219, recall: 0.798, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.201, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7599, kappa: 0.7239, kb_relative_information_score: 0.7401, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7978, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5178, f_measure: 0.1005, kappa: 0.0356, kb_relative_information_score: 0.0923, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.716, predictive_accuracy: 0.132, prior_entropy: 3.3219, recall: 0.132, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4167, root_relative_squared_error: 1.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.0876, kappa: 0.0267, kb_relative_information_score: 0.0839, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.722, predictive_accuracy: 0.124, prior_entropy: 3.3219, recall: 0.124, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4186, root_relative_squared_error: 1.3952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, f_measure: 0.0747, kappa: 0.0183, kb_relative_information_score: 0.0761, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7307, predictive_accuracy: 0.1165, prior_entropy: 3.3219, recall: 0.1165, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.4012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5106, f_measure: 0.0794, kappa: 0.0211, kb_relative_information_score: 0.0787, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7308, predictive_accuracy: 0.119, prior_entropy: 3.3219, recall: 0.119, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.0876, kappa: 0.0267, kb_relative_information_score: 0.0839, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.722, predictive_accuracy: 0.124, prior_entropy: 3.3219, recall: 0.124, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4186, root_relative_squared_error: 1.3952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8275, 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: 0.8276, 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: 0.9044, f_measure: 0.8275, 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: 0.8276, 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: 0.9044, f_measure: 0.8275, 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: 0.8276, 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: 0.9044, f_measure: 0.8275, 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: 0.8276, 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: 0.9044, f_measure: 0.8275, 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: 0.8276, 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: 0.9097, 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: 0.9067, 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: 0.9142, 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: 0.9097, 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: 0.9147, 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: 0.9147, 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: 0.9144, 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: 0.8475, 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: 0.9142, f_measure: 0.8455, 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: 0.8458, 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: 0.9153, f_measure: 0.8476, kappa: 0.8306, kb_relative_information_score: 0.8405, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8481, predictive_accuracy: 0.8475, prior_entropy: 3.3219, recall: 0.8475, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8456, kappa: 0.8283, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8461, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8482, kappa: 0.8311, kb_relative_information_score: 0.841, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8487, predictive_accuracy: 0.848, prior_entropy: 3.3219, recall: 0.848, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8414, kappa: 0.8239, kb_relative_information_score: 0.8342, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.842, predictive_accuracy: 0.8415, prior_entropy: 3.3219, recall: 0.8415, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.178, root_relative_squared_error: 0.5935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.7836, kappa: 0.7617, kb_relative_information_score: 0.7757, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7906, predictive_accuracy: 0.7855, prior_entropy: 3.3219, recall: 0.7855, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8083, kappa: 0.7883, kb_relative_information_score: 0.8008, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8093, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, 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: 0.6939, f_measure: 0.4455, kappa: 0.3878, kb_relative_information_score: 0.4238, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.504, predictive_accuracy: 0.449, prior_entropy: 3.3219, recall: 0.449, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.332, root_relative_squared_error: 1.1065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7375, kappa: 0.7067, kb_relative_information_score: 0.7239, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7695, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7594, kappa: 0.7344, kb_relative_information_score: 0.7501, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7751, predictive_accuracy: 0.761, prior_entropy: 3.3219, recall: 0.761, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7482, kappa: 0.7106, kb_relative_information_score: 0.7276, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7916, predictive_accuracy: 0.7395, prior_entropy: 3.3219, recall: 0.7395, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.7608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8223, kappa: 0.8028, kb_relative_information_score: 0.8144, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8232, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7964, kappa: 0.7756, kb_relative_information_score: 0.7888, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7992, predictive_accuracy: 0.798, prior_entropy: 3.3219, recall: 0.798, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.201, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7599, kappa: 0.7239, kb_relative_information_score: 0.7401, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7978, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5178, f_measure: 0.1005, kappa: 0.0356, kb_relative_information_score: 0.0923, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.716, predictive_accuracy: 0.132, prior_entropy: 3.3219, recall: 0.132, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4167, root_relative_squared_error: 1.3888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.0876, kappa: 0.0267, kb_relative_information_score: 0.0839, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.722, predictive_accuracy: 0.124, prior_entropy: 3.3219, recall: 0.124, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4186, root_relative_squared_error: 1.3952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, f_measure: 0.0747, kappa: 0.0183, kb_relative_information_score: 0.0761, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7307, predictive_accuracy: 0.1165, prior_entropy: 3.3219, recall: 0.1165, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.4012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5106, f_measure: 0.0794, kappa: 0.0211, kb_relative_information_score: 0.0787, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7308, predictive_accuracy: 0.119, prior_entropy: 3.3219, recall: 0.119, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4198, root_relative_squared_error: 1.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.0876, kappa: 0.0267, kb_relative_information_score: 0.0839, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.722, predictive_accuracy: 0.124, prior_entropy: 3.3219, recall: 0.124, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4186, root_relative_squared_error: 1.3952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8275, 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: 0.8276, 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: 0.9044, f_measure: 0.8275, 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: 0.8276, 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: 0.9044, f_measure: 0.8275, 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: 0.8276, 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: 0.9044, f_measure: 0.8275, 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: 0.8276, 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: 0.9044, f_measure: 0.8275, 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: 0.8276, 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: 0.8553, f_measure: 0.7482, kappa: 0.7106, kb_relative_information_score: 0.7276, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7916, predictive_accuracy: 0.7395, prior_entropy: 3.3219, recall: 0.7395, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.7608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8582, kappa: 0.8422, kb_relative_information_score: 0.8515, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8588, predictive_accuracy: 0.858, prior_entropy: 3.3219, recall: 0.858, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8582, kappa: 0.8422, kb_relative_information_score: 0.8515, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8588, predictive_accuracy: 0.858, prior_entropy: 3.3219, recall: 0.858, relative_absolute_error: 0.1578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5617,
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: 0.9067, 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: 0.9142, 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: 0.9097, 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: 0.9147, 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: 0.9147, 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: 0.9144, 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: 0.8475, 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: 0.9142, f_measure: 0.8455, 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: 0.8458, 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: 0.9153, f_measure: 0.8476, kappa: 0.8306, kb_relative_information_score: 0.8405, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8481, predictive_accuracy: 0.8475, prior_entropy: 3.3219, recall: 0.8475, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8456, kappa: 0.8283, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8461, predictive_accuracy: 0.8455, prior_entropy: 3.3219, recall: 0.8455, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.8482, kappa: 0.8311, kb_relative_information_score: 0.841, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8487, predictive_accuracy: 0.848, prior_entropy: 3.3219, recall: 0.848, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8414, kappa: 0.8239, kb_relative_information_score: 0.8342, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.842, predictive_accuracy: 0.8415, prior_entropy: 3.3219, recall: 0.8415, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.178, root_relative_squared_error: 0.5935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.7836, kappa: 0.7617, kb_relative_information_score: 0.7757, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7906, predictive_accuracy: 0.7855, prior_entropy: 3.3219, recall: 0.7855, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8083, kappa: 0.7883, kb_relative_information_score: 0.8008, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8093, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, 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: 0.6939, f_measure: 0.4455, kappa: 0.3878, kb_relative_information_score: 0.4238, mean_absolute_error: 0.1102, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.504, predictive_accuracy: 0.449, prior_entropy: 3.3219, recall: 0.449, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.332, root_relative_squared_error: 1.1065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7375, kappa: 0.7067, kb_relative_information_score: 0.7239, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7695, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7594, kappa: 0.7344, kb_relative_information_score: 0.7501, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7751, predictive_accuracy: 0.761, prior_entropy: 3.3219, recall: 0.761, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.7288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.7482, kappa: 0.7106, kb_relative_information_score: 0.7276, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7916, predictive_accuracy: 0.7395, prior_entropy: 3.3219, recall: 0.7395, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.7608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8223, kappa: 0.8028, kb_relative_information_score: 0.8144, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8232, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.7964, kappa: 0.7756, kb_relative_information_score: 0.7888, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7992, predictive_accuracy: 0.798, prior_entropy: 3.3219, recall: 0.798, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.201, root_relative_squared_error: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.7599, kappa: 0.7239, kb_relative_information_score: 0.7401, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7978, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.2761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7431,

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