OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 19118 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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19118 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.7572, kappa: 0.7311, kb_relative_information_score: 1526.5978, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7579, predictive_accuracy: 0.758, prior_entropy: 3.3219, recall: 0.758, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.7631, kappa: 0.7372, kb_relative_information_score: 1535.155, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7638, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2968, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.6391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.7536, kappa: 0.7272, kb_relative_information_score: 1526.0763, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7543, predictive_accuracy: 0.7545, prior_entropy: 3.3219, recall: 0.7545, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.7515, kappa: 0.7222, kb_relative_information_score: 1493.7682, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7536, predictive_accuracy: 0.75, prior_entropy: 3.3219, recall: 0.75, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.7113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.7387, kappa: 0.7089, kb_relative_information_score: 1460.8333, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7447, predictive_accuracy: 0.738, prior_entropy: 3.3219, recall: 0.738, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.7395, kappa: 0.7128, kb_relative_information_score: 1500.5394, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7433, predictive_accuracy: 0.7415, prior_entropy: 3.3219, recall: 0.7415, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.6308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.7359, kappa: 0.7056, kb_relative_information_score: 1449.0258, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7419, predictive_accuracy: 0.735, prior_entropy: 3.3219, recall: 0.735, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.6544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.7414, kappa: 0.715, kb_relative_information_score: 1502.462, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7449, predictive_accuracy: 0.7435, prior_entropy: 3.3219, recall: 0.7435, relative_absolute_error: 0.3438, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.6295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.754, kappa: 0.7261, kb_relative_information_score: 1506.9573, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7558, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.6726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.7403, kappa: 0.7111, kb_relative_information_score: 1479.3182, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7455, predictive_accuracy: 0.74, prior_entropy: 3.3219, recall: 0.74, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.6498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.7364, kappa: 0.7061, kb_relative_information_score: 1449.5469, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7425, predictive_accuracy: 0.7355, prior_entropy: 3.3219, recall: 0.7355, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.7515, kappa: 0.725, kb_relative_information_score: 1522.3552, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7525, predictive_accuracy: 0.7525, prior_entropy: 3.3219, recall: 0.7525, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.7354, kappa: 0.7056, kb_relative_information_score: 1465.2139, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.74, predictive_accuracy: 0.735, prior_entropy: 3.3219, recall: 0.735, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.7532, kappa: 0.7261, kb_relative_information_score: 1502.6779, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7543, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.301, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.6809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.7674, kappa: 0.7411, kb_relative_information_score: 1531.9302, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7682, predictive_accuracy: 0.767, prior_entropy: 3.3219, recall: 0.767, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2056, root_relative_squared_error: 0.6852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.7625, kappa: 0.7367, kb_relative_information_score: 1534.23, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7628, predictive_accuracy: 0.763, prior_entropy: 3.3219, recall: 0.763, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.7497, kappa: 0.7233, kb_relative_information_score: 1518.4135, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7514, predictive_accuracy: 0.751, prior_entropy: 3.3219, recall: 0.751, relative_absolute_error: 0.3238, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.6331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.7668, kappa: 0.7411, kb_relative_information_score: 1539.9987, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7676, predictive_accuracy: 0.767, prior_entropy: 3.3219, recall: 0.767, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.6471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.7427, kappa: 0.7133, kb_relative_information_score: 1457.1244, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7473, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.3577, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.6527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.7487, kappa: 0.7222, kb_relative_information_score: 1524.9921, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7499, predictive_accuracy: 0.75, prior_entropy: 3.3219, recall: 0.75, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.7575, kappa: 0.7306, kb_relative_information_score: 1531.5023, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7591, predictive_accuracy: 0.7575, prior_entropy: 3.3219, recall: 0.7575, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.6451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.753, kappa: 0.7267, kb_relative_information_score: 1505.7399, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7547, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.3136, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.6473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.7576, kappa: 0.7306, kb_relative_information_score: 1493.8708, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7607, predictive_accuracy: 0.7575, prior_entropy: 3.3219, recall: 0.7575, relative_absolute_error: 0.3224, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.7653, kappa: 0.74, kb_relative_information_score: 1531.9771, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7659, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.192, root_relative_squared_error: 0.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.7568, kappa: 0.7306, kb_relative_information_score: 1531.2272, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7574, predictive_accuracy: 0.7575, prior_entropy: 3.3219, recall: 0.7575, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.6423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.7488, kappa: 0.7211, kb_relative_information_score: 1505.3092, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7494, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.3054, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.7332, kappa: 0.7028, kb_relative_information_score: 1461.2645, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.738, predictive_accuracy: 0.7325, prior_entropy: 3.3219, recall: 0.7325, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.7331, kappa: 0.7028, kb_relative_information_score: 1461.7074, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7379, predictive_accuracy: 0.7325, prior_entropy: 3.3219, recall: 0.7325, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.742, kappa: 0.715, kb_relative_information_score: 1502.6854, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7436, predictive_accuracy: 0.7435, prior_entropy: 3.3219, recall: 0.7435, relative_absolute_error: 0.3405, 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: 0.9393, f_measure: 0.7466, kappa: 0.72, kb_relative_information_score: 1512.5084, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7483, predictive_accuracy: 0.748, prior_entropy: 3.3219, recall: 0.748, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.6376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.7446, kappa: 0.7183, kb_relative_information_score: 1514.8561, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7459, predictive_accuracy: 0.7465, prior_entropy: 3.3219, recall: 0.7465, relative_absolute_error: 0.3295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.6308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.7541, kappa: 0.7278, kb_relative_information_score: 1502.1336, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7561, predictive_accuracy: 0.755, prior_entropy: 3.3219, recall: 0.755, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.197, root_relative_squared_error: 0.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7579, kappa: 0.7317, kb_relative_information_score: 1505.7682, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7597, predictive_accuracy: 0.7585, prior_entropy: 3.3219, recall: 0.7585, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.6528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.7341, kappa: 0.7028, kb_relative_information_score: 1444.3952, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7416, predictive_accuracy: 0.7325, prior_entropy: 3.3219, recall: 0.7325, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.74, kappa: 0.7139, kb_relative_information_score: 1494.4098, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7419, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.7391, kappa: 0.7094, kb_relative_information_score: 1467.8594, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.744, predictive_accuracy: 0.7385, prior_entropy: 3.3219, recall: 0.7385, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.7541, kappa: 0.725, kb_relative_information_score: 1505.6922, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7563, predictive_accuracy: 0.7525, prior_entropy: 3.3219, recall: 0.7525, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.6917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.7545, kappa: 0.725, kb_relative_information_score: 1501.6428, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7573, predictive_accuracy: 0.7525, prior_entropy: 3.3219, recall: 0.7525, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.7051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.7333, kappa: 0.7033, kb_relative_information_score: 1468.6647, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7389, predictive_accuracy: 0.733, prior_entropy: 3.3219, recall: 0.733, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.6516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.7532, kappa: 0.7267, kb_relative_information_score: 1504.1566, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7548, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.6478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.755, kappa: 0.7289, kb_relative_information_score: 1523.7073, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7554, predictive_accuracy: 0.756, prior_entropy: 3.3219, recall: 0.756, relative_absolute_error: 0.3149, 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: 0.9166, f_measure: 0.7697, kappa: 0.7444, kb_relative_information_score: 1557.6322, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 3.3219, recall: 0.77, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.6413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.7322, kappa: 0.7022, kb_relative_information_score: 1466.3301, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7378, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.3515, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.6535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.7491, kappa: 0.7228, kb_relative_information_score: 1516.6833, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7506, predictive_accuracy: 0.7505, prior_entropy: 3.3219, recall: 0.7505, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.7512, kappa: 0.7217, kb_relative_information_score: 1498.3311, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7547, predictive_accuracy: 0.7495, prior_entropy: 3.3219, recall: 0.7495, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2028, root_relative_squared_error: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.7648, kappa: 0.7389, kb_relative_information_score: 1531.6435, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7649, predictive_accuracy: 0.765, prior_entropy: 3.3219, recall: 0.765, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.204, root_relative_squared_error: 0.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.7432, kappa: 0.7139, kb_relative_information_score: 1460.6879, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7479, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, relative_absolute_error: 0.3558, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.6494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.7527, kappa: 0.725, kb_relative_information_score: 1505.8026, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7541, predictive_accuracy: 0.7525, prior_entropy: 3.3219, recall: 0.7525, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.6772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.7526, kappa: 0.7256, kb_relative_information_score: 1505.019, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7533, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.3069, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.7601, kappa: 0.7333, kb_relative_information_score: 1499.7765, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7633, predictive_accuracy: 0.76, prior_entropy: 3.3219, recall: 0.76, relative_absolute_error: 0.3192, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.7642, kappa: 0.7383, kb_relative_information_score: 1530.0949, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7643, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.7678, kappa: 0.7417, kb_relative_information_score: 1539.2595, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7687, predictive_accuracy: 0.7675, prior_entropy: 3.3219, recall: 0.7675, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.6786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.7494, kappa: 0.7206, kb_relative_information_score: 1495.6485, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7508, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.6936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.7409, kappa: 0.7144, kb_relative_information_score: 1502.4929, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.742, predictive_accuracy: 0.743, prior_entropy: 3.3219, recall: 0.743, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.7414, kappa: 0.7161, kb_relative_information_score: 1499.7257, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7433, predictive_accuracy: 0.7445, prior_entropy: 3.3219, recall: 0.7445, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.7504, kappa: 0.7239, kb_relative_information_score: 1502.9029, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.752, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.7526, kappa: 0.725, kb_relative_information_score: 1488.0552, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.756, predictive_accuracy: 0.7525, prior_entropy: 3.3219, recall: 0.7525, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.6484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7546, kappa: 0.7283, kb_relative_information_score: 1525.3033, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7552, predictive_accuracy: 0.7555, prior_entropy: 3.3219, recall: 0.7555, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.7409, kappa: 0.7144, kb_relative_information_score: 1501.5434, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7442, predictive_accuracy: 0.743, prior_entropy: 3.3219, recall: 0.743, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.744, kappa: 0.7172, kb_relative_information_score: 1503.5502, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7458, predictive_accuracy: 0.7455, prior_entropy: 3.3219, recall: 0.7455, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.6316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.7596, kappa: 0.7328, kb_relative_information_score: 1497.2751, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7627, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.3199, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.6461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.7613, kappa: 0.735, kb_relative_information_score: 1536.06, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.762, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.6476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.7473, kappa: 0.7206, kb_relative_information_score: 1512.6973, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7491, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7566, kappa: 0.7283, kb_relative_information_score: 1492.4595, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7581, predictive_accuracy: 0.7555, prior_entropy: 3.3219, recall: 0.7555, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.7297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.7456, kappa: 0.7189, kb_relative_information_score: 1514.6221, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7468, predictive_accuracy: 0.747, prior_entropy: 3.3219, recall: 0.747, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.6357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.7444, kappa: 0.7183, kb_relative_information_score: 1505.9744, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7461, predictive_accuracy: 0.7465, prior_entropy: 3.3219, recall: 0.7465, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.6306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.7438, kappa: 0.7178, kb_relative_information_score: 1506.1355, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7455, predictive_accuracy: 0.746, prior_entropy: 3.3219, recall: 0.746, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.6307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.7508, kappa: 0.7211, kb_relative_information_score: 1506.9158, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7538, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.6975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.743, kappa: 0.7161, kb_relative_information_score: 1503.7174, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7447, predictive_accuracy: 0.7445, prior_entropy: 3.3219, recall: 0.7445, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.7419, kappa: 0.715, kb_relative_information_score: 1500.9217, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7436, predictive_accuracy: 0.7435, prior_entropy: 3.3219, recall: 0.7435, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.7409, kappa: 0.7144, kb_relative_information_score: 1503.4697, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7421, predictive_accuracy: 0.743, prior_entropy: 3.3219, recall: 0.743, relative_absolute_error: 0.3382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.7403, kappa: 0.7139, kb_relative_information_score: 1501.8057, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.7529, kappa: 0.7256, kb_relative_information_score: 1491.9393, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7561, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.6446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.7369, kappa: 0.7067, kb_relative_information_score: 1449.7983, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.743, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.7435, kappa: 0.7172, kb_relative_information_score: 1505.7752, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.745, predictive_accuracy: 0.7455, prior_entropy: 3.3219, recall: 0.7455, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.6311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.7524, kappa: 0.7256, kb_relative_information_score: 1494.5749, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7551, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.3239, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.6511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.7455, kappa: 0.7189, kb_relative_information_score: 1518.9699, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7467, predictive_accuracy: 0.747, prior_entropy: 3.3219, recall: 0.747, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.6327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.7544, kappa: 0.7283, kb_relative_information_score: 1506.3289, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7561, predictive_accuracy: 0.7555, prior_entropy: 3.3219, recall: 0.7555, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.7388, kappa: 0.7128, kb_relative_information_score: 1495.4534, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7407, predictive_accuracy: 0.7415, prior_entropy: 3.3219, recall: 0.7415, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.7607, kappa: 0.7339, kb_relative_information_score: 1534.6555, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7622, predictive_accuracy: 0.7605, prior_entropy: 3.3219, recall: 0.7605, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.193, root_relative_squared_error: 0.6433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.7396, kappa: 0.7128, kb_relative_information_score: 1501.0363, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7434, predictive_accuracy: 0.7415, prior_entropy: 3.3219, recall: 0.7415, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.189, root_relative_squared_error: 0.6301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.7364, kappa: 0.7061, kb_relative_information_score: 1448.0416, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7426, predictive_accuracy: 0.7355, prior_entropy: 3.3219, recall: 0.7355, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.6544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.7421, kappa: 0.7111, kb_relative_information_score: 1488.6266, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7456, predictive_accuracy: 0.74, prior_entropy: 3.3219, recall: 0.74, relative_absolute_error: 0.2877, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.7188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.7382, kappa: 0.7083, kb_relative_information_score: 1460.2581, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7442, predictive_accuracy: 0.7375, prior_entropy: 3.3219, recall: 0.7375, relative_absolute_error: 0.3568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.761, kappa: 0.735, kb_relative_information_score: 1532.2349, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7612, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.3042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.6363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.7586, kappa: 0.7317, kb_relative_information_score: 1510.2563, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7599, predictive_accuracy: 0.7585, prior_entropy: 3.3219, recall: 0.7585, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.7547, kappa: 0.7267, kb_relative_information_score: 1504.2571, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.757, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.7425, kappa: 0.7161, kb_relative_information_score: 1510.1988, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7438, predictive_accuracy: 0.7445, prior_entropy: 3.3219, recall: 0.7445, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.7375, kappa: 0.7078, kb_relative_information_score: 1466.1212, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7423, predictive_accuracy: 0.737, prior_entropy: 3.3219, recall: 0.737, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.6549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9091, f_measure: 0.7511, kappa: 0.7239, kb_relative_information_score: 1504.4258, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7516, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.6687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.762, kappa: 0.7361, kb_relative_information_score: 1535.4435, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7626, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.7501, kappa: 0.7228, kb_relative_information_score: 1505.2129, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7506, predictive_accuracy: 0.7505, prior_entropy: 3.3219, recall: 0.7505, relative_absolute_error: 0.3068, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.7607, kappa: 0.7339, kb_relative_information_score: 1532.6398, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7622, predictive_accuracy: 0.7605, prior_entropy: 3.3219, recall: 0.7605, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.7341, kappa: 0.7028, kb_relative_information_score: 1444.6355, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7417, predictive_accuracy: 0.7325, prior_entropy: 3.3219, recall: 0.7325, relative_absolute_error: 0.3659, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.196, root_relative_squared_error: 0.6534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.7589, kappa: 0.7322, kb_relative_information_score: 1508.539, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7597, predictive_accuracy: 0.759, prior_entropy: 3.3219, recall: 0.759, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.6573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.7659, kappa: 0.7394, kb_relative_information_score: 1529.9681, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7667, predictive_accuracy: 0.7655, prior_entropy: 3.3219, recall: 0.7655, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.7346, kappa: 0.7033, kb_relative_information_score: 1447.0888, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7422, predictive_accuracy: 0.733, prior_entropy: 3.3219, recall: 0.733, relative_absolute_error: 0.3645, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.6518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.7683, kappa: 0.7428, kb_relative_information_score: 1545.0418, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.769, predictive_accuracy: 0.7685, prior_entropy: 3.3219, recall: 0.7685, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.6407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.7591, kappa: 0.7328, kb_relative_information_score: 1532.0081, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7594, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1913, root_relative_squared_error: 0.6378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.7321, kappa: 0.7022, kb_relative_information_score: 1467.2412, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7376, predictive_accuracy: 0.732, prior_entropy: 3.3219, recall: 0.732, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.6528,

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