OpenML
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 18299 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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18299 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.7342, kappa: 0.7044, kb_relative_information_score: 1468.7615, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7397, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.6518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7374, kappa: 0.7078, kb_relative_information_score: 1467.0692, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7421, predictive_accuracy: 0.737, prior_entropy: 3.3219, recall: 0.737, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7402, kappa: 0.7139, kb_relative_information_score: 1502.4445, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7438, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.7419, kappa: 0.7156, kb_relative_information_score: 1502.9389, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7433, predictive_accuracy: 0.744, prior_entropy: 3.3219, recall: 0.744, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.6329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.7591, kappa: 0.7322, kb_relative_information_score: 1496.027, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7622, predictive_accuracy: 0.759, prior_entropy: 3.3219, recall: 0.759, relative_absolute_error: 0.3214, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.6479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.7345, kappa: 0.7044, kb_relative_information_score: 1462.5014, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7393, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.6582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.7408, kappa: 0.7144, kb_relative_information_score: 1502.4046, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7443, predictive_accuracy: 0.743, prior_entropy: 3.3219, recall: 0.743, relative_absolute_error: 0.3435, 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: 0.9127, f_measure: 0.7685, kappa: 0.7422, kb_relative_information_score: 1556.1463, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7699, predictive_accuracy: 0.768, prior_entropy: 3.3219, recall: 0.768, relative_absolute_error: 0.265, 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: 0.8884, f_measure: 0.7497, kappa: 0.7211, kb_relative_information_score: 1510.6711, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.751, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.6943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.7441, kappa: 0.7178, kb_relative_information_score: 1511.4225, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7454, predictive_accuracy: 0.746, prior_entropy: 3.3219, recall: 0.746, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.19, root_relative_squared_error: 0.6334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.7666, kappa: 0.7411, kb_relative_information_score: 1542.6465, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7668, predictive_accuracy: 0.767, prior_entropy: 3.3219, recall: 0.767, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.7457, kappa: 0.7194, kb_relative_information_score: 1513.2291, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7472, predictive_accuracy: 0.7475, prior_entropy: 3.3219, recall: 0.7475, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.7365, kappa: 0.7067, kb_relative_information_score: 1465.6779, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7414, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.3486, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.7413, kappa: 0.7161, kb_relative_information_score: 1497.0641, mean_absolute_error: 0.0619, 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: 0.344, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.7402, kappa: 0.7139, kb_relative_information_score: 1503.1513, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7413, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, 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: 0.8962, f_measure: 0.7503, kappa: 0.72, kb_relative_information_score: 1504.4147, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7538, predictive_accuracy: 0.748, prior_entropy: 3.3219, recall: 0.748, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.6858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.7341, kappa: 0.7028, kb_relative_information_score: 1445.2369, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7415, predictive_accuracy: 0.7325, prior_entropy: 3.3219, recall: 0.7325, relative_absolute_error: 0.366, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.6523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.7715, kappa: 0.7467, kb_relative_information_score: 1542.2168, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7722, predictive_accuracy: 0.772, prior_entropy: 3.3219, recall: 0.772, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.6317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7645, kappa: 0.7383, kb_relative_information_score: 1537.3521, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7652, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2632, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.6771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.7392, kappa: 0.7094, kb_relative_information_score: 1461.7349, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7452, predictive_accuracy: 0.7385, prior_entropy: 3.3219, recall: 0.7385, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.6492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.7331, kappa: 0.7033, kb_relative_information_score: 1470.3294, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7386, predictive_accuracy: 0.733, prior_entropy: 3.3219, recall: 0.733, relative_absolute_error: 0.3484, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.6509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.763, kappa: 0.7361, kb_relative_information_score: 1533.6405, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7644, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.7636, kappa: 0.7383, kb_relative_information_score: 1527.9522, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7632, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.6859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.7671, kappa: 0.7417, kb_relative_information_score: 1541.7952, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7676, predictive_accuracy: 0.7675, prior_entropy: 3.3219, recall: 0.7675, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.6445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.7519, kappa: 0.7256, kb_relative_information_score: 1503.8584, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7536, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.3155, 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: 0.9415, f_measure: 0.7446, kappa: 0.7178, kb_relative_information_score: 1514.482, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7457, predictive_accuracy: 0.746, prior_entropy: 3.3219, recall: 0.746, relative_absolute_error: 0.3296, 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: 0.9087, f_measure: 0.7477, kappa: 0.72, kb_relative_information_score: 1502.3316, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7482, predictive_accuracy: 0.748, prior_entropy: 3.3219, recall: 0.748, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.6698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9273, f_measure: 0.7591, kappa: 0.7322, kb_relative_information_score: 1494.2304, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7622, predictive_accuracy: 0.759, prior_entropy: 3.3219, recall: 0.759, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.6479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.7403, kappa: 0.715, kb_relative_information_score: 1495.7386, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7422, predictive_accuracy: 0.7435, prior_entropy: 3.3219, recall: 0.7435, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.7657, kappa: 0.7394, kb_relative_information_score: 1542.9924, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7665, predictive_accuracy: 0.7655, prior_entropy: 3.3219, recall: 0.7655, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.7591, kappa: 0.7322, kb_relative_information_score: 1503.669, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7601, predictive_accuracy: 0.759, prior_entropy: 3.3219, recall: 0.759, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.6588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, f_measure: 0.743, kappa: 0.7139, kb_relative_information_score: 1494.3138, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7437, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.7047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.7402, kappa: 0.7133, kb_relative_information_score: 1500.4374, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7439, predictive_accuracy: 0.742, prior_entropy: 3.3219, recall: 0.742, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.7611, kappa: 0.7344, kb_relative_information_score: 1532.1281, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7624, predictive_accuracy: 0.761, prior_entropy: 3.3219, recall: 0.761, relative_absolute_error: 0.2946, 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: 0.9205, f_measure: 0.7631, kappa: 0.7367, kb_relative_information_score: 1534.3118, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7641, predictive_accuracy: 0.763, prior_entropy: 3.3219, recall: 0.763, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.194, root_relative_squared_error: 0.6468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.7432, kappa: 0.7139, kb_relative_information_score: 1458.3023, mean_absolute_error: 0.0644, 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: 0.3578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.7529, kappa: 0.7244, kb_relative_information_score: 1506.7738, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7551, predictive_accuracy: 0.752, prior_entropy: 3.3219, recall: 0.752, relative_absolute_error: 0.2981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.7386, kappa: 0.7089, kb_relative_information_score: 1466.8297, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7433, predictive_accuracy: 0.738, prior_entropy: 3.3219, recall: 0.738, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.6552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.7505, kappa: 0.7211, kb_relative_information_score: 1496.3718, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7525, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.212, root_relative_squared_error: 0.7066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.7517, kappa: 0.7239, kb_relative_information_score: 1499.4866, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7531, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.6874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.7555, kappa: 0.7272, kb_relative_information_score: 1509.0033, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7578, predictive_accuracy: 0.7545, prior_entropy: 3.3219, recall: 0.7545, relative_absolute_error: 0.3009, 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: 0.9352, f_measure: 0.7544, kappa: 0.7278, kb_relative_information_score: 1527.1179, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7552, predictive_accuracy: 0.755, prior_entropy: 3.3219, recall: 0.755, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.19, root_relative_squared_error: 0.6335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.7597, kappa: 0.7333, kb_relative_information_score: 1532.517, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7603, predictive_accuracy: 0.76, prior_entropy: 3.3219, recall: 0.76, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.738, kappa: 0.7083, kb_relative_information_score: 1476.1203, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7432, predictive_accuracy: 0.7375, prior_entropy: 3.3219, recall: 0.7375, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.6528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.7655, kappa: 0.7394, kb_relative_information_score: 1539.4851, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7659, predictive_accuracy: 0.7655, prior_entropy: 3.3219, recall: 0.7655, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.197, root_relative_squared_error: 0.6568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.7343, kappa: 0.7044, kb_relative_information_score: 1470.4928, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7398, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.3486, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.7735, kappa: 0.7489, kb_relative_information_score: 1559.2591, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7737, predictive_accuracy: 0.774, prior_entropy: 3.3219, recall: 0.774, relative_absolute_error: 0.2724, 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: 0.942, f_measure: 0.7436, kappa: 0.7167, kb_relative_information_score: 1514.0258, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7449, predictive_accuracy: 0.745, prior_entropy: 3.3219, recall: 0.745, relative_absolute_error: 0.3293, 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: 0.9426, f_measure: 0.7441, kappa: 0.7178, kb_relative_information_score: 1509.4897, mean_absolute_error: 0.0598, 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: 0.3324, 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: 0.8982, f_measure: 0.7668, kappa: 0.7406, kb_relative_information_score: 1534.3455, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7675, predictive_accuracy: 0.7665, prior_entropy: 3.3219, recall: 0.7665, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.6747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.7457, kappa: 0.715, kb_relative_information_score: 1493.3232, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7506, predictive_accuracy: 0.7435, prior_entropy: 3.3219, recall: 0.7435, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.6752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.7599, kappa: 0.7333, kb_relative_information_score: 1528.7054, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7605, predictive_accuracy: 0.76, prior_entropy: 3.3219, recall: 0.76, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.197, root_relative_squared_error: 0.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.7633, kappa: 0.7372, kb_relative_information_score: 1535.1851, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7639, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.6551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.7498, kappa: 0.7228, kb_relative_information_score: 1523.909, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7507, predictive_accuracy: 0.7505, prior_entropy: 3.3219, recall: 0.7505, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.7441, kappa: 0.7178, kb_relative_information_score: 1512.2952, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7454, predictive_accuracy: 0.746, prior_entropy: 3.3219, recall: 0.746, relative_absolute_error: 0.3314, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.6321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.7509, kappa: 0.7244, kb_relative_information_score: 1525.6585, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7517, predictive_accuracy: 0.752, prior_entropy: 3.3219, recall: 0.752, relative_absolute_error: 0.3191, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.7342, kappa: 0.7044, kb_relative_information_score: 1470.1835, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7397, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.3492, 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: 0.9251, f_measure: 0.7504, kappa: 0.7239, kb_relative_information_score: 1504.3732, mean_absolute_error: 0.0566, 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: 0.3147, 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: 0.9314, f_measure: 0.753, kappa: 0.7256, kb_relative_information_score: 1489.6698, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7562, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.194, root_relative_squared_error: 0.6465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.7672, kappa: 0.7411, kb_relative_information_score: 1535.8382, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7678, predictive_accuracy: 0.767, prior_entropy: 3.3219, recall: 0.767, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.7526, kappa: 0.725, kb_relative_information_score: 1489.6517, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7558, predictive_accuracy: 0.7525, prior_entropy: 3.3219, recall: 0.7525, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.7711, kappa: 0.7456, kb_relative_information_score: 1550.9785, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7723, predictive_accuracy: 0.771, prior_entropy: 3.3219, recall: 0.771, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.6477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.7542, kappa: 0.7256, kb_relative_information_score: 1510.4775, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7562, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.6788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.7549, kappa: 0.7283, kb_relative_information_score: 1513.7172, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7558, predictive_accuracy: 0.7555, prior_entropy: 3.3219, recall: 0.7555, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.6731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.754, kappa: 0.7272, kb_relative_information_score: 1498.2248, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7564, predictive_accuracy: 0.7545, prior_entropy: 3.3219, recall: 0.7545, 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: 0.9398, f_measure: 0.7347, kappa: 0.7033, kb_relative_information_score: 1444.3742, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.742, predictive_accuracy: 0.733, prior_entropy: 3.3219, recall: 0.733, 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: 0.9183, f_measure: 0.7636, kappa: 0.7367, kb_relative_information_score: 1538.8153, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7652, predictive_accuracy: 0.763, prior_entropy: 3.3219, recall: 0.763, relative_absolute_error: 0.2848, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.7531, kappa: 0.7239, kb_relative_information_score: 1510.0773, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7561, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.6698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.7606, kappa: 0.7339, kb_relative_information_score: 1531.7028, 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: 0.2945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.7563, kappa: 0.73, kb_relative_information_score: 1525.9419, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7569, predictive_accuracy: 0.757, prior_entropy: 3.3219, recall: 0.757, relative_absolute_error: 0.3124, 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: 0.9365, f_measure: 0.7389, kappa: 0.7094, kb_relative_information_score: 1461.2436, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7446, predictive_accuracy: 0.7385, prior_entropy: 3.3219, recall: 0.7385, relative_absolute_error: 0.3567, 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: 0.9381, f_measure: 0.7382, kappa: 0.7083, kb_relative_information_score: 1461.8026, mean_absolute_error: 0.0641, 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: 0.3563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.195, root_relative_squared_error: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.7445, kappa: 0.715, kb_relative_information_score: 1498.6326, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.746, predictive_accuracy: 0.7435, prior_entropy: 3.3219, recall: 0.7435, relative_absolute_error: 0.2899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.7018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.7506, kappa: 0.7244, kb_relative_information_score: 1519.0441, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7522, predictive_accuracy: 0.752, prior_entropy: 3.3219, recall: 0.752, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.6328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.7342, kappa: 0.7028, kb_relative_information_score: 1446.0578, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7415, predictive_accuracy: 0.7325, prior_entropy: 3.3219, recall: 0.7325, relative_absolute_error: 0.3646, 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: 0.9376, f_measure: 0.7394, kappa: 0.71, kb_relative_information_score: 1462.797, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7452, predictive_accuracy: 0.739, prior_entropy: 3.3219, recall: 0.739, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.6496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.7427, kappa: 0.7133, kb_relative_information_score: 1458.8768, mean_absolute_error: 0.0642, 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: 0.3569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.7587, kappa: 0.7317, kb_relative_information_score: 1496.8976, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7617, predictive_accuracy: 0.7585, prior_entropy: 3.3219, recall: 0.7585, relative_absolute_error: 0.3198, 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: 0.917, f_measure: 0.7659, kappa: 0.74, kb_relative_information_score: 1550.79, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7671, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.2751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.7432, kappa: 0.7139, kb_relative_information_score: 1458.9071, mean_absolute_error: 0.0643, 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: 0.3575, 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: 0.9479, f_measure: 0.7395, kappa: 0.7128, kb_relative_information_score: 1500.3624, 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: 0.3448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.631,
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,

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