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: 0.8979, f_measure: 0.7693, kappa: 0.7439, kb_relative_information_score: 1539.8637, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7696, predictive_accuracy: 0.7695, prior_entropy: 3.3219, recall: 0.7695, relative_absolute_error: 0.267, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.6711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.7509, kappa: 0.7244, kb_relative_information_score: 1525.2681, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7518, predictive_accuracy: 0.752, prior_entropy: 3.3219, recall: 0.752, relative_absolute_error: 0.3195, 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: 0.9045, f_measure: 0.7683, kappa: 0.7422, kb_relative_information_score: 1544.974, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7695, predictive_accuracy: 0.768, prior_entropy: 3.3219, recall: 0.768, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.7566, kappa: 0.7294, kb_relative_information_score: 1512.002, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.758, predictive_accuracy: 0.7565, prior_entropy: 3.3219, recall: 0.7565, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.7531, kappa: 0.7261, kb_relative_information_score: 1523.6559, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7542, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.317, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.7432, kappa: 0.7139, kb_relative_information_score: 1458.2722, 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: 0.3574, 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: 0.9482, f_measure: 0.7408, kappa: 0.7144, kb_relative_information_score: 1500.9622, mean_absolute_error: 0.062, 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: 0.3447, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.6302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.7476, kappa: 0.7211, kb_relative_information_score: 1516.0998, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7491, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.325, 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: 0.9168, f_measure: 0.7566, kappa: 0.7294, kb_relative_information_score: 1502.2072, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7575, predictive_accuracy: 0.7565, prior_entropy: 3.3219, recall: 0.7565, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.6592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.7332, kappa: 0.7033, kb_relative_information_score: 1468.978, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7387, predictive_accuracy: 0.733, prior_entropy: 3.3219, recall: 0.733, relative_absolute_error: 0.3494, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.6526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.7665, kappa: 0.7411, kb_relative_information_score: 1531.5077, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7672, predictive_accuracy: 0.767, prior_entropy: 3.3219, recall: 0.767, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.6395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7529, kappa: 0.7267, kb_relative_information_score: 1525.0206, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7539, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.6328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.7616, kappa: 0.735, kb_relative_information_score: 1536.2425, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7631, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.7581, kappa: 0.7322, kb_relative_information_score: 1528.7819, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7586, predictive_accuracy: 0.759, prior_entropy: 3.3219, recall: 0.759, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.7432, kappa: 0.7139, kb_relative_information_score: 1457.9787, 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: 0.3575, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.6522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.7558, kappa: 0.7278, kb_relative_information_score: 1512.3402, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.757, predictive_accuracy: 0.755, prior_entropy: 3.3219, recall: 0.755, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.7352, kappa: 0.705, kb_relative_information_score: 1461.8836, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7399, predictive_accuracy: 0.7345, prior_entropy: 3.3219, recall: 0.7345, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.6531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.7596, kappa: 0.7328, kb_relative_information_score: 1499.0719, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7628, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.6443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.7576, kappa: 0.7306, kb_relative_information_score: 1532.4016, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7593, predictive_accuracy: 0.7575, prior_entropy: 3.3219, recall: 0.7575, relative_absolute_error: 0.2938, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.194, root_relative_squared_error: 0.6466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.753, kappa: 0.7267, kb_relative_information_score: 1523.1641, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7538, predictive_accuracy: 0.754, prior_entropy: 3.3219, recall: 0.754, relative_absolute_error: 0.3213, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.7403, kappa: 0.7139, kb_relative_information_score: 1502.1505, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7416, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, relative_absolute_error: 0.3391, 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: 0.9358, f_measure: 0.7515, kappa: 0.7244, kb_relative_information_score: 1525.8479, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7525, predictive_accuracy: 0.752, prior_entropy: 3.3219, recall: 0.752, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.7408, kappa: 0.7144, kb_relative_information_score: 1502.2601, mean_absolute_error: 0.0617, 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: 0.3429, 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: 0.8978, f_measure: 0.768, kappa: 0.7422, kb_relative_information_score: 1535.0242, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7685, predictive_accuracy: 0.768, prior_entropy: 3.3219, recall: 0.768, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.6752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.7477, kappa: 0.7211, kb_relative_information_score: 1520.3929, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7489, predictive_accuracy: 0.749, prior_entropy: 3.3219, recall: 0.749, relative_absolute_error: 0.3266, 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: 0.9341, f_measure: 0.7537, kappa: 0.7272, kb_relative_information_score: 1525.6891, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7544, predictive_accuracy: 0.7545, prior_entropy: 3.3219, recall: 0.7545, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.6359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.7644, kappa: 0.7378, kb_relative_information_score: 1533.7162, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7655, predictive_accuracy: 0.764, prior_entropy: 3.3219, recall: 0.764, relative_absolute_error: 0.2871, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.195, root_relative_squared_error: 0.6501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.7519, kappa: 0.7239, kb_relative_information_score: 1505.9352, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7537, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.6837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.7588, kappa: 0.7328, kb_relative_information_score: 1534.7057, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7595, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.3086, 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: 0.9373, f_measure: 0.7395, kappa: 0.71, kb_relative_information_score: 1462.1606, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7451, predictive_accuracy: 0.739, prior_entropy: 3.3219, recall: 0.739, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.6495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.7658, kappa: 0.74, kb_relative_information_score: 1536.5564, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7662, predictive_accuracy: 0.766, prior_entropy: 3.3219, recall: 0.766, relative_absolute_error: 0.2835, 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: 0.9264, f_measure: 0.7639, kappa: 0.7383, kb_relative_information_score: 1536.9567, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7644, predictive_accuracy: 0.7645, prior_entropy: 3.3219, recall: 0.7645, relative_absolute_error: 0.2956, 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: 0.9485, f_measure: 0.7403, kappa: 0.715, kb_relative_information_score: 1498.5264, mean_absolute_error: 0.0617, 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: 0.343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.6337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.7369, kappa: 0.7067, kb_relative_information_score: 1448.57, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7431, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.754, kappa: 0.725, kb_relative_information_score: 1509.5503, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7562, predictive_accuracy: 0.7525, prior_entropy: 3.3219, recall: 0.7525, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.7348, kappa: 0.705, kb_relative_information_score: 1465.0953, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7395, predictive_accuracy: 0.7345, prior_entropy: 3.3219, recall: 0.7345, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.7437, kappa: 0.7167, kb_relative_information_score: 1515.8311, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.745, predictive_accuracy: 0.745, prior_entropy: 3.3219, recall: 0.745, relative_absolute_error: 0.3276, 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: 0.9387, f_measure: 0.7364, kappa: 0.7061, kb_relative_information_score: 1448.4776, mean_absolute_error: 0.0654, 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: 0.3632, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.7466, kappa: 0.72, kb_relative_information_score: 1515.2121, 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: 0.3272, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.6358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.7489, kappa: 0.7222, kb_relative_information_score: 1519.6887, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7503, predictive_accuracy: 0.75, prior_entropy: 3.3219, recall: 0.75, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.7603, kappa: 0.7339, kb_relative_information_score: 1533.654, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7616, predictive_accuracy: 0.7605, prior_entropy: 3.3219, recall: 0.7605, relative_absolute_error: 0.2941, 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: 0.8911, f_measure: 0.7749, kappa: 0.7494, kb_relative_information_score: 1544.3171, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7754, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.2549, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.6779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.7472, kappa: 0.7206, kb_relative_information_score: 1519.2462, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7484, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.3265, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.7683, kappa: 0.7428, kb_relative_information_score: 1548.0132, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7691, predictive_accuracy: 0.7685, prior_entropy: 3.3219, recall: 0.7685, relative_absolute_error: 0.2729, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.7538, kappa: 0.7267, kb_relative_information_score: 1529.2645, mean_absolute_error: 0.0533, 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: 0.2962, 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: 0.9143, f_measure: 0.7677, kappa: 0.7417, kb_relative_information_score: 1545.8744, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7686, predictive_accuracy: 0.7675, prior_entropy: 3.3219, recall: 0.7675, relative_absolute_error: 0.2758, 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: 0.9305, f_measure: 0.7627, kappa: 0.7372, kb_relative_information_score: 1532.8657, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.763, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.3029, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.7501, kappa: 0.7233, kb_relative_information_score: 1502.1435, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7516, predictive_accuracy: 0.751, prior_entropy: 3.3219, recall: 0.751, relative_absolute_error: 0.3169, 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: 0.9404, f_measure: 0.7432, kappa: 0.7139, kb_relative_information_score: 1459.1313, 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: 0.357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.7538, kappa: 0.7272, kb_relative_information_score: 1527.2065, mean_absolute_error: 0.0565, 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: 0.3138, 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: 0.9442, f_measure: 0.7413, kappa: 0.715, kb_relative_information_score: 1506.3463, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7424, predictive_accuracy: 0.7435, prior_entropy: 3.3219, recall: 0.7435, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.6339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.7427, kappa: 0.7133, kb_relative_information_score: 1458.6383, mean_absolute_error: 0.0643, 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: 0.3573, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.74, kappa: 0.7133, kb_relative_information_score: 1499.4224, 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: 0.3456, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.6315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.7551, kappa: 0.7289, kb_relative_information_score: 1528.2411, mean_absolute_error: 0.0563, 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: 0.3129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.6359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.749, kappa: 0.7217, kb_relative_information_score: 1502.9531, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7493, predictive_accuracy: 0.7495, prior_entropy: 3.3219, recall: 0.7495, relative_absolute_error: 0.3064, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8962, f_measure: 0.7518, kappa: 0.7233, kb_relative_information_score: 1509.4027, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7538, predictive_accuracy: 0.751, prior_entropy: 3.3219, recall: 0.751, relative_absolute_error: 0.2912, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.7369, kappa: 0.7067, kb_relative_information_score: 1449.3586, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7431, predictive_accuracy: 0.736, prior_entropy: 3.3219, recall: 0.736, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.6548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.7343, kappa: 0.7044, kb_relative_information_score: 1470.2289, mean_absolute_error: 0.0629, 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: 0.3496, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.6508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.7395, kappa: 0.7128, kb_relative_information_score: 1500.3906, mean_absolute_error: 0.0622, 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: 0.3453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.7552, kappa: 0.7289, kb_relative_information_score: 1509.6971, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7568, predictive_accuracy: 0.756, prior_entropy: 3.3219, recall: 0.756, relative_absolute_error: 0.3118, 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: 0.9025, f_measure: 0.7528, kappa: 0.7256, kb_relative_information_score: 1505.235, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7539, predictive_accuracy: 0.753, prior_entropy: 3.3219, recall: 0.753, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.6788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.7513, kappa: 0.725, kb_relative_information_score: 1518.895, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.753, predictive_accuracy: 0.7525, prior_entropy: 3.3219, recall: 0.7525, relative_absolute_error: 0.3241, 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: 0.8935, f_measure: 0.7496, kappa: 0.7217, kb_relative_information_score: 1501.2821, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7507, predictive_accuracy: 0.7495, prior_entropy: 3.3219, recall: 0.7495, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.207, root_relative_squared_error: 0.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.7529, kappa: 0.7239, kb_relative_information_score: 1503.0754, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7558, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.3022, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.6755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.752, kappa: 0.7239, kb_relative_information_score: 1501.9008, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7542, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.6659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.7381, kappa: 0.7083, kb_relative_information_score: 1462.1625, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7429, predictive_accuracy: 0.7375, prior_entropy: 3.3219, recall: 0.7375, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.6578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.7474, kappa: 0.7206, kb_relative_information_score: 1519.597, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7487, predictive_accuracy: 0.7485, prior_entropy: 3.3219, recall: 0.7485, relative_absolute_error: 0.3259, 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: 0.9323, f_measure: 0.7355, kappa: 0.7056, kb_relative_information_score: 1463.7039, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7402, predictive_accuracy: 0.735, prior_entropy: 3.3219, recall: 0.735, relative_absolute_error: 0.3507, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.7443, kappa: 0.7178, kb_relative_information_score: 1512.45, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7456, predictive_accuracy: 0.746, prior_entropy: 3.3219, recall: 0.746, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.7371, kappa: 0.7072, kb_relative_information_score: 1466.356, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7418, predictive_accuracy: 0.7365, prior_entropy: 3.3219, recall: 0.7365, relative_absolute_error: 0.3487, 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: 0.9165, f_measure: 0.7546, kappa: 0.7272, kb_relative_information_score: 1503.0663, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7555, predictive_accuracy: 0.7545, prior_entropy: 3.3219, recall: 0.7545, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.7432, kappa: 0.7139, kb_relative_information_score: 1458.8979, 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: 0.3575, 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: 0.9389, f_measure: 0.7509, kappa: 0.7244, kb_relative_information_score: 1524.5075, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7518, predictive_accuracy: 0.752, prior_entropy: 3.3219, recall: 0.752, relative_absolute_error: 0.32, 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: 0.8741, f_measure: 0.7487, kappa: 0.72, kb_relative_information_score: 1493.2129, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.75, predictive_accuracy: 0.748, prior_entropy: 3.3219, recall: 0.748, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.215, root_relative_squared_error: 0.7166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.7734, kappa: 0.7483, kb_relative_information_score: 1553.5154, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.774, predictive_accuracy: 0.7735, prior_entropy: 3.3219, recall: 0.7735, relative_absolute_error: 0.2722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.7397, kappa: 0.7128, kb_relative_information_score: 1499.7546, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7432, predictive_accuracy: 0.7415, prior_entropy: 3.3219, recall: 0.7415, relative_absolute_error: 0.3462, 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: 0.9065, f_measure: 0.7651, kappa: 0.7389, kb_relative_information_score: 1542.0933, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7658, predictive_accuracy: 0.765, prior_entropy: 3.3219, recall: 0.765, relative_absolute_error: 0.2718, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.7364, kappa: 0.7061, kb_relative_information_score: 1448.3399, 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: 0.3631, 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: 0.9066, f_measure: 0.772, kappa: 0.7467, kb_relative_information_score: 1557.0724, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7724, predictive_accuracy: 0.772, prior_entropy: 3.3219, recall: 0.772, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.6552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.7571, kappa: 0.7311, kb_relative_information_score: 1502.3172, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7591, predictive_accuracy: 0.758, prior_entropy: 3.3219, recall: 0.758, relative_absolute_error: 0.3136, 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: 0.93, f_measure: 0.7536, kappa: 0.7261, kb_relative_information_score: 1488.3266, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7572, predictive_accuracy: 0.7535, prior_entropy: 3.3219, recall: 0.7535, relative_absolute_error: 0.3312, 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: 0.9447, f_measure: 0.7419, kappa: 0.715, kb_relative_information_score: 1503.2748, mean_absolute_error: 0.0612, 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: 0.3401, 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: 0.9292, f_measure: 0.7408, kappa: 0.7117, kb_relative_information_score: 1479.2055, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7461, predictive_accuracy: 0.7405, prior_entropy: 3.3219, recall: 0.7405, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.6495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.7399, kappa: 0.7139, kb_relative_information_score: 1496.3027, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7418, predictive_accuracy: 0.7425, prior_entropy: 3.3219, recall: 0.7425, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.6356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.7675, kappa: 0.7422, kb_relative_information_score: 1533.1124, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.768, predictive_accuracy: 0.768, prior_entropy: 3.3219, recall: 0.768, relative_absolute_error: 0.2999, 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: 0.8726, f_measure: 0.7607, kappa: 0.7339, kb_relative_information_score: 1508.7629, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7612, predictive_accuracy: 0.7605, prior_entropy: 3.3219, recall: 0.7605, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.7158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.7427, kappa: 0.7133, kb_relative_information_score: 1457.2227, 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: 0.3579, 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: 0.9256, f_measure: 0.761, kappa: 0.735, kb_relative_information_score: 1524.3215, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7615, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.3036, 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: 0.9292, f_measure: 0.769, kappa: 0.7439, kb_relative_information_score: 1536.3953, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7696, predictive_accuracy: 0.7695, prior_entropy: 3.3219, recall: 0.7695, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.7526, kappa: 0.7261, kb_relative_information_score: 1500.0969, mean_absolute_error: 0.0569, 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: 0.316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.7432, kappa: 0.7139, kb_relative_information_score: 1460.4939, mean_absolute_error: 0.0641, 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: 0.356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.195, root_relative_squared_error: 0.6502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.7601, kappa: 0.7339, kb_relative_information_score: 1528.9952, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7602, predictive_accuracy: 0.7605, prior_entropy: 3.3219, recall: 0.7605, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.7503, kappa: 0.7239, kb_relative_information_score: 1503.711, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7518, predictive_accuracy: 0.7515, prior_entropy: 3.3219, recall: 0.7515, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.7546, kappa: 0.7272, kb_relative_information_score: 1489.9673, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7577, predictive_accuracy: 0.7545, prior_entropy: 3.3219, recall: 0.7545, relative_absolute_error: 0.3295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.7613, kappa: 0.735, kb_relative_information_score: 1534.2803, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7618, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.3026, 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: 0.9377, f_measure: 0.7399, kappa: 0.7106, kb_relative_information_score: 1463.7506, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7457, predictive_accuracy: 0.7395, prior_entropy: 3.3219, recall: 0.7395, relative_absolute_error: 0.3553, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.6489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.7392, kappa: 0.7094, kb_relative_information_score: 1461.5484, mean_absolute_error: 0.0642, 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: 0.3565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.7332, kappa: 0.7028, kb_relative_information_score: 1462.6001, mean_absolute_error: 0.0631, 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: 0.3506, 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: 0.9007, f_measure: 0.7714, kappa: 0.7461, kb_relative_information_score: 1546.1405, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7718, predictive_accuracy: 0.7715, prior_entropy: 3.3219, recall: 0.7715, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.6656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.7383, kappa: 0.7117, kb_relative_information_score: 1498.783, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7395, predictive_accuracy: 0.7405, prior_entropy: 3.3219, recall: 0.7405, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6384,

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