Task
Supervised Classification on mfeat-fourier

Supervised Classification on mfeat-fourier

Task 14 Supervised Classification mfeat-fourier 26758 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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26758 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8466, kappa: 0.8294, kb_relative_information_score: 0.8365, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.18, weighted_recall: 0.8465, number_of_instances: 2000, precision: 0.847, predictive_accuracy: 0.8465, prior_entropy: 3.3219, relative_absolute_error: 0.2664, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.4824, unweighted_recall: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.7244, kappa: 0.6844, kb_relative_information_score: 0.6001, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.18, weighted_recall: 0.716, number_of_instances: 2000, precision: 0.7713, predictive_accuracy: 0.716, prior_entropy: 3.3219, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.7021, unweighted_recall: 0.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.4941, kappa: 0.4322, kb_relative_information_score: 0.3997, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.18, weighted_recall: 0.489, number_of_instances: 2000, precision: 0.5308, predictive_accuracy: 0.489, prior_entropy: 3.3219, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.259, root_relative_squared_error: 0.8633, unweighted_recall: 0.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8368, kappa: 0.8183, kb_relative_information_score: 0.8194, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.18, weighted_recall: 0.8365, number_of_instances: 2000, precision: 0.8377, predictive_accuracy: 0.8365, prior_entropy: 3.3219, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5008, unweighted_recall: 0.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.8361, kappa: 0.8183, kb_relative_information_score: 0.8253, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.18, weighted_recall: 0.8365, number_of_instances: 2000, precision: 0.8362, predictive_accuracy: 0.8365, prior_entropy: 3.3219, relative_absolute_error: 0.2817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1498, root_relative_squared_error: 0.4994, unweighted_recall: 0.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.619, kappa: 0.5611, kb_relative_information_score: 0.3886, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.18, weighted_recall: 0.605, number_of_instances: 2000, precision: 0.6882, predictive_accuracy: 0.605, prior_entropy: 3.3219, relative_absolute_error: 0.7243, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.249, root_relative_squared_error: 0.8301, unweighted_recall: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.755, kappa: 0.7294, kb_relative_information_score: 0.701, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.18, weighted_recall: 0.7565, number_of_instances: 2000, precision: 0.773, predictive_accuracy: 0.7565, prior_entropy: 3.3219, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.6224, unweighted_recall: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8293, kappa: 0.8094, kb_relative_information_score: 0.8318, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, weighted_recall: 0.8285, number_of_instances: 2000, precision: 0.8303, predictive_accuracy: 0.8285, prior_entropy: 3.3219, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1479, root_relative_squared_error: 0.493, unweighted_recall: 0.8285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.8251, kappa: 0.8044, kb_relative_information_score: 0.8213, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.18, weighted_recall: 0.824, number_of_instances: 2000, precision: 0.8267, predictive_accuracy: 0.824, prior_entropy: 3.3219, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5032, unweighted_recall: 0.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8443, kappa: 0.8267, kb_relative_information_score: 0.8367, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.18, weighted_recall: 0.844, number_of_instances: 2000, precision: 0.8449, predictive_accuracy: 0.844, prior_entropy: 3.3219, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4816, unweighted_recall: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.8399, kappa: 0.8222, kb_relative_information_score: 0.8243, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.18, weighted_recall: 0.84, number_of_instances: 2000, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 3.3219, relative_absolute_error: 0.2837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4988, unweighted_recall: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8069, kappa: 0.785, kb_relative_information_score: 0.8025, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, weighted_recall: 0.8065, number_of_instances: 2000, precision: 0.8087, predictive_accuracy: 0.8065, prior_entropy: 3.3219, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.5281, unweighted_recall: 0.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.7878, kappa: 0.7667, kb_relative_information_score: 0.7955, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, weighted_recall: 0.79, number_of_instances: 2000, precision: 0.7887, predictive_accuracy: 0.79, prior_entropy: 3.3219, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.5309, unweighted_recall: 0.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.672, kappa: 0.6217, kb_relative_information_score: 0.4603, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.18, weighted_recall: 0.6595, number_of_instances: 2000, precision: 0.7408, predictive_accuracy: 0.6595, prior_entropy: 3.3219, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.7915, unweighted_recall: 0.6595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.7892, kappa: 0.7656, kb_relative_information_score: 0.7939, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, weighted_recall: 0.789, number_of_instances: 2000, precision: 0.7897, predictive_accuracy: 0.789, prior_entropy: 3.3219, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5846, unweighted_recall: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8148, kappa: 0.7956, kb_relative_information_score: 0.7839, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, weighted_recall: 0.816, number_of_instances: 2000, precision: 0.8148, predictive_accuracy: 0.816, prior_entropy: 3.3219, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5411, unweighted_recall: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.7906, kappa: 0.7672, kb_relative_information_score: 0.7945, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.18, weighted_recall: 0.7905, number_of_instances: 2000, precision: 0.7911, predictive_accuracy: 0.7905, prior_entropy: 3.3219, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5833, unweighted_recall: 0.7905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.817, kappa: 0.7972, kb_relative_information_score: 0.8112, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.18, weighted_recall: 0.8175, number_of_instances: 2000, precision: 0.817, predictive_accuracy: 0.8175, prior_entropy: 3.3219, relative_absolute_error: 0.2869, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5497, unweighted_recall: 0.8175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.7892, kappa: 0.7656, kb_relative_information_score: 0.7939, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, weighted_recall: 0.789, number_of_instances: 2000, precision: 0.7897, predictive_accuracy: 0.789, prior_entropy: 3.3219, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5846, unweighted_recall: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8022, kappa: 0.7833, kb_relative_information_score: 0.8031, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.18, weighted_recall: 0.805, number_of_instances: 2000, precision: 0.804, predictive_accuracy: 0.805, prior_entropy: 3.3219, relative_absolute_error: 0.2912, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.5638, unweighted_recall: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8153, kappa: 0.7961, kb_relative_information_score: 0.8099, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, weighted_recall: 0.8165, number_of_instances: 2000, precision: 0.8147, predictive_accuracy: 0.8165, prior_entropy: 3.3219, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.5508, unweighted_recall: 0.8165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8019, kappa: 0.7794, kb_relative_information_score: 0.8012, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.18, weighted_recall: 0.8015, number_of_instances: 2000, precision: 0.8027, predictive_accuracy: 0.8015, prior_entropy: 3.3219, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5719, unweighted_recall: 0.8015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.7847, kappa: 0.7672, kb_relative_information_score: 0.4802, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.18, weighted_recall: 0.7905, number_of_instances: 2000, precision: 0.7838, predictive_accuracy: 0.7905, prior_entropy: 3.3219, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.7762, unweighted_recall: 0.7905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8148, kappa: 0.7956, kb_relative_information_score: 0.7839, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, weighted_recall: 0.816, number_of_instances: 2000, precision: 0.8148, predictive_accuracy: 0.816, prior_entropy: 3.3219, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5411, unweighted_recall: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8037, kappa: 0.785, kb_relative_information_score: 0.7414, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, weighted_recall: 0.8065, number_of_instances: 2000, precision: 0.8029, predictive_accuracy: 0.8065, prior_entropy: 3.3219, relative_absolute_error: 0.4256, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5686, unweighted_recall: 0.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.7972, kappa: 0.7739, kb_relative_information_score: 0.7979, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, weighted_recall: 0.7965, number_of_instances: 2000, precision: 0.7984, predictive_accuracy: 0.7965, prior_entropy: 3.3219, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.5774, unweighted_recall: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8166, kappa: 0.7983, kb_relative_information_score: 0.7953, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, weighted_recall: 0.8185, number_of_instances: 2000, precision: 0.8164, predictive_accuracy: 0.8185, prior_entropy: 3.3219, relative_absolute_error: 0.3283, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5403, unweighted_recall: 0.8185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8036, kappa: 0.7828, kb_relative_information_score: 0.7972, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.18, weighted_recall: 0.8045, number_of_instances: 2000, precision: 0.8033, predictive_accuracy: 0.8045, prior_entropy: 3.3219, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.587, unweighted_recall: 0.8045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8093, kappa: 0.7878, kb_relative_information_score: 0.8047, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.18, weighted_recall: 0.809, number_of_instances: 2000, precision: 0.8099, predictive_accuracy: 0.809, prior_entropy: 3.3219, relative_absolute_error: 0.2913, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.5655, unweighted_recall: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.7906, kappa: 0.7672, kb_relative_information_score: 0.7945, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.18, weighted_recall: 0.7905, number_of_instances: 2000, precision: 0.7911, predictive_accuracy: 0.7905, prior_entropy: 3.3219, relative_absolute_error: 0.3, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5833, unweighted_recall: 0.7905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.8246, kappa: 0.8056, kb_relative_information_score: 0.8118, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, weighted_recall: 0.825, number_of_instances: 2000, precision: 0.825, predictive_accuracy: 0.825, prior_entropy: 3.3219, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.5344, unweighted_recall: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.7564, kappa: 0.7367, kb_relative_information_score: 0.4143, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.18, weighted_recall: 0.763, number_of_instances: 2000, precision: 0.7579, predictive_accuracy: 0.763, prior_entropy: 3.3219, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.821, unweighted_recall: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.817, kappa: 0.7972, kb_relative_information_score: 0.8112, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.18, weighted_recall: 0.8175, number_of_instances: 2000, precision: 0.817, predictive_accuracy: 0.8175, prior_entropy: 3.3219, relative_absolute_error: 0.2869, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5497, unweighted_recall: 0.8175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8007, kappa: 0.7811, kb_relative_information_score: 0.6802, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.18, weighted_recall: 0.803, number_of_instances: 2000, precision: 0.8004, predictive_accuracy: 0.803, prior_entropy: 3.3219, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.6174, unweighted_recall: 0.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.7892, kappa: 0.7656, kb_relative_information_score: 0.7939, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, weighted_recall: 0.789, number_of_instances: 2000, precision: 0.7897, predictive_accuracy: 0.789, prior_entropy: 3.3219, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5846, unweighted_recall: 0.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.7931, kappa: 0.7694, kb_relative_information_score: 0.807, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.18, weighted_recall: 0.7925, number_of_instances: 2000, precision: 0.794, predictive_accuracy: 0.7925, prior_entropy: 3.3219, relative_absolute_error: 0.2467, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.179, root_relative_squared_error: 0.5966, unweighted_recall: 0.7925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.8222, kappa: 0.8022, kb_relative_information_score: 0.8292, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.18, weighted_recall: 0.822, number_of_instances: 2000, precision: 0.8228, predictive_accuracy: 0.822, prior_entropy: 3.3219, relative_absolute_error: 0.2424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.5309, unweighted_recall: 0.822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8004, kappa: 0.7806, kb_relative_information_score: 0.721, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.18, weighted_recall: 0.8025, number_of_instances: 2000, precision: 0.7997, predictive_accuracy: 0.8025, prior_entropy: 3.3219, relative_absolute_error: 0.4435, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.5808, unweighted_recall: 0.8025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.822, kappa: 0.8028, kb_relative_information_score: 0.8109, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, weighted_recall: 0.8225, number_of_instances: 2000, precision: 0.8224, predictive_accuracy: 0.8225, prior_entropy: 3.3219, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.5196, unweighted_recall: 0.8225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8148, kappa: 0.7956, kb_relative_information_score: 0.7839, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, weighted_recall: 0.816, number_of_instances: 2000, precision: 0.8148, predictive_accuracy: 0.816, prior_entropy: 3.3219, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.5411, unweighted_recall: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8153, kappa: 0.7961, kb_relative_information_score: 0.8099, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.18, weighted_recall: 0.8165, number_of_instances: 2000, precision: 0.8147, predictive_accuracy: 0.8165, prior_entropy: 3.3219, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.5508, unweighted_recall: 0.8165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.7564, kappa: 0.7367, kb_relative_information_score: 0.4143, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.18, weighted_recall: 0.763, number_of_instances: 2000, precision: 0.7579, predictive_accuracy: 0.763, prior_entropy: 3.3219, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.821, unweighted_recall: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.7972, kappa: 0.7739, kb_relative_information_score: 0.798, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, weighted_recall: 0.7965, number_of_instances: 2000, precision: 0.7984, predictive_accuracy: 0.7965, prior_entropy: 3.3219, relative_absolute_error: 0.2965, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.5774, unweighted_recall: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.8106, kappa: 0.7906, kb_relative_information_score: 0.806, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.18, weighted_recall: 0.8115, number_of_instances: 2000, precision: 0.8112, predictive_accuracy: 0.8115, prior_entropy: 3.3219, relative_absolute_error: 0.2884, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.559, unweighted_recall: 0.8115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8019, kappa: 0.7794, kb_relative_information_score: 0.8012, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.18, weighted_recall: 0.8015, number_of_instances: 2000, precision: 0.8027, predictive_accuracy: 0.8015, prior_entropy: 3.3219, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.5719, unweighted_recall: 0.8015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8171, kappa: 0.7989, kb_relative_information_score: 0.795, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.18, weighted_recall: 0.819, number_of_instances: 2000, precision: 0.8168, predictive_accuracy: 0.819, prior_entropy: 3.3219, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.819,

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