OpenML
Supervised Classification on cnae-9

Supervised Classification on cnae-9

Task 9981 Supervised Classification cnae-9 22833 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_7 study_98 study_99
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22833 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.5967, kappa: 0.4792, kb_relative_information_score: 0.3775, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8482, predictive_accuracy: 0.537, prior_entropy: 3.1699, recall: 0.537, relative_absolute_error: 0.6949, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2535, root_relative_squared_error: 0.8067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8185, kappa: 0.7729, kb_relative_information_score: 0.6843, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8714, predictive_accuracy: 0.7981, prior_entropy: 3.1699, recall: 0.7981, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.5924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.8874, kappa: 0.8688, kb_relative_information_score: 0.8263, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.898, predictive_accuracy: 0.8833, prior_entropy: 3.1699, recall: 0.8833, relative_absolute_error: 0.2411, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.8912, kappa: 0.876, kb_relative_information_score: 0.8115, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.894, predictive_accuracy: 0.8898, prior_entropy: 3.1699, recall: 0.8898, relative_absolute_error: 0.2835, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9085, kappa: 0.8958, kb_relative_information_score: 0.8668, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9121, predictive_accuracy: 0.9074, prior_entropy: 3.1699, recall: 0.9074, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1261, root_relative_squared_error: 0.4013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.4999, kappa: 0.3677, kb_relative_information_score: 0.2543, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8527, predictive_accuracy: 0.438, prior_entropy: 3.1699, recall: 0.438, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.8764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.23, kappa: -0.0479, kb_relative_information_score: 0.0017, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, predictive_accuracy: 0.0685, prior_entropy: 3.1699, recall: 0.0685, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.315, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9511, kappa: 0.9448, kb_relative_information_score: 0.9078, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9513, predictive_accuracy: 0.9509, prior_entropy: 3.1699, recall: 0.9509, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.3164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.3183, kappa: 0.2, kb_relative_information_score: 0.0575, mean_absolute_error: 0.1915, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.6928, predictive_accuracy: 0.2889, prior_entropy: 3.1699, recall: 0.2889, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.8929, kappa: 0.8781, kb_relative_information_score: 0.8496, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8972, predictive_accuracy: 0.8917, prior_entropy: 3.1699, recall: 0.8917, relative_absolute_error: 0.2178, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.5067, kappa: 0.375, kb_relative_information_score: 0.2673, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8532, predictive_accuracy: 0.4444, prior_entropy: 3.1699, recall: 0.4444, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.8692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9072, kappa: 0.8948, kb_relative_information_score: 0.8626, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9105, predictive_accuracy: 0.9065, prior_entropy: 3.1699, recall: 0.9065, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5428, f_measure: 0.1615, kappa: 0.0615, kb_relative_information_score: 0.0191, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7045, predictive_accuracy: 0.1657, prior_entropy: 3.1699, recall: 0.1657, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.9936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.534, f_measure: 0.1283, kappa: 0.0406, kb_relative_information_score: 0.0172, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.5934, predictive_accuracy: 0.1472, prior_entropy: 3.1699, recall: 0.1472, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.8884, kappa: 0.8729, kb_relative_information_score: 0.8469, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8933, predictive_accuracy: 0.887, prior_entropy: 3.1699, recall: 0.887, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.4348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.6395, kappa: 0.5344, kb_relative_information_score: 0.4463, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8438, predictive_accuracy: 0.5861, prior_entropy: 3.1699, recall: 0.5861, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.7653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9105, kappa: 0.899, kb_relative_information_score: 0.8377, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9114, predictive_accuracy: 0.9102, prior_entropy: 3.1699, recall: 0.9102, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.4274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.1069, kappa: 0.024, kb_relative_information_score: 0.0094, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.2588, predictive_accuracy: 0.1324, prior_entropy: 3.1699, recall: 0.1324, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9558, kappa: 0.95, kb_relative_information_score: 0.9118, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9569, predictive_accuracy: 0.9556, prior_entropy: 3.1699, recall: 0.9556, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.1193, kappa: 0.0365, kb_relative_information_score: 0.0166, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.5932, predictive_accuracy: 0.1435, prior_entropy: 3.1699, recall: 0.1435, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9035, kappa: 0.8906, kb_relative_information_score: 0.8628, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9063, predictive_accuracy: 0.9028, prior_entropy: 3.1699, recall: 0.9028, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4082, kappa: -0.0229, kb_relative_information_score: 0.0052, mean_absolute_error: 0.1979, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, predictive_accuracy: 0.0907, prior_entropy: 3.1699, recall: 0.0907, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.7882, kappa: 0.7417, kb_relative_information_score: 0.6452, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8363, predictive_accuracy: 0.7704, prior_entropy: 3.1699, recall: 0.7704, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.6257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.8848, kappa: 0.8625, kb_relative_information_score: 0.8072, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9043, predictive_accuracy: 0.8778, prior_entropy: 3.1699, recall: 0.8778, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.4606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7769, kappa: 0.7313, kb_relative_information_score: 0.6288, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8248, predictive_accuracy: 0.7611, prior_entropy: 3.1699, recall: 0.7611, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.4221, kappa: 0.2906, kb_relative_information_score: 0.1428, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8588, predictive_accuracy: 0.3694, prior_entropy: 3.1699, recall: 0.3694, relative_absolute_error: 0.9072, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.9352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.8344, kappa: 0.8063, kb_relative_information_score: 0.6976, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8576, predictive_accuracy: 0.8278, prior_entropy: 3.1699, recall: 0.8278, relative_absolute_error: 0.4434, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0255, kappa: -0.0031, kb_relative_information_score: 0.0064, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, predictive_accuracy: 0.1083, prior_entropy: 3.1699, recall: 0.1083, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3145, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.8836, kappa: 0.8646, kb_relative_information_score: 0.8271, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8926, predictive_accuracy: 0.8796, prior_entropy: 3.1699, recall: 0.8796, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8624, kappa: 0.8417, kb_relative_information_score: 0.7824, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8717, predictive_accuracy: 0.8593, prior_entropy: 3.1699, recall: 0.8593, relative_absolute_error: 0.3237, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.157, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.478, kappa: 0.3448, kb_relative_information_score: 0.222, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.851, predictive_accuracy: 0.4176, prior_entropy: 3.1699, recall: 0.4176, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.281, root_relative_squared_error: 0.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0226, kappa: -0.124, kb_relative_information_score: -0.0011, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, predictive_accuracy: 0.0009, prior_entropy: 3.1699, recall: 0.0009, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3152, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8624, kappa: 0.8417, kb_relative_information_score: 0.7825, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8717, predictive_accuracy: 0.8593, prior_entropy: 3.1699, recall: 0.8593, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.157, root_relative_squared_error: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.5082, kappa: 0.4115, kb_relative_information_score: 0.2037, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.6723, predictive_accuracy: 0.4769, prior_entropy: 3.1699, recall: 0.4769, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7232, kappa: 0.6427, kb_relative_information_score: 0.5617, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8572, predictive_accuracy: 0.6824, prior_entropy: 3.1699, recall: 0.6824, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6091, f_measure: 0.2005, kappa: 0.1031, kb_relative_information_score: 0.0348, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.6834, predictive_accuracy: 0.2028, prior_entropy: 3.1699, recall: 0.2028, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.31, root_relative_squared_error: 0.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9016, kappa: 0.8885, kb_relative_information_score: 0.8621, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9042, predictive_accuracy: 0.9009, prior_entropy: 3.1699, recall: 0.9009, relative_absolute_error: 0.206, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8277, kappa: 0.7854, kb_relative_information_score: 0.7074, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8753, predictive_accuracy: 0.8093, prior_entropy: 3.1699, recall: 0.8093, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.5714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.8852, kappa: 0.8646, kb_relative_information_score: 0.8017, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9007, predictive_accuracy: 0.8796, prior_entropy: 3.1699, recall: 0.8796, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.4676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.8624, kappa: 0.8417, kb_relative_information_score: 0.7819, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.872, predictive_accuracy: 0.8593, prior_entropy: 3.1699, recall: 0.8593, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.5003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9433, kappa: 0.9354, kb_relative_information_score: 0.9113, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9449, predictive_accuracy: 0.9426, prior_entropy: 3.1699, recall: 0.9426, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.3272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.8245, kappa: 0.7927, kb_relative_information_score: 0.6675, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8515, predictive_accuracy: 0.8157, prior_entropy: 3.1699, recall: 0.8157, relative_absolute_error: 0.4782, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.195, root_relative_squared_error: 0.6204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9274, kappa: 0.9177, kb_relative_information_score: 0.8838, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.929, predictive_accuracy: 0.9269, prior_entropy: 3.1699, recall: 0.9269, relative_absolute_error: 0.1796, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.113, root_relative_squared_error: 0.3597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7442, kappa: 0.6719, kb_relative_information_score: 0.5833, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8551, predictive_accuracy: 0.7083, prior_entropy: 3.1699, recall: 0.7083, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.6732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9072, kappa: 0.8948, kb_relative_information_score: 0.8625, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9105, predictive_accuracy: 0.9065, prior_entropy: 3.1699, recall: 0.9065, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9072, kappa: 0.8948, kb_relative_information_score: 0.8635, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9105, predictive_accuracy: 0.9065, prior_entropy: 3.1699, recall: 0.9065, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5293, f_measure: 0.1246, kappa: 0.0396, kb_relative_information_score: 0.0167, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.5933, predictive_accuracy: 0.1463, prior_entropy: 3.1699, recall: 0.1463, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9325, kappa: 0.924, kb_relative_information_score: 0.877, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9329, predictive_accuracy: 0.9324, prior_entropy: 3.1699, recall: 0.9324, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.3807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.3344, kappa: 0.2156, kb_relative_information_score: 0.0698, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7799, predictive_accuracy: 0.3028, prior_entropy: 3.1699, recall: 0.3028, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.733, kappa: 0.6875, kb_relative_information_score: 0.5088, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7575, predictive_accuracy: 0.7222, prior_entropy: 3.1699, recall: 0.7222, relative_absolute_error: 0.641, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.7428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.5731, kappa: 0.451, kb_relative_information_score: 0.3503, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8492, predictive_accuracy: 0.512, prior_entropy: 3.1699, recall: 0.512, relative_absolute_error: 0.7206, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.8227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, f_measure: 0.1193, kappa: 0.0365, kb_relative_information_score: 0.0166, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.5932, predictive_accuracy: 0.1435, prior_entropy: 3.1699, recall: 0.1435, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9016, kappa: 0.8885, kb_relative_information_score: 0.8621, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9042, predictive_accuracy: 0.9009, prior_entropy: 3.1699, recall: 0.9009, relative_absolute_error: 0.206, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.379, kappa: 0.2552, kb_relative_information_score: 0.106, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7833, predictive_accuracy: 0.338, prior_entropy: 3.1699, recall: 0.338, relative_absolute_error: 0.9353, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.4856, kappa: 0.3521, kb_relative_information_score: 0.2291, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8555, predictive_accuracy: 0.4241, prior_entropy: 3.1699, recall: 0.4241, relative_absolute_error: 0.8334, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8857, kappa: 0.8667, kb_relative_information_score: 0.81, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8973, predictive_accuracy: 0.8815, prior_entropy: 3.1699, recall: 0.8815, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.4588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7238, f_measure: 0.3885, kappa: 0.2604, kb_relative_information_score: 0.1077, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8556, predictive_accuracy: 0.3426, prior_entropy: 3.1699, recall: 0.3426, relative_absolute_error: 0.934, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.5995, kappa: 0.4979, kb_relative_information_score: 0.3347, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7991, predictive_accuracy: 0.5537, prior_entropy: 3.1699, recall: 0.5537, relative_absolute_error: 0.7824, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2667, root_relative_squared_error: 0.8487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5358, f_measure: 0.1308, kappa: 0.0427, kb_relative_information_score: 0.0175, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.594, predictive_accuracy: 0.1491, prior_entropy: 3.1699, recall: 0.1491, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5576, f_measure: 0.1575, kappa: 0.0625, kb_relative_information_score: 0.0236, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.6844, predictive_accuracy: 0.1667, prior_entropy: 3.1699, recall: 0.1667, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.4474, kappa: 0.3135, kb_relative_information_score: 0.1769, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8604, predictive_accuracy: 0.3898, prior_entropy: 3.1699, recall: 0.3898, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9459, f_measure: 0.7312, kappa: 0.6542, kb_relative_information_score: 0.5716, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8549, predictive_accuracy: 0.6926, prior_entropy: 3.1699, recall: 0.6926, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2143, root_relative_squared_error: 0.6818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.2224, kappa: 0.1208, kb_relative_information_score: 0.0382, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.6617, predictive_accuracy: 0.2185, prior_entropy: 3.1699, recall: 0.2185, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9328, kappa: 0.924, kb_relative_information_score: 0.8897, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9337, predictive_accuracy: 0.9324, prior_entropy: 3.1699, recall: 0.9324, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.3492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9044, kappa: 0.8917, kb_relative_information_score: 0.8621, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9073, predictive_accuracy: 0.9037, prior_entropy: 3.1699, recall: 0.9037, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8367, kappa: 0.8094, kb_relative_information_score: 0.705, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8587, predictive_accuracy: 0.8306, prior_entropy: 3.1699, recall: 0.8306, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.5774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8312, kappa: 0.8021, kb_relative_information_score: 0.6913, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.855, predictive_accuracy: 0.8241, prior_entropy: 3.1699, recall: 0.8241, relative_absolute_error: 0.451, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.5934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.6936, kappa: 0.6042, kb_relative_information_score: 0.5329, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8548, predictive_accuracy: 0.6481, prior_entropy: 3.1699, recall: 0.6481, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8265, kappa: 0.7833, kb_relative_information_score: 0.696, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8756, predictive_accuracy: 0.8074, prior_entropy: 3.1699, recall: 0.8074, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4647, kappa: -0.001, kb_relative_information_score: 0.0075, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, predictive_accuracy: 0.1102, prior_entropy: 3.1699, recall: 0.1102, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3143, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.1193, kappa: 0.0365, kb_relative_information_score: 0.0165, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.5931, predictive_accuracy: 0.1435, prior_entropy: 3.1699, recall: 0.1435, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.5455, kappa: 0.4177, kb_relative_information_score: 0.3158, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8569, predictive_accuracy: 0.4824, prior_entropy: 3.1699, recall: 0.4824, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.8424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.1175, kappa: 0.0354, kb_relative_information_score: 0.0165, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.5931, predictive_accuracy: 0.1426, prior_entropy: 3.1699, recall: 0.1426, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.8986, kappa: 0.8854, kb_relative_information_score: 0.846, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9026, predictive_accuracy: 0.8981, prior_entropy: 3.1699, recall: 0.8981, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.4216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.3909, kappa: 0.2625, kb_relative_information_score: 0.1166, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8565, predictive_accuracy: 0.3444, prior_entropy: 3.1699, recall: 0.3444, relative_absolute_error: 0.9274, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.298, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.6704, kappa: 0.576, kb_relative_information_score: 0.501, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8517, predictive_accuracy: 0.6231, prior_entropy: 3.1699, recall: 0.6231, relative_absolute_error: 0.578, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.229, root_relative_squared_error: 0.7288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8659, kappa: 0.8396, kb_relative_information_score: 0.7812, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8894, predictive_accuracy: 0.8574, prior_entropy: 3.1699, recall: 0.8574, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.4891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9334, kappa: 0.925, kb_relative_information_score: 0.8742, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9338, predictive_accuracy: 0.9333, prior_entropy: 3.1699, recall: 0.9333, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.3848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.6089, kappa: 0.4948, kb_relative_information_score: 0.3994, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8455, predictive_accuracy: 0.5509, prior_entropy: 3.1699, recall: 0.5509, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.8763, kappa: 0.8542, kb_relative_information_score: 0.8039, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8903, predictive_accuracy: 0.8704, prior_entropy: 3.1699, recall: 0.8704, relative_absolute_error: 0.266, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9004, kappa: 0.8854, kb_relative_information_score: 0.8513, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9054, predictive_accuracy: 0.8981, prior_entropy: 3.1699, recall: 0.8981, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8601, kappa: 0.8385, kb_relative_information_score: 0.7701, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8716, predictive_accuracy: 0.8565, prior_entropy: 3.1699, recall: 0.8565, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.162, root_relative_squared_error: 0.5154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8418, kappa: 0.8094, kb_relative_information_score: 0.392, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8686, predictive_accuracy: 0.8306, prior_entropy: 3.1699, recall: 0.8306, relative_absolute_error: 0.7783, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.257, root_relative_squared_error: 0.8176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0313, kappa: -0.0958, kb_relative_information_score: 0.0009, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, predictive_accuracy: 0.0259, prior_entropy: 3.1699, recall: 0.0259, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.4783, kappa: 0.3448, kb_relative_information_score: 0.2218, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8532, predictive_accuracy: 0.4176, prior_entropy: 3.1699, recall: 0.4176, relative_absolute_error: 0.8401, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.281, root_relative_squared_error: 0.8941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8265, kappa: 0.7833, kb_relative_information_score: 0.696, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8756, predictive_accuracy: 0.8074, prior_entropy: 3.1699, recall: 0.8074, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7131, f_measure: 0.3645, kappa: 0.2438, kb_relative_information_score: 0.0952, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7786, predictive_accuracy: 0.3278, prior_entropy: 3.1699, recall: 0.3278, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3012, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9194, kappa: 0.9094, kb_relative_information_score: 0.8748, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9212, predictive_accuracy: 0.9194, prior_entropy: 3.1699, recall: 0.9194, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1198, root_relative_squared_error: 0.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.5833, kappa: 0.4885, kb_relative_information_score: 0.3062, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7485, predictive_accuracy: 0.5454, prior_entropy: 3.1699, recall: 0.5454, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2737, root_relative_squared_error: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9521, kappa: 0.9458, kb_relative_information_score: 0.9134, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9527, predictive_accuracy: 0.9519, prior_entropy: 3.1699, recall: 0.9519, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3726, kappa: -0.024, kb_relative_information_score: 0.0093, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, predictive_accuracy: 0.0898, prior_entropy: 3.1699, recall: 0.0898, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3153, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8305, kappa: 0.801, kb_relative_information_score: 0.674, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8573, predictive_accuracy: 0.8231, prior_entropy: 3.1699, recall: 0.8231, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9004, kappa: 0.8854, kb_relative_information_score: 0.8496, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9054, predictive_accuracy: 0.8981, prior_entropy: 3.1699, recall: 0.8981, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.4449, kappa: 0.3115, kb_relative_information_score: 0.1726, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8601, predictive_accuracy: 0.388, prior_entropy: 3.1699, recall: 0.388, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0763, kappa: -0.1104, kb_relative_information_score: 0.0026, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, predictive_accuracy: 0.013, prior_entropy: 3.1699, recall: 0.013, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3156, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.3501, kappa: 0.2313, kb_relative_information_score: 0.0818, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7765, predictive_accuracy: 0.3167, prior_entropy: 3.1699, recall: 0.3167, relative_absolute_error: 0.9527, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.1532, kappa: 0.0615, kb_relative_information_score: 0.0238, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.6836, predictive_accuracy: 0.1657, prior_entropy: 3.1699, recall: 0.1657, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5243, f_measure: 0.1175, kappa: 0.0354, kb_relative_information_score: 0.0165, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.5931, predictive_accuracy: 0.1426, prior_entropy: 3.1699, recall: 0.1426, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7201, kappa: 0.6396, kb_relative_information_score: 0.5575, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8541, predictive_accuracy: 0.6796, prior_entropy: 3.1699, recall: 0.6796, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.7675, kappa: 0.7146, kb_relative_information_score: 0.5953, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8414, predictive_accuracy: 0.7463, prior_entropy: 3.1699, recall: 0.7463, relative_absolute_error: 0.5208, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.6646,

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