Task
Supervised Classification on vowel

Supervised Classification on vowel

Task 3022 Supervised Classification vowel 18971 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_98 study_99 under100k under1m
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18971 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.1958, kappa: 0.1911, kb_relative_information_score: 170.3181, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.2673, predictive_accuracy: 0.2646, prior_entropy: 3.4594, recall: 0.2646, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.9656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.6382, kappa: 0.6033, kb_relative_information_score: 643.2718, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6417, predictive_accuracy: 0.6394, prior_entropy: 3.4594, recall: 0.6394, relative_absolute_error: 0.537, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.2917, kappa: 0.2578, kb_relative_information_score: 318.7083, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3885, predictive_accuracy: 0.3253, prior_entropy: 3.4594, recall: 0.3253, relative_absolute_error: 0.6857, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.6504, kappa: 0.6189, kb_relative_information_score: 722.1116, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6538, predictive_accuracy: 0.6535, prior_entropy: 3.4594, recall: 0.6535, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.6937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9463, kappa: 0.9411, kb_relative_information_score: 846.0538, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9472, predictive_accuracy: 0.9465, prior_entropy: 3.4594, recall: 0.9465, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.6382, kappa: 0.6033, kb_relative_information_score: 643.2943, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6417, predictive_accuracy: 0.6394, prior_entropy: 3.4594, recall: 0.6394, relative_absolute_error: 0.5371, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.5715, kappa: 0.5256, kb_relative_information_score: 253.2896, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5822, predictive_accuracy: 0.5687, prior_entropy: 3.4594, recall: 0.5687, relative_absolute_error: 0.9142, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.7642, kappa: 0.75, kb_relative_information_score: 770.9993, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7734, predictive_accuracy: 0.7727, prior_entropy: 3.4594, recall: 0.7727, relative_absolute_error: 0.2464, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.6702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9889, kappa: 0.9878, kb_relative_information_score: 977.9122, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.989, predictive_accuracy: 0.9889, prior_entropy: 3.4594, recall: 0.9889, relative_absolute_error: 0.0175, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9776, kappa: 0.9756, kb_relative_information_score: 815.3182, mean_absolute_error: 0.0592, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9785, predictive_accuracy: 0.9778, prior_entropy: 3.4594, recall: 0.9778, relative_absolute_error: 0.358, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.4287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9716, kappa: 0.9689, kb_relative_information_score: 826.2068, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9721, predictive_accuracy: 0.9717, prior_entropy: 3.4594, recall: 0.9717, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8026, kappa: 0.7822, kb_relative_information_score: 786.8126, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8042, predictive_accuracy: 0.802, prior_entropy: 3.4594, recall: 0.802, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9919, kappa: 0.9911, kb_relative_information_score: 977.1204, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.992, predictive_accuracy: 0.9919, prior_entropy: 3.4594, recall: 0.9919, relative_absolute_error: 0.021, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9707, kappa: 0.9678, kb_relative_information_score: 960.5681, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9708, predictive_accuracy: 0.9707, prior_entropy: 3.4594, recall: 0.9707, relative_absolute_error: 0.0356, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.2432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.764, kappa: 0.74, kb_relative_information_score: 764.8376, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7664, predictive_accuracy: 0.7636, prior_entropy: 3.4594, recall: 0.7636, relative_absolute_error: 0.2904, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.723, kappa: 0.6967, kb_relative_information_score: 731.4842, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7254, predictive_accuracy: 0.7242, prior_entropy: 3.4594, recall: 0.7242, relative_absolute_error: 0.3455, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.6754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.7968, kappa: 0.7756, kb_relative_information_score: 753.1446, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8019, predictive_accuracy: 0.796, prior_entropy: 3.4594, recall: 0.796, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.5771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.615, f_measure: 0.2946, kappa: 0.23, kb_relative_information_score: 269.455, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.2933, predictive_accuracy: 0.3, prior_entropy: 3.4594, recall: 0.3, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.3568, root_relative_squared_error: 1.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8189, kappa: 0.8011, kb_relative_information_score: 804.4397, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8203, predictive_accuracy: 0.8192, prior_entropy: 3.4594, recall: 0.8192, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.6281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9889, kappa: 0.9878, kb_relative_information_score: 961.9762, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 3.4594, recall: 0.9889, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.1768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.6862, kappa: 0.6544, kb_relative_information_score: 698.1998, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6884, predictive_accuracy: 0.6859, prior_entropy: 3.4594, recall: 0.6859, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.7106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9625, kappa: 0.9589, kb_relative_information_score: 921.5213, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9629, predictive_accuracy: 0.9626, prior_entropy: 3.4594, recall: 0.9626, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.087, root_relative_squared_error: 0.3025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.4069, kappa: 0.3833, kb_relative_information_score: 274.8668, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4664, predictive_accuracy: 0.4394, prior_entropy: 3.4594, recall: 0.4394, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.9251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.6209, kappa: 0.5867, kb_relative_information_score: 250.4303, mean_absolute_error: 0.1513, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6258, predictive_accuracy: 0.6242, prior_entropy: 3.4594, recall: 0.6242, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.6395, kappa: 0.6011, kb_relative_information_score: 642.0588, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6424, predictive_accuracy: 0.6374, prior_entropy: 3.4594, recall: 0.6374, relative_absolute_error: 0.4678, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.5998, kappa: 0.5567, kb_relative_information_score: 615.6035, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6075, predictive_accuracy: 0.597, prior_entropy: 3.4594, recall: 0.597, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.7691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.5512, kappa: 0.5089, kb_relative_information_score: 563.2646, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5542, predictive_accuracy: 0.5535, prior_entropy: 3.4594, recall: 0.5535, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.5266, kappa: 0.48, kb_relative_information_score: 530.2689, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5322, predictive_accuracy: 0.5273, prior_entropy: 3.4594, recall: 0.5273, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.8151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.4729, kappa: 0.4433, kb_relative_information_score: 486.4721, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.491, predictive_accuracy: 0.4939, prior_entropy: 3.4594, recall: 0.4939, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.8494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.3399, kappa: 0.2878, kb_relative_information_score: 376.9295, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3406, predictive_accuracy: 0.3525, prior_entropy: 3.4594, recall: 0.3525, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.4101, kappa: 0.37, kb_relative_information_score: 438.825, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4175, predictive_accuracy: 0.4273, prior_entropy: 3.4594, recall: 0.4273, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.8799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.3506, kappa: 0.3244, kb_relative_information_score: 275.9924, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3493, predictive_accuracy: 0.3859, prior_entropy: 3.4594, recall: 0.3859, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2681, root_relative_squared_error: 0.9326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8479, kappa: 0.8344, kb_relative_information_score: 835.0776, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8569, predictive_accuracy: 0.8495, prior_entropy: 3.4594, recall: 0.8495, relative_absolute_error: 0.1656, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8223, kappa: 0.8044, kb_relative_information_score: 802.2322, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8234, predictive_accuracy: 0.8222, prior_entropy: 3.4594, recall: 0.8222, relative_absolute_error: 0.214, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.175, root_relative_squared_error: 0.6088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.3194, kappa: 0.3022, kb_relative_information_score: 388.5474, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3229, predictive_accuracy: 0.3657, prior_entropy: 3.4594, recall: 0.3657, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.2549, kappa: 0.2489, kb_relative_information_score: 342.9199, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.2511, predictive_accuracy: 0.3172, prior_entropy: 3.4594, recall: 0.3172, relative_absolute_error: 0.8481, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8353, kappa: 0.82, kb_relative_information_score: 821.0001, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8359, predictive_accuracy: 0.8364, prior_entropy: 3.4594, recall: 0.8364, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.1658, kappa: 0.1789, kb_relative_information_score: 287.772, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1406, predictive_accuracy: 0.2535, prior_entropy: 3.4594, recall: 0.2535, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.1258, kappa: 0.13, kb_relative_information_score: 223.0926, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.12, predictive_accuracy: 0.2091, prior_entropy: 3.4594, recall: 0.2091, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9797, kappa: 0.9778, kb_relative_information_score: 856.6166, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9798, predictive_accuracy: 0.9798, prior_entropy: 3.4594, recall: 0.9798, relative_absolute_error: 0.2801, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.3668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9737, kappa: 0.9711, kb_relative_information_score: 867.6853, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.974, predictive_accuracy: 0.9737, prior_entropy: 3.4594, recall: 0.9737, relative_absolute_error: 0.2572, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.3534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9604, kappa: 0.9567, kb_relative_information_score: 871.1689, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9612, predictive_accuracy: 0.9606, prior_entropy: 3.4594, recall: 0.9606, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 868.5737, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9352, predictive_accuracy: 0.9343, prior_entropy: 3.4594, recall: 0.9343, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8095, kappa: 0.7922, kb_relative_information_score: 714.5481, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8122, predictive_accuracy: 0.8111, prior_entropy: 3.4594, recall: 0.8111, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 868.5737, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9352, predictive_accuracy: 0.9343, prior_entropy: 3.4594, recall: 0.9343, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -0, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.6955, kappa: 0.6656, kb_relative_information_score: 657.7549, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6971, predictive_accuracy: 0.696, prior_entropy: 3.4594, recall: 0.696, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.6777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 868.5737, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9352, predictive_accuracy: 0.9343, prior_entropy: 3.4594, recall: 0.9343, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 868.5737, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9352, predictive_accuracy: 0.9343, prior_entropy: 3.4594, recall: 0.9343, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9534, kappa: 0.9489, kb_relative_information_score: 895.9056, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9537, predictive_accuracy: 0.9535, prior_entropy: 3.4594, recall: 0.9535, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.3437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.8865, kappa: 0.8767, kb_relative_information_score: 709.5397, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8878, predictive_accuracy: 0.8879, prior_entropy: 3.4594, recall: 0.8879, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.6955, kappa: 0.6656, kb_relative_information_score: 657.7549, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6971, predictive_accuracy: 0.696, prior_entropy: 3.4594, recall: 0.696, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.6777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8145, kappa: 0.7978, kb_relative_information_score: 785.3137, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8149, predictive_accuracy: 0.8162, prior_entropy: 3.4594, recall: 0.8162, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.5489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.8063, kappa: 0.7878, kb_relative_information_score: 808.9684, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8072, predictive_accuracy: 0.8071, prior_entropy: 3.4594, recall: 0.8071, relative_absolute_error: 0.2315, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9706, kappa: 0.9678, kb_relative_information_score: 852.941, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9709, predictive_accuracy: 0.9707, prior_entropy: 3.4594, recall: 0.9707, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1094, root_relative_squared_error: 0.3804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 868.5737, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9352, predictive_accuracy: 0.9343, prior_entropy: 3.4594, recall: 0.9343, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 868.5737, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9352, predictive_accuracy: 0.9343, prior_entropy: 3.4594, recall: 0.9343, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 868.5737, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9352, predictive_accuracy: 0.9343, prior_entropy: 3.4594, recall: 0.9343, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 868.5737, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9352, predictive_accuracy: 0.9343, prior_entropy: 3.4594, recall: 0.9343, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 868.5737, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9352, predictive_accuracy: 0.9343, prior_entropy: 3.4594, recall: 0.9343, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9341, kappa: 0.9278, kb_relative_information_score: 868.5737, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9352, predictive_accuracy: 0.9343, prior_entropy: 3.4594, recall: 0.9343, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.871, kappa: 0.8578, kb_relative_information_score: 865.0189, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8723, predictive_accuracy: 0.8707, prior_entropy: 3.4594, recall: 0.8707, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.4902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9261, kappa: 0.9189, kb_relative_information_score: 914.7299, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9276, predictive_accuracy: 0.9263, prior_entropy: 3.4594, recall: 0.9263, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.3899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.919, kappa: 0.9111, kb_relative_information_score: 900.6305, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9193, predictive_accuracy: 0.9192, prior_entropy: 3.4594, recall: 0.9192, relative_absolute_error: 0.1327, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.8477, kappa: 0.8333, kb_relative_information_score: 710.7258, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8496, predictive_accuracy: 0.8485, prior_entropy: 3.4594, recall: 0.8485, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.6064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.7321, kappa: 0.7078, kb_relative_information_score: 724.4139, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7358, predictive_accuracy: 0.7343, prior_entropy: 3.4594, recall: 0.7343, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.843, kappa: 0.8289, kb_relative_information_score: 829.2204, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8442, predictive_accuracy: 0.8444, prior_entropy: 3.4594, recall: 0.8444, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.5318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.88, kappa: 0.8678, kb_relative_information_score: 867.4821, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8816, predictive_accuracy: 0.8798, prior_entropy: 3.4594, recall: 0.8798, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.4598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.937, kappa: 0.9311, kb_relative_information_score: 910.0162, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9379, predictive_accuracy: 0.9374, prior_entropy: 3.4594, recall: 0.9374, relative_absolute_error: 0.1144, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.3564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9164, kappa: 0.9089, kb_relative_information_score: 856.4526, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9193, predictive_accuracy: 0.9172, prior_entropy: 3.4594, recall: 0.9172, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.118, root_relative_squared_error: 0.4104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9132, kappa: 0.9044, kb_relative_information_score: 821.1667, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9142, predictive_accuracy: 0.9131, prior_entropy: 3.4594, recall: 0.9131, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.4608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9949, kappa: 0.9944, kb_relative_information_score: 984.8013, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.995, predictive_accuracy: 0.9949, prior_entropy: 3.4594, recall: 0.9949, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0303, root_relative_squared_error: 0.1054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8352, kappa: 0.8189, kb_relative_information_score: 820.5212, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8357, predictive_accuracy: 0.8354, prior_entropy: 3.4594, recall: 0.8354, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.173, root_relative_squared_error: 0.6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9919, kappa: 0.9911, kb_relative_information_score: 981.682, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.992, predictive_accuracy: 0.9919, prior_entropy: 3.4594, recall: 0.9919, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.1333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.6029, kappa: 0.5811, kb_relative_information_score: 598.0152, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6123, predictive_accuracy: 0.6192, prior_entropy: 3.4594, recall: 0.6192, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9666, kappa: 0.9633, kb_relative_information_score: 955.6883, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.9674, predictive_accuracy: 0.9667, prior_entropy: 3.4594, recall: 0.9667, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.2708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.6221, kappa: 0.5856, kb_relative_information_score: 602.1742, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6262, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.0931, kappa: 0.0944, kb_relative_information_score: 170.0016, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0679, predictive_accuracy: 0.1768, prior_entropy: 3.4594, recall: 0.1768, relative_absolute_error: 0.9479, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0152, kb_relative_information_score: -0, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.0083, predictive_accuracy: 0.0909, prior_entropy: 3.4594, recall: 0.0909, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2875, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.8063, kappa: 0.7878, kb_relative_information_score: 808.9684, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8072, predictive_accuracy: 0.8071, prior_entropy: 3.4594, recall: 0.8071, relative_absolute_error: 0.2315, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6221, kappa: 0.5856, kb_relative_information_score: 631.9577, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6262, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.7436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.6221, kappa: 0.5856, kb_relative_information_score: 631.9577, mean_absolute_error: 0.0875, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6262, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.7436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9007, f_measure: 0.5561, kappa: 0.5167, kb_relative_information_score: 515.5323, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5655, predictive_accuracy: 0.5606, prior_entropy: 3.4594, recall: 0.5606, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.5183, kappa: 0.48, kb_relative_information_score: 482.5363, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5329, predictive_accuracy: 0.5273, prior_entropy: 3.4594, recall: 0.5273, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.8399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.4906, kappa: 0.4567, kb_relative_information_score: 456.0617, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5123, predictive_accuracy: 0.5061, prior_entropy: 3.4594, recall: 0.5061, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5137, kappa: 0.4733, kb_relative_information_score: 478.1966, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5286, predictive_accuracy: 0.5212, prior_entropy: 3.4594, recall: 0.5212, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.551, kappa: 0.5067, kb_relative_information_score: 540.978, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5674, predictive_accuracy: 0.5515, prior_entropy: 3.4594, recall: 0.5515, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.4013, kappa: 0.4033, kb_relative_information_score: 418.8348, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4256, predictive_accuracy: 0.4576, prior_entropy: 3.4594, recall: 0.4576, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.8727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.6224, kappa: 0.5856, kb_relative_information_score: 613.5146, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6256, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.6695, kappa: 0.6367, kb_relative_information_score: 657.0105, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6715, predictive_accuracy: 0.6697, prior_entropy: 3.4594, recall: 0.6697, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.209, root_relative_squared_error: 0.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5137, kappa: 0.4733, kb_relative_information_score: 478.1966, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5286, predictive_accuracy: 0.5212, prior_entropy: 3.4594, recall: 0.5212, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.3251, kappa: 0.3344, kb_relative_information_score: 386.0182, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3553, predictive_accuracy: 0.3949, prior_entropy: 3.4594, recall: 0.3949, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.257, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.6224, kappa: 0.5856, kb_relative_information_score: 613.5146, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6256, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8809, f_measure: 0.4932, kappa: 0.45, kb_relative_information_score: 462.3965, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4948, predictive_accuracy: 0.5, prior_entropy: 3.4594, recall: 0.5, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.146, kappa: 0.18, kb_relative_information_score: 278.5143, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1138, predictive_accuracy: 0.2545, prior_entropy: 3.4594, recall: 0.2545, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.6224, kappa: 0.5856, kb_relative_information_score: 613.5146, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6256, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.5335, kappa: 0.4933, kb_relative_information_score: 496.7613, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5436, predictive_accuracy: 0.5394, prior_entropy: 3.4594, recall: 0.5394, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.7284, kappa: 0.7, kb_relative_information_score: 721.2026, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7326, predictive_accuracy: 0.7273, prior_entropy: 3.4594, recall: 0.7273, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.6826,

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