Task
Supervised Classification on kc1

Supervised Classification on kc1

Task 3917 Supervised Classification kc1 156654 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_218 study_41 study_7 study_98 study_99 under100k under1m
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156654 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.8366, kappa: 0.3118, kb_relative_information_score: 0.0978, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8347, predictive_accuracy: 0.8582, prior_entropy: 0.6212, recall: 0.8582, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.9057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.7777, kappa: 0.0147, kb_relative_information_score: -0.1617, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7776, predictive_accuracy: 0.8445, prior_entropy: 0.6212, recall: 0.8445, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3632, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.8081, kappa: 0.1568, kb_relative_information_score: 0.0863, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8376, predictive_accuracy: 0.8559, prior_entropy: 0.6212, recall: 0.8559, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3436, root_relative_squared_error: 0.9506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.8182, kappa: 0.2074, kb_relative_information_score: 0.1068, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8348, predictive_accuracy: 0.8578, prior_entropy: 0.6212, recall: 0.8578, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.9369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.8056, kappa: 0.1457, kb_relative_information_score: 0.0763, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8306, predictive_accuracy: 0.854, prior_entropy: 0.6212, recall: 0.854, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.8056, kappa: 0.1447, kb_relative_information_score: 0.0789, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8362, predictive_accuracy: 0.8549, prior_entropy: 0.6212, recall: 0.8549, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.9508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.8112, kappa: 0.1719, kb_relative_information_score: 0.0922, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8381, predictive_accuracy: 0.8568, prior_entropy: 0.6212, recall: 0.8568, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.7744, kappa: -0.0009, kb_relative_information_score: -0.0006, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7147, predictive_accuracy: 0.845, prior_entropy: 0.6212, recall: 0.845, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3622, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4803, f_measure: 0.782, kappa: 0.0338, kb_relative_information_score: -0.0234, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8372, predictive_accuracy: 0.8478, prior_entropy: 0.6212, recall: 0.8478, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3617, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.7908, kappa: 0.0755, kb_relative_information_score: 0.0412, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8211, predictive_accuracy: 0.8492, prior_entropy: 0.6212, recall: 0.8492, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.8056, kappa: 0.1467, kb_relative_information_score: 0.0735, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8259, predictive_accuracy: 0.853, prior_entropy: 0.6212, recall: 0.853, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.8027, kappa: 0.1313, kb_relative_information_score: 0.0771, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8321, predictive_accuracy: 0.8535, prior_entropy: 0.6212, recall: 0.8535, relative_absolute_error: 0.9115, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.8154, kappa: 0.1957, kb_relative_information_score: 0.0953, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8285, predictive_accuracy: 0.8554, prior_entropy: 0.6212, recall: 0.8554, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.9358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.8153, kappa: 0.1933, kb_relative_information_score: 0.0998, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8335, predictive_accuracy: 0.8568, prior_entropy: 0.6212, recall: 0.8568, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.9453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.7866, kappa: 0.0563, kb_relative_information_score: 0.0404, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.81, predictive_accuracy: 0.8473, prior_entropy: 0.6212, recall: 0.8473, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6585, f_measure: 0.8001, kappa: 0.1201, kb_relative_information_score: 0.069, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8241, predictive_accuracy: 0.8516, prior_entropy: 0.6212, recall: 0.8516, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.8108, kappa: 0.1723, kb_relative_information_score: 0.0907, mean_absolute_error: 0.2363, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8278, predictive_accuracy: 0.8544, prior_entropy: 0.6212, recall: 0.8544, relative_absolute_error: 0.9035, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6479, f_measure: 0.8059, kappa: 0.1479, kb_relative_information_score: 0.0735, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8278, predictive_accuracy: 0.8535, prior_entropy: 0.6212, recall: 0.8535, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.8075, kappa: 0.1563, kb_relative_information_score: 0.0816, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8245, predictive_accuracy: 0.853, prior_entropy: 0.6212, recall: 0.853, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.8028, kappa: 0.1357, kb_relative_information_score: 0.0497, mean_absolute_error: 0.2327, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8141, predictive_accuracy: 0.8497, prior_entropy: 0.6212, recall: 0.8497, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.9402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.805, kappa: 0.1435, kb_relative_information_score: 0.0758, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8265, predictive_accuracy: 0.853, prior_entropy: 0.6212, recall: 0.853, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.9576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.7758, kappa: 0.0052, kb_relative_information_score: 0.0032, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8697, predictive_accuracy: 0.8459, prior_entropy: 0.6212, recall: 0.8459, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3616, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4847, f_measure: 0.7769, kappa: 0.0103, kb_relative_information_score: 0.0029, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.87, predictive_accuracy: 0.8464, prior_entropy: 0.6212, recall: 0.8464, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.7759, kappa: 0.0065, kb_relative_information_score: 0.0042, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7667, predictive_accuracy: 0.8445, prior_entropy: 0.6212, recall: 0.8445, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7781, f_measure: 0.7981, kappa: 0.1149, kb_relative_information_score: 0.024, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8034, predictive_accuracy: 0.8464, prior_entropy: 0.6212, recall: 0.8464, relative_absolute_error: 0.8572, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.9247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3637, kb_relative_information_score: -0.0095, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3622, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.8056, kappa: 0.1457, kb_relative_information_score: 0.0826, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8306, predictive_accuracy: 0.854, prior_entropy: 0.6212, recall: 0.854, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.627, f_measure: 0.7758, kappa: 0.0052, kb_relative_information_score: 0.0067, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8697, predictive_accuracy: 0.8459, prior_entropy: 0.6212, recall: 0.8459, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.785, kappa: 0.0477, kb_relative_information_score: 0.0238, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8369, predictive_accuracy: 0.8487, prior_entropy: 0.6212, recall: 0.8487, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6677, f_measure: 0.8066, kappa: 0.1511, kb_relative_information_score: 0.0853, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8272, predictive_accuracy: 0.8535, prior_entropy: 0.6212, recall: 0.8535, relative_absolute_error: 0.9109, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7763, kappa: 0.0087, kb_relative_information_score: -0.0122, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7617, predictive_accuracy: 0.8435, prior_entropy: 0.6212, recall: 0.8435, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.8049, kappa: 0.1414, kb_relative_information_score: 0.0756, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8375, predictive_accuracy: 0.8549, prior_entropy: 0.6212, recall: 0.8549, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.9498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.7924, kappa: 0.0824, kb_relative_information_score: 0.0557, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8318, predictive_accuracy: 0.8506, prior_entropy: 0.6212, recall: 0.8506, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.9659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.8069, kappa: 0.1522, kb_relative_information_score: 0.0868, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8292, predictive_accuracy: 0.854, prior_entropy: 0.6212, recall: 0.854, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.9491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.7962, kappa: 0.1048, kb_relative_information_score: 0.0639, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8028, predictive_accuracy: 0.8464, prior_entropy: 0.6212, recall: 0.8464, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.7988, kappa: 0.1132, kb_relative_information_score: 0.063, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8259, predictive_accuracy: 0.8516, prior_entropy: 0.6212, recall: 0.8516, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.9659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, f_measure: 0.7839, kappa: 0.0427, kb_relative_information_score: 0.0315, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8336, predictive_accuracy: 0.8483, prior_entropy: 0.6212, recall: 0.8483, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.8129, kappa: 0.1826, kb_relative_information_score: 0.0971, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8283, predictive_accuracy: 0.8549, prior_entropy: 0.6212, recall: 0.8549, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.9445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.7966, kappa: 0.1084, kb_relative_information_score: 0.0125, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7989, predictive_accuracy: 0.845, prior_entropy: 0.6212, recall: 0.845, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.8084, kappa: 0.1589, kb_relative_information_score: 0.0893, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8345, predictive_accuracy: 0.8554, prior_entropy: 0.6212, recall: 0.8554, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.9493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6326, f_measure: 0.7866, kappa: 0.0563, kb_relative_information_score: 0.0406, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.81, predictive_accuracy: 0.8473, prior_entropy: 0.6212, recall: 0.8473, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.8062, kappa: 0.15, kb_relative_information_score: 0.0864, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8254, predictive_accuracy: 0.853, prior_entropy: 0.6212, recall: 0.853, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.804, kappa: 0.1431, kb_relative_information_score: 0.0638, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8111, predictive_accuracy: 0.8487, prior_entropy: 0.6212, recall: 0.8487, relative_absolute_error: 0.8609, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.9325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.8083, kappa: 0.1624, kb_relative_information_score: 0.0808, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8192, predictive_accuracy: 0.8516, prior_entropy: 0.6212, recall: 0.8516, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6534, f_measure: 0.8037, kappa: 0.1358, kb_relative_information_score: 0.0768, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8336, predictive_accuracy: 0.854, prior_entropy: 0.6212, recall: 0.854, relative_absolute_error: 0.9116, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.343, root_relative_squared_error: 0.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.8069, kappa: 0.1522, kb_relative_information_score: 0.0839, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8292, predictive_accuracy: 0.854, prior_entropy: 0.6212, recall: 0.854, relative_absolute_error: 0.9101, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.9539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4597, f_measure: 0.7885, kappa: 0.0649, kb_relative_information_score: -0.0818, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.812, predictive_accuracy: 0.8478, prior_entropy: 0.6212, recall: 0.8478, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.362, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7055, f_measure: 0.7928, kappa: 0.0874, kb_relative_information_score: 0.0394, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8021, predictive_accuracy: 0.8464, prior_entropy: 0.6212, recall: 0.8464, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.9509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.8134, kappa: 0.1856, kb_relative_information_score: 0.096, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.828, predictive_accuracy: 0.8549, prior_entropy: 0.6212, recall: 0.8549, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.7997, kappa: 0.1238, kb_relative_information_score: 0.0655, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8027, predictive_accuracy: 0.8459, prior_entropy: 0.6212, recall: 0.8459, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3448, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, kb_relative_information_score: -0.0244, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.8089, kappa: 0.1646, kb_relative_information_score: 0.0766, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.822, predictive_accuracy: 0.8525, prior_entropy: 0.6212, recall: 0.8525, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.9558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.8075, kappa: 0.1618, kb_relative_information_score: 0.0755, mean_absolute_error: 0.2285, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8117, predictive_accuracy: 0.8487, prior_entropy: 0.6212, recall: 0.8487, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.339, root_relative_squared_error: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.8081, kappa: 0.1577, kb_relative_information_score: 0.0854, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8324, predictive_accuracy: 0.8549, prior_entropy: 0.6212, recall: 0.8549, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.7789, kappa: 0.0196, kb_relative_information_score: 0.0064, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8397, predictive_accuracy: 0.8468, prior_entropy: 0.6212, recall: 0.8468, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7993, kappa: 0.118, kb_relative_information_score: 0.0333, mean_absolute_error: 0.2172, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8131, predictive_accuracy: 0.8492, prior_entropy: 0.6212, recall: 0.8492, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.821, kappa: 0.2212, kb_relative_information_score: 0.1091, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8361, predictive_accuracy: 0.8587, prior_entropy: 0.6212, recall: 0.8587, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.9338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.8044, kappa: 0.1422, kb_relative_information_score: 0.042, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8188, predictive_accuracy: 0.8511, prior_entropy: 0.6212, recall: 0.8511, relative_absolute_error: 0.8821, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.9353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.7887, kappa: 0.0659, kb_relative_information_score: 0.0446, mean_absolute_error: 0.2497, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8159, predictive_accuracy: 0.8483, prior_entropy: 0.6212, recall: 0.8483, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.8043, kappa: 0.1391, kb_relative_information_score: 0.0779, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8325, predictive_accuracy: 0.854, prior_entropy: 0.6212, recall: 0.854, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.9526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.8037, kappa: 0.1369, kb_relative_information_score: 0.0891, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8279, predictive_accuracy: 0.853, prior_entropy: 0.6212, recall: 0.853, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.7768, kappa: 0.0106, kb_relative_information_score: 0.0261, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7734, predictive_accuracy: 0.8445, prior_entropy: 0.6212, recall: 0.8445, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.356, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4447, f_measure: 0.7813, kappa: 0.0328, kb_relative_information_score: -0.0628, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7802, predictive_accuracy: 0.8435, prior_entropy: 0.6212, recall: 0.8435, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3619, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.8153, kappa: 0.1933, kb_relative_information_score: 0.0984, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8335, predictive_accuracy: 0.8568, prior_entropy: 0.6212, recall: 0.8568, relative_absolute_error: 0.8953, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.9466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.813, kappa: 0.1882, kb_relative_information_score: 0.0479, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8178, predictive_accuracy: 0.8511, prior_entropy: 0.6212, recall: 0.8511, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.7939, kappa: 0.0897, kb_relative_information_score: 0.0631, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8277, predictive_accuracy: 0.8506, prior_entropy: 0.6212, recall: 0.8506, relative_absolute_error: 0.9396, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.9621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6605, f_measure: 0.813, kappa: 0.1819, kb_relative_information_score: 0.0993, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8318, predictive_accuracy: 0.8559, prior_entropy: 0.6212, recall: 0.8559, relative_absolute_error: 0.8958, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.8061, kappa: 0.1546, kb_relative_information_score: 0.0564, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8103, predictive_accuracy: 0.8483, prior_entropy: 0.6212, recall: 0.8483, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.8169, kappa: 0.1998, kb_relative_information_score: 0.1019, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8377, predictive_accuracy: 0.8582, prior_entropy: 0.6212, recall: 0.8582, relative_absolute_error: 0.8937, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.9431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6794, f_measure: 0.8072, kappa: 0.1524, kb_relative_information_score: 0.0902, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8364, predictive_accuracy: 0.8554, prior_entropy: 0.6212, recall: 0.8554, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4876, kb_relative_information_score: 0.0019, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3615, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6558, f_measure: 0.8107, kappa: 0.1731, kb_relative_information_score: 0.0913, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8245, predictive_accuracy: 0.8535, prior_entropy: 0.6212, recall: 0.8535, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.343, root_relative_squared_error: 0.9487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.8156, kappa: 0.1945, kb_relative_information_score: 0.0931, mean_absolute_error: 0.2328, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8351, predictive_accuracy: 0.8573, prior_entropy: 0.6212, recall: 0.8573, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.9414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.8084, kappa: 0.1694, kb_relative_information_score: 0.0835, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8084, predictive_accuracy: 0.8468, prior_entropy: 0.6212, recall: 0.8468, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.9418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.8034, kappa: 0.1368, kb_relative_information_score: 0.0342, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8212, predictive_accuracy: 0.8516, prior_entropy: 0.6212, recall: 0.8516, relative_absolute_error: 0.8686, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.8123, kappa: 0.1796, kb_relative_information_score: 0.099, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8286, predictive_accuracy: 0.8549, prior_entropy: 0.6212, recall: 0.8549, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.805, kappa: 0.1424, kb_relative_information_score: 0.0702, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8315, predictive_accuracy: 0.854, prior_entropy: 0.6212, recall: 0.854, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.7914, kappa: 0.0776, kb_relative_information_score: 0.0508, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8296, predictive_accuracy: 0.8502, prior_entropy: 0.6212, recall: 0.8502, relative_absolute_error: 0.9457, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.9692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6703, f_measure: 0.8059, kappa: 0.1498, kb_relative_information_score: 0.0802, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8199, predictive_accuracy: 0.8516, prior_entropy: 0.6212, recall: 0.8516, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.343, root_relative_squared_error: 0.9489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.79, kappa: 0.0723, kb_relative_information_score: 0.0499, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8104, predictive_accuracy: 0.8478, prior_entropy: 0.6212, recall: 0.8478, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6712, f_measure: 0.7882, kappa: 0.0639, kb_relative_information_score: 0.0467, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8084, predictive_accuracy: 0.8473, prior_entropy: 0.6212, recall: 0.8473, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.9631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6293, f_measure: 0.7793, kappa: 0.0217, kb_relative_information_score: 0.0204, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8021, predictive_accuracy: 0.8459, prior_entropy: 0.6212, recall: 0.8459, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.9822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.8069, kappa: 0.1522, kb_relative_information_score: 0.0766, mean_absolute_error: 0.2398, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8292, predictive_accuracy: 0.854, prior_entropy: 0.6212, recall: 0.854, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.8175, kappa: 0.205, kb_relative_information_score: 0.1063, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.832, predictive_accuracy: 0.8568, prior_entropy: 0.6212, recall: 0.8568, relative_absolute_error: 0.8796, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, f_measure: 0.7762, kappa: 0.0074, kb_relative_information_score: 0.0153, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7771, predictive_accuracy: 0.845, prior_entropy: 0.6212, recall: 0.845, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.8055, kappa: 0.1561, kb_relative_information_score: 0.0798, mean_absolute_error: 0.2315, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8038, predictive_accuracy: 0.845, prior_entropy: 0.6212, recall: 0.845, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.8071, kappa: 0.1552, kb_relative_information_score: 0.0717, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8228, predictive_accuracy: 0.8525, prior_entropy: 0.6212, recall: 0.8525, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.346, root_relative_squared_error: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.8114, kappa: 0.1754, kb_relative_information_score: 0.0771, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8275, predictive_accuracy: 0.8544, prior_entropy: 0.6212, recall: 0.8544, relative_absolute_error: 0.9156, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.7881, kappa: 0.0675, kb_relative_information_score: 0.0076, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7849, predictive_accuracy: 0.8421, prior_entropy: 0.6212, recall: 0.8421, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.7902, kappa: 0.0761, kb_relative_information_score: 0.0544, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7939, predictive_accuracy: 0.8445, prior_entropy: 0.6212, recall: 0.8445, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.9573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.8148, kappa: 0.1903, kb_relative_information_score: 0.0966, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.834, predictive_accuracy: 0.8568, prior_entropy: 0.6212, recall: 0.8568, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4437, f_measure: 0.7764, kappa: 0.0084, kb_relative_information_score: -0.009, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.7926, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, f_measure: 0.8142, kappa: 0.1873, kb_relative_information_score: 0.0986, mean_absolute_error: 0.2346, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8345, predictive_accuracy: 0.8568, prior_entropy: 0.6212, recall: 0.8568, relative_absolute_error: 0.8968, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.9457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.788, kappa: 0.0621, kb_relative_information_score: 0.0394, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8174, predictive_accuracy: 0.8483, prior_entropy: 0.6212, recall: 0.8483, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, kb_relative_information_score: -0.0184, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, predictive_accuracy: 0.8454, prior_entropy: 0.6212, recall: 0.8454, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.7839, kappa: 0.0427, kb_relative_information_score: 0.0361, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8336, predictive_accuracy: 0.8483, prior_entropy: 0.6212, recall: 0.8483, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.8041, kappa: 0.1411, kb_relative_information_score: 0.0759, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8171, predictive_accuracy: 0.8506, prior_entropy: 0.6212, recall: 0.8506, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.9343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7977, kappa: 0.1114, kb_relative_information_score: 0.0671, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8079, predictive_accuracy: 0.8478, prior_entropy: 0.6212, recall: 0.8478, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.9399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.8066, kappa: 0.1501, kb_relative_information_score: 0.0854, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.832, predictive_accuracy: 0.8544, prior_entropy: 0.6212, recall: 0.8544, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.8027, kappa: 0.1313, kb_relative_information_score: 0.0769, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.2616, number_of_instances: 2109, precision: 0.8321, predictive_accuracy: 0.8535, prior_entropy: 0.6212, recall: 0.8535, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.3615, root_mean_squared_error: 0.343, root_relative_squared_error: 0.9488,

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

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs