OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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66544 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6149.8266, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.0808, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9795, kappa: 0.9202, kb_relative_information_score: 5098.7986, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9797, predictive_accuracy: 0.9798, prior_entropy: 0.6204, recall: 0.9798, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9857, kappa: 0.9447, kb_relative_information_score: 5456.1149, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.6204, recall: 0.9859, relative_absolute_error: 0.1908, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -9759.8485, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.6025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4184, root_relative_squared_error: 1.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9771, kappa: 0.9104, kb_relative_information_score: 5198.7777, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9775, predictive_accuracy: 0.9776, prior_entropy: 0.6204, recall: 0.9776, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9967, kappa: 0.9872, kb_relative_information_score: 6234.8992, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.6204, recall: 0.9967, relative_absolute_error: 0.063, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.1732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6540.8356, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0091, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0286, root_relative_squared_error: 0.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9919, kb_relative_information_score: 6442.6852, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.1265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6500.9097, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -6695.2009, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.3044, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6489.3068, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0331, root_relative_squared_error: 0.0917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, kb_relative_information_score: -2709.4019, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0679, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, kb_relative_information_score: -2699.4245, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0674, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9868, kappa: 0.9491, kb_relative_information_score: 5594.4007, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9869, predictive_accuracy: 0.987, prior_entropy: 0.6204, recall: 0.987, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9866, kb_relative_information_score: 6246.4127, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.6204, recall: 0.9965, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9977, kappa: 0.9913, kb_relative_information_score: 6423.8451, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.1284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.995, kappa: 0.9806, kb_relative_information_score: 6155.9996, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.6204, recall: 0.995, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0721, root_relative_squared_error: 0.1998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6344.043, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.1366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9904, kappa: 0.9627, kb_relative_information_score: 5727.2977, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.6204, recall: 0.9905, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.8886, kappa: 0.5231, kb_relative_information_score: 2577.0186, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9158, predictive_accuracy: 0.9065, prior_entropy: 0.6204, recall: 0.9065, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.7941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9884, kappa: 0.9551, kb_relative_information_score: 5656.2924, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9884, predictive_accuracy: 0.9885, prior_entropy: 0.6204, recall: 0.9885, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9822, kappa: 0.9307, kb_relative_information_score: 5124.7117, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9823, predictive_accuracy: 0.9824, prior_entropy: 0.6204, recall: 0.9824, relative_absolute_error: 0.239, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9968, kappa: 0.9877, kb_relative_information_score: 6284.5559, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.6204, recall: 0.9968, relative_absolute_error: 0.0518, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.06, root_relative_squared_error: 0.1662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, kb_relative_information_score: -2699.5221, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0671, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9884, kappa: 0.9548, kb_relative_information_score: 5642.2061, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9885, predictive_accuracy: 0.9885, prior_entropy: 0.6204, recall: 0.9885, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.2933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9916, kappa: 0.9677, kb_relative_information_score: 5887.9879, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9916, predictive_accuracy: 0.9917, prior_entropy: 0.6204, recall: 0.9917, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9951, kappa: 0.9813, kb_relative_information_score: 6124.3441, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9951, predictive_accuracy: 0.9952, prior_entropy: 0.6204, recall: 0.9952, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.2039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9665, kappa: 0.8679, kb_relative_information_score: 647.0842, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9671, predictive_accuracy: 0.9674, prior_entropy: 0.6204, recall: 0.9674, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.6877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6520.8581, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0115, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0373, root_relative_squared_error: 0.1032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9902, kappa: 0.9621, kb_relative_information_score: 5729.9622, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6204, recall: 0.9903, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.2764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, kb_relative_information_score: -2701.0446, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0674, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6433.626, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.045, root_relative_squared_error: 0.1245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -7806.4699, mean_absolute_error: 0.3661, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.4034, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3666, root_relative_squared_error: 1.0154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9959, kappa: 0.9842, kb_relative_information_score: 4370.0428, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.6204, recall: 0.9959, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -10683.3851, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.7049, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.445, root_relative_squared_error: 1.2324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9867, kappa: 0.9482, kb_relative_information_score: 5310.0644, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 0.6204, recall: 0.9868, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9888, kappa: 0.9568, kb_relative_information_score: 5885.8324, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9889, predictive_accuracy: 0.9889, prior_entropy: 0.6204, recall: 0.9889, relative_absolute_error: 0.1063, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.2761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9826, kappa: 0.9324, kb_relative_information_score: 4977.7044, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9828, predictive_accuracy: 0.9829, prior_entropy: 0.6204, recall: 0.9829, relative_absolute_error: 0.2623, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.4011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2419.0131, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.7909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, kb_relative_information_score: -2696.8265, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0669, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: -4769.4183, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 1.1441, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.8752, kappa: 0.4615, kb_relative_information_score: -11451.9496, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9087, predictive_accuracy: 0.8977, prior_entropy: 0.6204, recall: 0.8977, relative_absolute_error: 1.7934, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4681, root_relative_squared_error: 1.2964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9886, kappa: 0.9558, kb_relative_information_score: 5581.2812, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 0.6204, recall: 0.9886, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.99, kappa: 0.9614, kb_relative_information_score: -5661.7422, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9902, predictive_accuracy: 0.9901, prior_entropy: 0.6204, recall: 0.9901, relative_absolute_error: 1.2349, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.989, kappa: 0.9574, kb_relative_information_score: 5668.5818, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.6204, recall: 0.9891, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9865, kappa: 0.9477, kb_relative_information_score: 5540.9235, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9866, predictive_accuracy: 0.9867, prior_entropy: 0.6204, recall: 0.9867, relative_absolute_error: 0.1735, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.3235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.7803, kappa: 0.0231, kb_relative_information_score: 51.1052, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8711, predictive_accuracy: 0.848, prior_entropy: 0.6204, recall: 0.848, relative_absolute_error: 0.9855, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9592, kappa: 0.8359, kb_relative_information_score: -11821.209, mean_absolute_error: 0.479, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9626, predictive_accuracy: 0.9614, prior_entropy: 0.6204, recall: 0.9614, relative_absolute_error: 1.8363, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.3268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9953, kb_relative_information_score: 6312.1064, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.1421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9867, kappa: 0.9483, kb_relative_information_score: 5526.1448, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 0.6204, recall: 0.9868, relative_absolute_error: 0.179, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.892, kappa: 0.5389, kb_relative_information_score: 2805.6356, mean_absolute_error: 0.1498, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9174, predictive_accuracy: 0.9088, prior_entropy: 0.6204, recall: 0.9088, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.7777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9959, kappa: 0.9842, kb_relative_information_score: 6078.6197, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.6204, recall: 0.9959, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9977, kappa: 0.9913, kb_relative_information_score: 6433.994, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 0.0284, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, kb_relative_information_score: -2702.8293, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0673, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9887, kappa: 0.9565, kb_relative_information_score: 5766.3464, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9887, predictive_accuracy: 0.9888, prior_entropy: 0.6204, recall: 0.9888, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1021, root_relative_squared_error: 0.2827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9831, kappa: 0.9342, kb_relative_information_score: 5181.4246, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9833, predictive_accuracy: 0.9833, prior_entropy: 0.6204, recall: 0.9833, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1335, root_relative_squared_error: 0.3696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, kb_relative_information_score: -2710.9702, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0679, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2634.8721, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6064, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.7905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7432, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2481.9474, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2866, root_relative_squared_error: 0.7936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: 6426.1901, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, kb_relative_information_score: -2716.2956, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0681, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.8868, kappa: 0.5148, kb_relative_information_score: 2517.0713, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9148, predictive_accuracy: 0.9053, prior_entropy: 0.6204, recall: 0.9053, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.7997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: -10624.6939, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 1.6972, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.443, root_relative_squared_error: 1.2268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9959, kappa: 0.9842, kb_relative_information_score: 6205.7258, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.6204, recall: 0.9959, relative_absolute_error: 0.0652, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.1843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6457.5043, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.0231, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0412, root_relative_squared_error: 0.1142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6503.9253, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0349, root_relative_squared_error: 0.0967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.955, kappa: 0.8226, kb_relative_information_score: 4584.6345, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9554, predictive_accuracy: 0.9564, prior_entropy: 0.6204, recall: 0.9564, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.5245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9806, kappa: 0.924, kb_relative_information_score: -6420.5041, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 0.6204, recall: 0.9811, relative_absolute_error: 1.306, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9954, kb_relative_information_score: 6508.1929, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0324, root_relative_squared_error: 0.0898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9889, kb_relative_information_score: 6275.4334, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.6204, recall: 0.9971, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.06, root_relative_squared_error: 0.1662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -8115.6022, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.4339, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3744, root_relative_squared_error: 1.0369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -10226.5232, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.6532, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9889, kb_relative_information_score: 6342.9976, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.6204, recall: 0.9971, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.1535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, kb_relative_information_score: -2707.4242, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0677, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9865, kappa: 0.9476, kb_relative_information_score: 5327.8841, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9866, predictive_accuracy: 0.9867, prior_entropy: 0.6204, recall: 0.9867, relative_absolute_error: 0.2152, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1259, root_relative_squared_error: 0.3487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9825, kb_relative_information_score: 6126.6112, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9954, predictive_accuracy: 0.9955, prior_entropy: 0.6204, recall: 0.9955, relative_absolute_error: 0.0849, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0702, root_relative_squared_error: 0.1944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8176, kappa: 0.1945, kb_relative_information_score: -9173.5511, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8837, predictive_accuracy: 0.8651, prior_entropy: 0.6204, recall: 0.8651, relative_absolute_error: 1.5621, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4136, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7469, f_measure: 0.8773, kappa: 0.4713, kb_relative_information_score: 2069.0709, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9098, predictive_accuracy: 0.8991, prior_entropy: 0.6204, recall: 0.8991, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.8182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.906, kappa: 0.6077, kb_relative_information_score: 3457.5425, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9165, prior_entropy: 0.6204, recall: 0.9165, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -10518.6831, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.6859, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4401, root_relative_squared_error: 1.2187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9575, kappa: 0.8328, kb_relative_information_score: 4665.0149, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9577, predictive_accuracy: 0.9586, prior_entropy: 0.6204, recall: 0.9586, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.5072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9805, kappa: 0.9241, kb_relative_information_score: 4847.9711, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9809, predictive_accuracy: 0.9809, prior_entropy: 0.6204, recall: 0.9809, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.4192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, kb_relative_information_score: -2711.9134, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0678, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6432.5563, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.0289, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.1266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.529, f_measure: 0.7767, kappa: 0.0066, kb_relative_information_score: -34.5967, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8701, predictive_accuracy: 0.8465, prior_entropy: 0.6204, recall: 0.8465, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9445, kappa: 0.7733, kb_relative_information_score: -9547.6595, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9509, predictive_accuracy: 0.9486, prior_entropy: 0.6204, recall: 0.9486, relative_absolute_error: 1.5892, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.1533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9621, kappa: 0.8489, kb_relative_information_score: -7076.0612, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9642, predictive_accuracy: 0.9638, prior_entropy: 0.6204, recall: 0.9638, relative_absolute_error: 1.3678, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3632, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9933, kappa: 0.9742, kb_relative_information_score: 6001.0077, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9933, predictive_accuracy: 0.9933, prior_entropy: 0.6204, recall: 0.9933, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.2286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.993, kb_relative_information_score: 6227.8283, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.6204, recall: 0.9982, relative_absolute_error: 0.0688, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9919, kb_relative_information_score: 6437.639, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2464.0365, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9979, kappa: 0.9919, kb_relative_information_score: 6433.6064, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.0315, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0419, root_relative_squared_error: 0.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9908, kappa: 0.9646, kb_relative_information_score: 5827.3496, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.6204, recall: 0.9909, relative_absolute_error: 0.134, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.2581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9971, kappa: 0.9889, kb_relative_information_score: 6499.2241, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.6204, recall: 0.9971, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0523, root_relative_squared_error: 0.1449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, kb_relative_information_score: -2712.6302, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.0679, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9953, kb_relative_information_score: 6485.5258, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0212, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0351, root_relative_squared_error: 0.0972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9892, kappa: 0.9582, kb_relative_information_score: 5709.8451, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.6204, recall: 0.9892, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: -11294.8848, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 1.7736, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4627, root_relative_squared_error: 1.2815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.8879, kappa: 0.52, kb_relative_information_score: 2592.3296, mean_absolute_error: 0.1599, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9154, predictive_accuracy: 0.906, prior_entropy: 0.6204, recall: 0.906, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.7958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6243.5568, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.1615,

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