OpenML
Supervised Classification on oh15.wc

Supervised Classification on oh15.wc

Task 3521 Supervised Classification oh15.wc 243 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

243 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.7518, kappa: 0.7228, kb_relative_information_score: 633.924, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7595, predictive_accuracy: 0.7568, prior_entropy: 3.2121, recall: 0.7568, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.6707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7935, kappa: 0.7666, kb_relative_information_score: 616.7886, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7963, predictive_accuracy: 0.7941, prior_entropy: 3.2121, recall: 0.7941, relative_absolute_error: 0.4586, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.186, root_relative_squared_error: 0.6256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.7516, kappa: 0.719, kb_relative_information_score: 565.3059, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.762, predictive_accuracy: 0.7536, prior_entropy: 3.2121, recall: 0.7536, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.6856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.7342, kappa: 0.6976, kb_relative_information_score: 648.7721, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7399, predictive_accuracy: 0.7338, prior_entropy: 3.2121, recall: 0.7338, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.7762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4869, f_measure: 0.0505, kb_relative_information_score: 0.7938, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.0296, predictive_accuracy: 0.172, prior_entropy: 3.2121, recall: 0.172, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2973, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.1701, kappa: 0.121, kb_relative_information_score: 108.4479, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.2383, predictive_accuracy: 0.2694, prior_entropy: 3.2121, recall: 0.2694, relative_absolute_error: 0.9042, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.9517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.0251, kappa: 0.0104, kb_relative_information_score: 30.9442, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.0314, predictive_accuracy: 0.0701, prior_entropy: 3.2121, recall: 0.0701, relative_absolute_error: 1.0522, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.4313, root_relative_squared_error: 1.4508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, f_measure: 0.7597, kappa: 0.7239, kb_relative_information_score: 668.2402, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7798, predictive_accuracy: 0.7579, prior_entropy: 3.2121, recall: 0.7579, relative_absolute_error: 0.2739, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.22, root_relative_squared_error: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.7838, kappa: 0.7526, kb_relative_information_score: 639.8173, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8006, predictive_accuracy: 0.7831, prior_entropy: 3.2121, recall: 0.7831, relative_absolute_error: 0.4218, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.705, kappa: 0.6677, kb_relative_information_score: 619.5652, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7361, predictive_accuracy: 0.7097, prior_entropy: 3.2121, recall: 0.7097, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.7053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5058, f_measure: 0.0789, kappa: -0.0005, kb_relative_information_score: 9.7275, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.0572, predictive_accuracy: 0.1709, prior_entropy: 3.2121, recall: 0.1709, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2974, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5073, f_measure: 0.0505, kb_relative_information_score: 30.6856, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.0296, predictive_accuracy: 0.172, prior_entropy: 3.2121, recall: 0.172, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2988, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.0505, kb_relative_information_score: 12.013, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.0296, predictive_accuracy: 0.172, prior_entropy: 3.2121, recall: 0.172, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2975, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.7647, kappa: 0.7327, kb_relative_information_score: 669.3361, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.771, predictive_accuracy: 0.7645, prior_entropy: 3.2121, recall: 0.7645, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.6385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8351, kappa: 0.8127, kb_relative_information_score: 752.4659, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8396, predictive_accuracy: 0.8346, prior_entropy: 3.2121, recall: 0.8346, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.5438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.0505, kb_relative_information_score: 21.9599, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.0296, predictive_accuracy: 0.172, prior_entropy: 3.2121, recall: 0.172, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.298, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.7443, kappa: 0.7083, kb_relative_information_score: 660.7126, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7485, predictive_accuracy: 0.7426, prior_entropy: 3.2121, recall: 0.7426, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.2631, kappa: 0.2318, kb_relative_information_score: 147.1474, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.2498, predictive_accuracy: 0.3582, prior_entropy: 3.2121, recall: 0.3582, relative_absolute_error: 0.8941, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.8092, kappa: 0.7799, kb_relative_information_score: 683.2382, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8264, predictive_accuracy: 0.8072, prior_entropy: 3.2121, recall: 0.8072, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.5816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.726, kappa: 0.692, kb_relative_information_score: 589.4914, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7447, predictive_accuracy: 0.7306, prior_entropy: 3.2121, recall: 0.7306, relative_absolute_error: 0.4779, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.7297, kappa: 0.6972, kb_relative_information_score: 551.2003, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7454, predictive_accuracy: 0.7349, prior_entropy: 3.2121, recall: 0.7349, relative_absolute_error: 0.5256, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8326, kappa: 0.8084, kb_relative_information_score: 754.1235, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8375, predictive_accuracy: 0.8313, prior_entropy: 3.2121, recall: 0.8313, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.7485, kappa: 0.7124, kb_relative_information_score: 650.7287, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7578, predictive_accuracy: 0.747, prior_entropy: 3.2121, recall: 0.747, relative_absolute_error: 0.3183, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.7013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8074, kappa: 0.779, kb_relative_information_score: 726.5461, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8194, predictive_accuracy: 0.8061, prior_entropy: 3.2121, recall: 0.8061, relative_absolute_error: 0.2285, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.6044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8032, kappa: 0.7739, kb_relative_information_score: 696.9265, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8102, predictive_accuracy: 0.8007, prior_entropy: 3.2121, recall: 0.8007, relative_absolute_error: 0.2875, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8084, kappa: 0.7821, kb_relative_information_score: 615.8341, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8305, predictive_accuracy: 0.8094, prior_entropy: 3.2121, recall: 0.8094, relative_absolute_error: 0.4892, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.6104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8252, kappa: 0.8023, kb_relative_information_score: 601.6935, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8419, predictive_accuracy: 0.8269, prior_entropy: 3.2121, recall: 0.8269, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.812, kappa: 0.7869, kb_relative_information_score: 581.0678, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8352, predictive_accuracy: 0.8138, prior_entropy: 3.2121, recall: 0.8138, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.6418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.8126, kappa: 0.7881, kb_relative_information_score: 562.4576, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8357, predictive_accuracy: 0.8149, prior_entropy: 3.2121, recall: 0.8149, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8111, kappa: 0.7869, kb_relative_information_score: 538.405, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8325, predictive_accuracy: 0.8138, prior_entropy: 3.2121, recall: 0.8138, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.6817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.6743, kappa: 0.6408, kb_relative_information_score: 417.1316, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7297, predictive_accuracy: 0.6889, prior_entropy: 3.2121, recall: 0.6889, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.235, root_relative_squared_error: 0.7907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.7867, kappa: 0.7588, kb_relative_information_score: 515.7159, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8193, predictive_accuracy: 0.7897, prior_entropy: 3.2121, recall: 0.7897, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.7027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8323, kappa: 0.8098, kb_relative_information_score: 728.8334, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8344, predictive_accuracy: 0.8324, prior_entropy: 3.2121, recall: 0.8324, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.8314, kappa: 0.8084, kb_relative_information_score: 708.9581, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8353, predictive_accuracy: 0.8313, prior_entropy: 3.2121, recall: 0.8313, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.7974, kappa: 0.7698, kb_relative_information_score: 490.8261, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8352, predictive_accuracy: 0.7996, prior_entropy: 3.2121, recall: 0.7996, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.7243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.7769, kappa: 0.7474, kb_relative_information_score: 545.9429, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7903, predictive_accuracy: 0.7788, prior_entropy: 3.2121, recall: 0.7788, relative_absolute_error: 0.5737, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.6129, kappa: 0.5724, kb_relative_information_score: 432.9072, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.6319, predictive_accuracy: 0.6265, prior_entropy: 3.2121, recall: 0.6265, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.8029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.8346, kappa: 0.8121, kb_relative_information_score: 707.2968, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8388, predictive_accuracy: 0.8346, prior_entropy: 3.2121, recall: 0.8346, relative_absolute_error: 0.2993, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.156, root_relative_squared_error: 0.5247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.7561, kappa: 0.7262, kb_relative_information_score: 461.2335, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8086, predictive_accuracy: 0.7623, prior_entropy: 3.2121, recall: 0.7623, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.7487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4869, f_measure: 0.0505, kb_relative_information_score: 0.7938, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.0296, predictive_accuracy: 0.172, prior_entropy: 3.2121, recall: 0.172, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2973, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.7471, kappa: 0.7171, kb_relative_information_score: 436.9076, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8095, predictive_accuracy: 0.7547, prior_entropy: 3.2121, recall: 0.7547, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.7676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9357, f_measure: 0.7111, kappa: 0.6758, kb_relative_information_score: 563.4916, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7167, predictive_accuracy: 0.7152, prior_entropy: 3.2121, recall: 0.7152, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.6974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.7254, kappa: 0.6948, kb_relative_information_score: 420.4075, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8008, predictive_accuracy: 0.736, prior_entropy: 3.2121, recall: 0.736, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.6929, kappa: 0.66, kb_relative_information_score: 392.3795, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7755, predictive_accuracy: 0.7065, prior_entropy: 3.2121, recall: 0.7065, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2383, root_relative_squared_error: 0.8016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.6928, kappa: 0.661, kb_relative_information_score: 379.5924, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7829, predictive_accuracy: 0.7076, prior_entropy: 3.2121, recall: 0.7076, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.8114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.3819, kappa: 0.3042, kb_relative_information_score: 308.8651, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.3804, predictive_accuracy: 0.3877, prior_entropy: 3.2121, recall: 0.3877, relative_absolute_error: 0.7006, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3429, root_relative_squared_error: 1.1534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.6745, kappa: 0.6428, kb_relative_information_score: 359.7988, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7669, predictive_accuracy: 0.6922, prior_entropy: 3.2121, recall: 0.6922, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.8248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.1468, kappa: 0.122, kb_relative_information_score: 128.4743, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.1101, predictive_accuracy: 0.2705, prior_entropy: 3.2121, recall: 0.2705, relative_absolute_error: 0.9435, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.289, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.2027, kappa: 0.1871, kb_relative_information_score: 156.9881, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.1534, predictive_accuracy: 0.31, prior_entropy: 3.2121, recall: 0.31, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.2465, kappa: 0.2297, kb_relative_information_score: 186.7044, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.1988, predictive_accuracy: 0.3505, prior_entropy: 3.2121, recall: 0.3505, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.9508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.3623, kappa: 0.3396, kb_relative_information_score: 259.0215, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.3895, predictive_accuracy: 0.4261, prior_entropy: 3.2121, recall: 0.4261, relative_absolute_error: 0.8119, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.269, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.5244, kappa: 0.4749, kb_relative_information_score: 441.3716, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.6964, predictive_accuracy: 0.5542, prior_entropy: 3.2121, recall: 0.5542, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2986, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.1759, kappa: 0.1251, kb_relative_information_score: 119.9851, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.2385, predictive_accuracy: 0.2727, prior_entropy: 3.2121, recall: 0.2727, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.9446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.4771, kappa: 0.4459, kb_relative_information_score: 385.2476, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.4556, predictive_accuracy: 0.5159, prior_entropy: 3.2121, recall: 0.5159, relative_absolute_error: 0.6649, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.244, root_relative_squared_error: 0.8207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.1978, kappa: 0.1794, kb_relative_information_score: 204.2588, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.1537, predictive_accuracy: 0.3143, prior_entropy: 3.2121, recall: 0.3143, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3562, root_relative_squared_error: 1.1983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.5407, kappa: 0.5028, kb_relative_information_score: 430.1242, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.5412, predictive_accuracy: 0.5652, prior_entropy: 3.2121, recall: 0.5652, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8509, kappa: 0.8306, kb_relative_information_score: 739.3386, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8574, predictive_accuracy: 0.851, prior_entropy: 3.2121, recall: 0.851, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.7111, kappa: 0.6586, kb_relative_information_score: 563.0363, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7584, predictive_accuracy: 0.6988, prior_entropy: 3.2121, recall: 0.6988, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.6871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.7518, kappa: 0.7188, kb_relative_information_score: 631.8083, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7804, predictive_accuracy: 0.7536, prior_entropy: 3.2121, recall: 0.7536, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.7541, kappa: 0.7196, kb_relative_information_score: 642.9806, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7634, predictive_accuracy: 0.7536, prior_entropy: 3.2121, recall: 0.7536, relative_absolute_error: 0.3658, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1853, root_relative_squared_error: 0.6233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.7709, kappa: 0.7414, kb_relative_information_score: 649.6568, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.782, predictive_accuracy: 0.7733, prior_entropy: 3.2121, recall: 0.7733, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.815, kappa: 0.7886, kb_relative_information_score: 739.1062, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8213, predictive_accuracy: 0.8138, prior_entropy: 3.2121, recall: 0.8138, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1818, root_relative_squared_error: 0.6114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.6968, kappa: 0.6537, kb_relative_information_score: 196.9436, mean_absolute_error: 0.1643, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7641, predictive_accuracy: 0.6966, prior_entropy: 3.2121, recall: 0.6966, relative_absolute_error: 0.9296, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.9416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.7671, kappa: 0.7346, kb_relative_information_score: 657.3831, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7732, predictive_accuracy: 0.7667, prior_entropy: 3.2121, recall: 0.7667, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.631, f_measure: 0.1608, kappa: 0.0838, kb_relative_information_score: 171.2446, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.5695, predictive_accuracy: 0.1873, prior_entropy: 3.2121, recall: 0.1873, relative_absolute_error: 0.9149, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3237, root_relative_squared_error: 1.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.371, kappa: 0.2921, kb_relative_information_score: 296.1753, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.368, predictive_accuracy: 0.3768, prior_entropy: 3.2121, recall: 0.3768, relative_absolute_error: 0.7052, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3531, root_relative_squared_error: 1.1877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.196, kappa: 0.1751, kb_relative_information_score: 202.1634, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.1539, predictive_accuracy: 0.3111, prior_entropy: 3.2121, recall: 0.3111, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3712, root_relative_squared_error: 1.2487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7252, kappa: 0.6911, kb_relative_information_score: 646.0304, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7314, predictive_accuracy: 0.7262, prior_entropy: 3.2121, recall: 0.7262, relative_absolute_error: 0.3098, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.7814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.7713, kappa: 0.7403, kb_relative_information_score: 665.9534, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.775, predictive_accuracy: 0.7711, prior_entropy: 3.2121, recall: 0.7711, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.7533, kappa: 0.7136, kb_relative_information_score: 654.4479, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7644, predictive_accuracy: 0.747, prior_entropy: 3.2121, recall: 0.747, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.6683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.1598, kappa: 0.0765, kb_relative_information_score: 117.7111, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.5579, predictive_accuracy: 0.1818, prior_entropy: 3.2121, recall: 0.1818, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.4021, root_relative_squared_error: 1.3527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.7779, kappa: 0.7474, kb_relative_information_score: 674.276, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7856, predictive_accuracy: 0.7777, prior_entropy: 3.2121, recall: 0.7777, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.6132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.6518, kappa: 0.6209, kb_relative_information_score: 338.05, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7505, predictive_accuracy: 0.6736, prior_entropy: 3.2121, recall: 0.6736, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.8406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.727, kappa: 0.6958, kb_relative_information_score: 390.9013, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8108, predictive_accuracy: 0.7371, prior_entropy: 3.2121, recall: 0.7371, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.7998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.2595, kappa: 0.1999, kb_relative_information_score: 226.601, mean_absolute_error: 0.1389, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.6259, predictive_accuracy: 0.3078, prior_entropy: 3.2121, recall: 0.3078, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.3521, root_relative_squared_error: 1.1845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.7437, kappa: 0.714, kb_relative_information_score: 678.0665, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7452, predictive_accuracy: 0.747, prior_entropy: 3.2121, recall: 0.747, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.7119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.4044, kappa: 0.3875, kb_relative_information_score: 123.9541, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.6967, predictive_accuracy: 0.4852, prior_entropy: 3.2121, recall: 0.4852, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.7644, kappa: 0.7362, kb_relative_information_score: 678.2313, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7685, predictive_accuracy: 0.7678, prior_entropy: 3.2121, recall: 0.7678, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.186, root_relative_squared_error: 0.6256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.5636, kappa: 0.5153, kb_relative_information_score: 381.8296, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.5757, predictive_accuracy: 0.5772, prior_entropy: 3.2121, recall: 0.5772, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.6915, kappa: 0.6504, kb_relative_information_score: 574.1265, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7044, predictive_accuracy: 0.6933, prior_entropy: 3.2121, recall: 0.6933, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.907, f_measure: 0.6839, kappa: 0.6158, kb_relative_information_score: 570.4184, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7923, predictive_accuracy: 0.6681, prior_entropy: 3.2121, recall: 0.6681, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.6747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.5671, kappa: 0.5276, kb_relative_information_score: 532.1306, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7756, predictive_accuracy: 0.5696, prior_entropy: 3.2121, recall: 0.5696, relative_absolute_error: 0.5357, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.8393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.2672, kappa: 0.2306, kb_relative_information_score: 132.6269, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.2628, predictive_accuracy: 0.3571, prior_entropy: 3.2121, recall: 0.3571, relative_absolute_error: 0.9084, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.9337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.6434, kappa: 0.6255, kb_relative_information_score: 42.6179, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7553, predictive_accuracy: 0.6769, prior_entropy: 3.2121, recall: 0.6769, relative_absolute_error: 1.018, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.8001, kappa: 0.7684, kb_relative_information_score: 682.1804, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8122, predictive_accuracy: 0.7963, prior_entropy: 3.2121, recall: 0.7963, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.6964, kappa: 0.6389, kb_relative_information_score: 545.7214, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7895, predictive_accuracy: 0.6878, prior_entropy: 3.2121, recall: 0.6878, relative_absolute_error: 0.4698, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.7688, kappa: 0.7324, kb_relative_information_score: 642.8706, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7978, predictive_accuracy: 0.7656, prior_entropy: 3.2121, recall: 0.7656, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.1645, kappa: 0.1094, kb_relative_information_score: 107.5045, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.188, predictive_accuracy: 0.2596, prior_entropy: 3.2121, recall: 0.2596, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.9597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.7163, kappa: 0.6654, kb_relative_information_score: 446.3525, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7649, predictive_accuracy: 0.7087, prior_entropy: 3.2121, recall: 0.7087, relative_absolute_error: 0.6541, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.7459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8045, kappa: 0.7787, kb_relative_information_score: 720.2224, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8159, predictive_accuracy: 0.8061, prior_entropy: 3.2121, recall: 0.8061, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.176, root_relative_squared_error: 0.5922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.6671, kappa: 0.6197, kb_relative_information_score: 579.0713, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.6863, predictive_accuracy: 0.667, prior_entropy: 3.2121, recall: 0.667, relative_absolute_error: 0.3767, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.8681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0071, kb_relative_information_score: 20.5116, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.0038, predictive_accuracy: 0.0613, prior_entropy: 3.2121, recall: 0.0613, relative_absolute_error: 1.0621, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.4333, root_relative_squared_error: 1.4576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.6701, kappa: 0.6373, kb_relative_information_score: 42.6378, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.7436, predictive_accuracy: 0.6857, prior_entropy: 3.2121, recall: 0.6857, relative_absolute_error: 1.018, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2999, root_relative_squared_error: 1.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.5244, kappa: 0.4749, kb_relative_information_score: 441.3716, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.6964, predictive_accuracy: 0.5542, prior_entropy: 3.2121, recall: 0.5542, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2986, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.2824, kappa: 0.2722, kb_relative_information_score: 88.7781, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.4447, predictive_accuracy: 0.3921, prior_entropy: 3.2121, recall: 0.3921, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8323, kappa: 0.8098, kb_relative_information_score: 728.8334, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8344, predictive_accuracy: 0.8324, prior_entropy: 3.2121, recall: 0.8324, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7497, f_measure: 0.5522, kappa: 0.4992, kb_relative_information_score: 467.7301, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.5647, predictive_accuracy: 0.563, prior_entropy: 3.2121, recall: 0.563, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8351, kappa: 0.8127, kb_relative_information_score: 752.4659, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.8396, predictive_accuracy: 0.8346, prior_entropy: 3.2121, recall: 0.8346, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.5438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4869, f_measure: 0.0505, kb_relative_information_score: 0.7938, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.0296, predictive_accuracy: 0.172, prior_entropy: 3.2121, recall: 0.172, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2973, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8569, f_measure: 0.7342, kappa: 0.6971, kb_relative_information_score: 654.2717, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.739, predictive_accuracy: 0.7327, prior_entropy: 3.2121, recall: 0.7327, relative_absolute_error: 0.318, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.7521,

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

OpenML bootcamp

From your own software

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

OpenML APIs