Task
Supervised Classification on satimage

Supervised Classification on satimage

Task 2074 Supervised Classification satimage 19425 runs submitted
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  • at2 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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19425 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9183, kappa: 0.9013, kb_relative_information_score: 0.8855, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.2701, weighted_recall: 0.9202, number_of_instances: 6430, precision: 0.9186, predictive_accuracy: 0.9202, prior_entropy: 2.4834, relative_absolute_error: 0.1571, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.386, unweighted_recall: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.8959, kappa: 0.8742, kb_relative_information_score: 0.8619, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8949, predictive_accuracy: 0.8983, prior_entropy: 2.4834, recall: 0.8983, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.4305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8595, kappa: 0.832, kb_relative_information_score: 0.8282, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8572, predictive_accuracy: 0.8645, prior_entropy: 2.4834, recall: 0.8645, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.8984, kappa: 0.8765, kb_relative_information_score: 0.8585, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.898, predictive_accuracy: 0.9002, prior_entropy: 2.4834, recall: 0.9002, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8613, kappa: 0.8332, kb_relative_information_score: 0.8189, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8596, predictive_accuracy: 0.8655, prior_entropy: 2.4834, recall: 0.8655, relative_absolute_error: 0.2449, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.4826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9056, kappa: 0.8857, kb_relative_information_score: 0.8673, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9054, predictive_accuracy: 0.9076, prior_entropy: 2.4834, recall: 0.9076, relative_absolute_error: 0.1816, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.8536, kappa: 0.8246, kb_relative_information_score: 0.8152, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8516, predictive_accuracy: 0.8586, prior_entropy: 2.4834, recall: 0.8586, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.6742, kappa: 0.6266, kb_relative_information_score: 0.5969, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.6654, predictive_accuracy: 0.7042, prior_entropy: 2.4834, recall: 0.7042, relative_absolute_error: 0.4722, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.7006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.8715, kappa: 0.8451, kb_relative_information_score: 0.8325, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8698, predictive_accuracy: 0.875, prior_entropy: 2.4834, recall: 0.875, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.4685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9013, kappa: 0.8813, kb_relative_information_score: 0.854, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9019, predictive_accuracy: 0.9042, prior_entropy: 2.4834, recall: 0.9042, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.4257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9244, kappa: 0.9074, kb_relative_information_score: 0.8953, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.924, predictive_accuracy: 0.925, prior_entropy: 2.4834, recall: 0.925, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.6077, kappa: 0.4928, kb_relative_information_score: 0.4232, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8058, predictive_accuracy: 0.6034, prior_entropy: 2.4834, recall: 0.6034, relative_absolute_error: 0.6632, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.7842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.8268, kappa: 0.7835, kb_relative_information_score: 0.7733, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.83, predictive_accuracy: 0.8241, prior_entropy: 2.4834, recall: 0.8241, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.5466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.8865, kappa: 0.862, kb_relative_information_score: 0.8472, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8856, predictive_accuracy: 0.8885, prior_entropy: 2.4834, recall: 0.8885, relative_absolute_error: 0.2073, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.8274, kappa: 0.7847, kb_relative_information_score: 0.7764, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.83, predictive_accuracy: 0.8252, prior_entropy: 2.4834, recall: 0.8252, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1993, root_relative_squared_error: 0.5424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.919, kappa: 0.901, kb_relative_information_score: 0.8866, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9191, predictive_accuracy: 0.9198, prior_entropy: 2.4834, recall: 0.9198, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.3829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8587, kappa: 0.831, kb_relative_information_score: 0.8242, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8565, predictive_accuracy: 0.8638, prior_entropy: 2.4834, recall: 0.8638, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.4815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8564, kappa: 0.8285, kb_relative_information_score: 0.8216, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.854, predictive_accuracy: 0.8617, prior_entropy: 2.4834, recall: 0.8617, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9035, kappa: 0.883, kb_relative_information_score: 0.8673, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9031, predictive_accuracy: 0.9054, prior_entropy: 2.4834, recall: 0.9054, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9141, kappa: 0.8947, kb_relative_information_score: 0.8743, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9159, predictive_accuracy: 0.9146, prior_entropy: 2.4834, recall: 0.9146, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.3994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9125, kappa: 0.8945, kb_relative_information_score: 0.8853, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9123, predictive_accuracy: 0.9148, prior_entropy: 2.4834, recall: 0.9148, relative_absolute_error: 0.154, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.3908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.7313, kappa: 0.6593, kb_relative_information_score: 0.5899, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.7992, predictive_accuracy: 0.7289, prior_entropy: 2.4834, recall: 0.7289, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.6745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8587, kappa: 0.8312, kb_relative_information_score: 0.8255, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8563, predictive_accuracy: 0.8639, prior_entropy: 2.4834, recall: 0.8639, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.4804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.4676, kappa: 0.3474, kb_relative_information_score: 0.1504, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.7989, predictive_accuracy: 0.4964, prior_entropy: 2.4834, recall: 0.4964, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9082, kappa: 0.8893, kb_relative_information_score: 0.8762, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9082, predictive_accuracy: 0.9106, prior_entropy: 2.4834, recall: 0.9106, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1478, root_relative_squared_error: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, kappa: 0.6107, kb_relative_information_score: 0.5021, mean_absolute_error: 0.172, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, predictive_accuracy: 0.6913, prior_entropy: 2.4834, recall: 0.6913, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.7444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9038, kappa: 0.8842, kb_relative_information_score: 0.8741, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9032, predictive_accuracy: 0.9064, prior_entropy: 2.4834, recall: 0.9064, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9028, kappa: 0.8817, kb_relative_information_score: 0.8661, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9022, predictive_accuracy: 0.9044, prior_entropy: 2.4834, recall: 0.9044, relative_absolute_error: 0.1814, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.154, root_relative_squared_error: 0.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9034, kappa: 0.883, kb_relative_information_score: 0.864, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9032, predictive_accuracy: 0.9054, prior_entropy: 2.4834, recall: 0.9054, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8239, kappa: 0.7896, kb_relative_information_score: 0.7769, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.821, predictive_accuracy: 0.8305, prior_entropy: 2.4834, recall: 0.8305, relative_absolute_error: 0.2951, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.5369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.85, kappa: 0.8071, kb_relative_information_score: 0.775, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.881, predictive_accuracy: 0.8425, prior_entropy: 2.4834, recall: 0.8425, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.5177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.7084, kappa: 0.6805, kb_relative_information_score: 0.6059, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.6928, predictive_accuracy: 0.7463, prior_entropy: 2.4834, recall: 0.7463, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.6787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9117, kappa: 0.8936, kb_relative_information_score: 0.8791, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9117, predictive_accuracy: 0.914, prior_entropy: 2.4834, recall: 0.914, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1461, root_relative_squared_error: 0.3975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.377, kappa: 0.2486, kb_relative_information_score: 0.1229, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.795, predictive_accuracy: 0.424, prior_entropy: 2.4834, recall: 0.424, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9186, kappa: 0.9017, kb_relative_information_score: 0.8873, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9188, predictive_accuracy: 0.9205, prior_entropy: 2.4834, recall: 0.9205, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.141, root_relative_squared_error: 0.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.7146, kappa: 0.686, kb_relative_information_score: 0.6129, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.7041, predictive_accuracy: 0.7502, prior_entropy: 2.4834, recall: 0.7502, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.247, root_relative_squared_error: 0.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.7706, kappa: 0.7376, kb_relative_information_score: 0.6653, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.7746, predictive_accuracy: 0.7908, prior_entropy: 2.4834, recall: 0.7908, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9215, kappa: 0.904, kb_relative_information_score: 0.8935, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9211, predictive_accuracy: 0.9222, prior_entropy: 2.4834, recall: 0.9222, relative_absolute_error: 0.1442, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.3775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.8947, kappa: 0.8733, kb_relative_information_score: 0.8463, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8942, predictive_accuracy: 0.8977, prior_entropy: 2.4834, recall: 0.8977, relative_absolute_error: 0.2136, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.4372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8627, kappa: 0.8348, kb_relative_information_score: 0.8229, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.861, predictive_accuracy: 0.8667, prior_entropy: 2.4834, recall: 0.8667, relative_absolute_error: 0.2381, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.4797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8648, kappa: 0.8375, kb_relative_information_score: 0.8281, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8629, predictive_accuracy: 0.8689, prior_entropy: 2.4834, recall: 0.8689, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.4755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.923, kappa: 0.9057, kb_relative_information_score: 0.8954, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9226, predictive_accuracy: 0.9236, prior_entropy: 2.4834, recall: 0.9236, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9045, kappa: 0.8842, kb_relative_information_score: 0.8707, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9039, predictive_accuracy: 0.9064, prior_entropy: 2.4834, recall: 0.9064, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9073, kappa: 0.888, kb_relative_information_score: 0.8725, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9073, predictive_accuracy: 0.9095, prior_entropy: 2.4834, recall: 0.9095, relative_absolute_error: 0.1744, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9145, kappa: 0.896, kb_relative_information_score: 0.883, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.914, predictive_accuracy: 0.9159, prior_entropy: 2.4834, recall: 0.9159, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9158, kappa: 0.8986, kb_relative_information_score: 0.8874, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9157, predictive_accuracy: 0.918, prior_entropy: 2.4834, recall: 0.918, relative_absolute_error: 0.1502, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9092, kappa: 0.8904, kb_relative_information_score: 0.8723, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9097, predictive_accuracy: 0.9115, prior_entropy: 2.4834, recall: 0.9115, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.4032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8355, kappa: 0.7997, kb_relative_information_score: 0.7382, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8445, predictive_accuracy: 0.8389, prior_entropy: 2.4834, recall: 0.8389, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.5557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.868, kappa: 0.8412, kb_relative_information_score: 0.8314, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8662, predictive_accuracy: 0.8719, prior_entropy: 2.4834, recall: 0.8719, relative_absolute_error: 0.2271, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.173, root_relative_squared_error: 0.4707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9171, kappa: 0.8989, kb_relative_information_score: 0.8881, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9166, predictive_accuracy: 0.9182, prior_entropy: 2.4834, recall: 0.9182, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8356, kappa: 0.7859, kb_relative_information_score: 0.7454, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8764, predictive_accuracy: 0.8247, prior_entropy: 2.4834, recall: 0.8247, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.5463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9127, kappa: 0.8947, kb_relative_information_score: 0.8844, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9125, predictive_accuracy: 0.9149, prior_entropy: 2.4834, recall: 0.9149, relative_absolute_error: 0.1555, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.144, root_relative_squared_error: 0.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9148, kappa: 0.8971, kb_relative_information_score: 0.8863, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9148, predictive_accuracy: 0.9168, prior_entropy: 2.4834, recall: 0.9168, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.3867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.7971, kappa: 0.7424, kb_relative_information_score: 0.6066, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8149, predictive_accuracy: 0.7893, prior_entropy: 2.4834, recall: 0.7893, relative_absolute_error: 0.5444, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.6804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9051, kappa: 0.8849, kb_relative_information_score: 0.8586, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9048, predictive_accuracy: 0.907, prior_entropy: 2.4834, recall: 0.907, relative_absolute_error: 0.1951, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.919, kappa: 0.9017, kb_relative_information_score: 0.8863, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.919, predictive_accuracy: 0.9205, prior_entropy: 2.4834, recall: 0.9205, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9048, kappa: 0.8847, kb_relative_information_score: 0.8666, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9045, predictive_accuracy: 0.9068, prior_entropy: 2.4834, recall: 0.9068, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.8819, kappa: 0.8568, kb_relative_information_score: 0.844, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8808, predictive_accuracy: 0.8843, prior_entropy: 2.4834, recall: 0.8843, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8188, kappa: 0.7646, kb_relative_information_score: 0.6983, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8619, predictive_accuracy: 0.8068, prior_entropy: 2.4834, recall: 0.8068, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.5881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9163, kappa: 0.8992, kb_relative_information_score: 0.8878, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9162, predictive_accuracy: 0.9185, prior_entropy: 2.4834, recall: 0.9185, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.91, kappa: 0.8911, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9097, predictive_accuracy: 0.912, prior_entropy: 2.4834, recall: 0.912, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1465, root_relative_squared_error: 0.3986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.892, kappa: 0.869, kb_relative_information_score: 0.8575, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8911, predictive_accuracy: 0.8941, prior_entropy: 2.4834, recall: 0.8941, relative_absolute_error: 0.1926, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.4328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.911, kappa: 0.8926, kb_relative_information_score: 0.88, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9107, predictive_accuracy: 0.9132, prior_entropy: 2.4834, recall: 0.9132, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.3981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.7702, kappa: 0.7356, kb_relative_information_score: 0.6465, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.7893, predictive_accuracy: 0.7886, prior_entropy: 2.4834, recall: 0.7886, relative_absolute_error: 0.445, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9157, kappa: 0.8973, kb_relative_information_score: 0.885, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9152, predictive_accuracy: 0.917, prior_entropy: 2.4834, recall: 0.917, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.8293, kappa: 0.7944, kb_relative_information_score: 0.7868, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8263, predictive_accuracy: 0.8341, prior_entropy: 2.4834, recall: 0.8341, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.5257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.8616, kappa: 0.824, kb_relative_information_score: 0.8011, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8847, predictive_accuracy: 0.8565, prior_entropy: 2.4834, recall: 0.8565, relative_absolute_error: 0.252, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.4904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8512, kappa: 0.8219, kb_relative_information_score: 0.8181, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8489, predictive_accuracy: 0.8565, prior_entropy: 2.4834, recall: 0.8565, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.4919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9011, kappa: 0.8809, kb_relative_information_score: 0.8569, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9017, predictive_accuracy: 0.9039, prior_entropy: 2.4834, recall: 0.9039, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9045, kappa: 0.8842, kb_relative_information_score: 0.8694, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.904, predictive_accuracy: 0.9064, prior_entropy: 2.4834, recall: 0.9064, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8711, kappa: 0.8442, kb_relative_information_score: 0.8382, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8695, predictive_accuracy: 0.8742, prior_entropy: 2.4834, recall: 0.8742, relative_absolute_error: 0.2163, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.4632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8872, kappa: 0.8632, kb_relative_information_score: 0.8534, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8859, predictive_accuracy: 0.8894, prior_entropy: 2.4834, recall: 0.8894, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.4424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9116, kappa: 0.893, kb_relative_information_score: 0.8752, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9117, predictive_accuracy: 0.9135, prior_entropy: 2.4834, recall: 0.9135, relative_absolute_error: 0.1735, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.4002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.867, kappa: 0.84, kb_relative_information_score: 0.8301, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8652, predictive_accuracy: 0.8709, prior_entropy: 2.4834, recall: 0.8709, relative_absolute_error: 0.2286, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.4727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.922, kappa: 0.9047, kb_relative_information_score: 0.8947, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9216, predictive_accuracy: 0.9229, prior_entropy: 2.4834, recall: 0.9229, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.3753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9236, kappa: 0.9065, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9233, predictive_accuracy: 0.9243, prior_entropy: 2.4834, recall: 0.9243, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.3735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8827, kappa: 0.8576, kb_relative_information_score: 0.8478, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8814, predictive_accuracy: 0.8849, prior_entropy: 2.4834, recall: 0.8849, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.4481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9145, kappa: 0.8953, kb_relative_information_score: 0.8768, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9159, predictive_accuracy: 0.9151, prior_entropy: 2.4834, recall: 0.9151, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.865, kappa: 0.8377, kb_relative_information_score: 0.8282, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8631, predictive_accuracy: 0.8691, prior_entropy: 2.4834, recall: 0.8691, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.4753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.8536, kappa: 0.825, kb_relative_information_score: 0.8212, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8513, predictive_accuracy: 0.8589, prior_entropy: 2.4834, recall: 0.8589, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.4873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9012, kappa: 0.8795, kb_relative_information_score: 0.8665, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9006, predictive_accuracy: 0.9025, prior_entropy: 2.4834, recall: 0.9025, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.4208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9235, kappa: 0.9063, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9231, predictive_accuracy: 0.9241, prior_entropy: 2.4834, recall: 0.9241, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.3735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.849, kappa: 0.8198, kb_relative_information_score: 0.815, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8463, predictive_accuracy: 0.8547, prior_entropy: 2.4834, recall: 0.8547, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.4942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.6376, kappa: 0.5702, kb_relative_information_score: 0.4873, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.6692, predictive_accuracy: 0.6583, prior_entropy: 2.4834, recall: 0.6583, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.7668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7985, kappa: 0.7469, kb_relative_information_score: 0.7408, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8091, predictive_accuracy: 0.7936, prior_entropy: 2.4834, recall: 0.7936, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8805, kappa: 0.8549, kb_relative_information_score: 0.8423, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8794, predictive_accuracy: 0.8827, prior_entropy: 2.4834, recall: 0.8827, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.4528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.856, kappa: 0.8254, kb_relative_information_score: 0.8075, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8545, predictive_accuracy: 0.8589, prior_entropy: 2.4834, recall: 0.8589, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.5025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9269, kappa: 0.9114, kb_relative_information_score: 0.8986, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9269, predictive_accuracy: 0.9283, prior_entropy: 2.4834, recall: 0.9283, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1356, root_relative_squared_error: 0.3691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9061, kappa: 0.8859, kb_relative_information_score: 0.874, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9055, predictive_accuracy: 0.9078, prior_entropy: 2.4834, recall: 0.9078, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.4068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8736, kappa: 0.8469, kb_relative_information_score: 0.8425, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8721, predictive_accuracy: 0.8764, prior_entropy: 2.4834, recall: 0.8764, relative_absolute_error: 0.2097, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.4582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9024, kappa: 0.8825, kb_relative_information_score: 0.8722, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9017, predictive_accuracy: 0.905, prior_entropy: 2.4834, recall: 0.905, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8807, kappa: 0.8554, kb_relative_information_score: 0.8421, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8795, predictive_accuracy: 0.8832, prior_entropy: 2.4834, recall: 0.8832, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.8924, kappa: 0.8694, kb_relative_information_score: 0.856, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8915, predictive_accuracy: 0.8944, prior_entropy: 2.4834, recall: 0.8944, relative_absolute_error: 0.1948, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.672, kappa: 0.6058, kb_relative_information_score: 0.5198, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.6714, predictive_accuracy: 0.6843, prior_entropy: 2.4834, recall: 0.6843, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.7318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8306, kappa: 0.7943, kb_relative_information_score: 0.7852, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8283, predictive_accuracy: 0.8337, prior_entropy: 2.4834, recall: 0.8337, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.5281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9144, kappa: 0.8953, kb_relative_information_score: 0.8783, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9156, predictive_accuracy: 0.9151, prior_entropy: 2.4834, recall: 0.9151, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.8948, kappa: 0.8699, kb_relative_information_score: 0.8518, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9019, predictive_accuracy: 0.8942, prior_entropy: 2.4834, recall: 0.8942, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.4301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8277, kappa: 0.7935, kb_relative_information_score: 0.7833, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8247, predictive_accuracy: 0.8336, prior_entropy: 2.4834, recall: 0.8336, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.5297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.8966, kappa: 0.8744, kb_relative_information_score: 0.8639, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8956, predictive_accuracy: 0.8984, prior_entropy: 2.4834, recall: 0.8984, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8635, kappa: 0.8356, kb_relative_information_score: 0.8239, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8618, predictive_accuracy: 0.8673, prior_entropy: 2.4834, recall: 0.8673, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.4787,

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