Task
Supervised Classification on Fashion-MNIST

Supervised Classification on Fashion-MNIST

Task 146825 Supervised Classification Fashion-MNIST 450 runs submitted
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  • OpenML-CC18 study_218 study_99 vision
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.6842, kappa: 0.6729, kb_relative_information_score: 0.6709, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.18, weighted_recall: 0.7056, number_of_instances: 70000, precision: 0.7164, predictive_accuracy: 0.7056, prior_entropy: 3.3219, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.6754, unweighted_recall: 0.7056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.6842, kappa: 0.6729, kb_relative_information_score: 0.6709, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.18, weighted_recall: 0.7056, number_of_instances: 70000, precision: 0.7164, predictive_accuracy: 0.7056, prior_entropy: 3.3219, relative_absolute_error: 0.4539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.6754, unweighted_recall: 0.7056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9009, kappa: 0.8904, kb_relative_information_score: 0.8982, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.18, weighted_recall: 0.9013, number_of_instances: 70000, precision: 0.9009, predictive_accuracy: 0.9013, prior_entropy: 3.3219, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.3938, unweighted_recall: 0.9013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.8845, kappa: 0.872, kb_relative_information_score: 0.8817, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, weighted_recall: 0.8848, number_of_instances: 70000, precision: 0.8846, predictive_accuracy: 0.8848, prior_entropy: 3.3219, relative_absolute_error: 0.1674, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.4408, unweighted_recall: 0.8848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8507, kappa: 0.8353, kb_relative_information_score: 0.8371, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, weighted_recall: 0.8518, number_of_instances: 70000, precision: 0.8506, predictive_accuracy: 0.8518, prior_entropy: 3.3219, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.147, root_relative_squared_error: 0.49, unweighted_recall: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8507, kappa: 0.8353, kb_relative_information_score: 0.8371, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, weighted_recall: 0.8518, number_of_instances: 70000, precision: 0.8506, predictive_accuracy: 0.8518, prior_entropy: 3.3219, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.147, root_relative_squared_error: 0.49, unweighted_recall: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8933, kappa: 0.8818, kb_relative_information_score: 0.8926, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.18, weighted_recall: 0.8937, number_of_instances: 70000, precision: 0.8933, predictive_accuracy: 0.8937, prior_entropy: 3.3219, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.4206, unweighted_recall: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, weighted_recall: 0.1, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, unweighted_recall: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.48, kappa: 0.4459, kb_relative_information_score: 0.1522, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.18, weighted_recall: 0.5013, number_of_instances: 70000, precision: 0.5425, predictive_accuracy: 0.5013, prior_entropy: 3.3219, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.9595, unweighted_recall: 0.5013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, weighted_recall: 0.1, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, unweighted_recall: 0.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, kappa: 0.1103, kb_relative_information_score: 0.2329, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.18, weighted_recall: 0.1992, number_of_instances: 70000, predictive_accuracy: 0.1992, prior_entropy: 3.3219, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.9537, unweighted_recall: 0.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9017, kappa: 0.8913, kb_relative_information_score: 0.9009, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9017, predictive_accuracy: 0.9021, prior_entropy: 3.3219, recall: 0.9021, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.118, root_relative_squared_error: 0.3935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9017, kappa: 0.8912, kb_relative_information_score: 0.9013, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9017, predictive_accuracy: 0.9021, prior_entropy: 3.3219, recall: 0.9021, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.3931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9056, kappa: 0.8955, kb_relative_information_score: 0.9052, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9057, predictive_accuracy: 0.906, prior_entropy: 3.3219, recall: 0.906, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.3887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8479, kappa: 0.8324, kb_relative_information_score: 0.6958, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8489, predictive_accuracy: 0.8491, prior_entropy: 3.3219, recall: 0.8491, relative_absolute_error: 0.4874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8456, kappa: 0.8304, kb_relative_information_score: 0.8285, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8453, predictive_accuracy: 0.8474, prior_entropy: 3.3219, recall: 0.8474, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.5011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.763, kappa: 0.7364, kb_relative_information_score: 0.7519, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7634, predictive_accuracy: 0.7628, prior_entropy: 3.3219, recall: 0.7628, relative_absolute_error: 0.2636, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.7261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7626, kappa: 0.7358, kb_relative_information_score: 0.7514, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.763, predictive_accuracy: 0.7623, prior_entropy: 3.3219, recall: 0.7623, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7594, kappa: 0.7325, kb_relative_information_score: 0.7482, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7597, predictive_accuracy: 0.7592, prior_entropy: 3.3219, recall: 0.7592, relative_absolute_error: 0.2675, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.7314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.7655, kappa: 0.7393, kb_relative_information_score: 0.7547, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7657, predictive_accuracy: 0.7654, prior_entropy: 3.3219, recall: 0.7654, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.7586, kappa: 0.7313, kb_relative_information_score: 0.7471, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7592, predictive_accuracy: 0.7582, prior_entropy: 3.3219, recall: 0.7582, relative_absolute_error: 0.2687, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.7331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8277, kappa: 0.8122, kb_relative_information_score: 0.7853, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8312, predictive_accuracy: 0.831, prior_entropy: 3.3219, recall: 0.831, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1597, root_relative_squared_error: 0.5323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7619, kappa: 0.7354, kb_relative_information_score: 0.751, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7619, predictive_accuracy: 0.7619, prior_entropy: 3.3219, recall: 0.7619, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.7274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8451, kappa: 0.83, kb_relative_information_score: 0.8283, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8449, predictive_accuracy: 0.847, prior_entropy: 3.3219, recall: 0.847, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.5014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.8472, kappa: 0.8327, kb_relative_information_score: 0.8425, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.847, predictive_accuracy: 0.8494, prior_entropy: 3.3219, recall: 0.8494, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.7625, kappa: 0.7354, kb_relative_information_score: 0.7509, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7633, predictive_accuracy: 0.7618, prior_entropy: 3.3219, recall: 0.7618, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.7275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7651, kappa: 0.7384, kb_relative_information_score: 0.7538, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7656, predictive_accuracy: 0.7646, prior_entropy: 3.3219, recall: 0.7646, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.8869, kappa: 0.8757, kb_relative_information_score: 0.8538, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8872, predictive_accuracy: 0.8881, prior_entropy: 3.3219, recall: 0.8881, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.8856, kappa: 0.8746, kb_relative_information_score: 0.8467, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8861, predictive_accuracy: 0.8871, prior_entropy: 3.3219, recall: 0.8871, relative_absolute_error: 0.2577, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.4477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8481, kappa: 0.8339, kb_relative_information_score: 0.8289, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.849, predictive_accuracy: 0.8505, prior_entropy: 3.3219, recall: 0.8505, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1492, root_relative_squared_error: 0.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.7691, kappa: 0.7457, kb_relative_information_score: 0.7439, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7697, predictive_accuracy: 0.7711, prior_entropy: 3.3219, recall: 0.7711, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.8807, kappa: 0.8689, kb_relative_information_score: 0.8495, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8811, predictive_accuracy: 0.882, prior_entropy: 3.3219, recall: 0.882, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.134, root_relative_squared_error: 0.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9081, kappa: 0.8986, kb_relative_information_score: 0.9069, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9082, predictive_accuracy: 0.9087, prior_entropy: 3.3219, recall: 0.9087, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.3808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.8807, kappa: 0.8689, kb_relative_information_score: 0.8495, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8811, predictive_accuracy: 0.882, prior_entropy: 3.3219, recall: 0.882, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.134, root_relative_squared_error: 0.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.8458, kappa: 0.83, kb_relative_information_score: 0.8172, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.846, predictive_accuracy: 0.847, prior_entropy: 3.3219, recall: 0.847, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.4954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8872, kappa: 0.8751, kb_relative_information_score: 0.8865, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8871, predictive_accuracy: 0.8876, prior_entropy: 3.3219, recall: 0.8876, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9072, kappa: 0.8972, kb_relative_information_score: 0.9066, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9072, predictive_accuracy: 0.9075, prior_entropy: 3.3219, recall: 0.9075, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.3854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.8458, kappa: 0.8301, kb_relative_information_score: 0.8172, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8461, predictive_accuracy: 0.8471, prior_entropy: 3.3219, recall: 0.8471, relative_absolute_error: 0.286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.4954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.8757, kappa: 0.8627, kb_relative_information_score: 0.8671, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8756, predictive_accuracy: 0.8765, prior_entropy: 3.3219, recall: 0.8765, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.4414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.8988, kappa: 0.8881, kb_relative_information_score: 0.9027, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8988, predictive_accuracy: 0.8993, prior_entropy: 3.3219, recall: 0.8993, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.4282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8189, kappa: 0.8003, kb_relative_information_score: 0.7654, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8204, predictive_accuracy: 0.8203, prior_entropy: 3.3219, recall: 0.8203, relative_absolute_error: 0.3669, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9134, kappa: 0.9044, kb_relative_information_score: 0.9165, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9135, predictive_accuracy: 0.914, prior_entropy: 3.3219, recall: 0.914, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9121, kappa: 0.9027, kb_relative_information_score: 0.9138, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9121, predictive_accuracy: 0.9125, prior_entropy: 3.3219, recall: 0.9125, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1134, root_relative_squared_error: 0.3781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9032, kappa: 0.8928, kb_relative_information_score: 0.901, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9032, predictive_accuracy: 0.9036, prior_entropy: 3.3219, recall: 0.9036, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.3922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.8739, kappa: 0.8609, kb_relative_information_score: 0.862, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8738, predictive_accuracy: 0.8748, prior_entropy: 3.3219, recall: 0.8748, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.4447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.2774, kappa: 0.1928, kb_relative_information_score: 0.2422, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.3878, predictive_accuracy: 0.2735, prior_entropy: 3.3219, recall: 0.2735, relative_absolute_error: 0.8095, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3794, root_relative_squared_error: 1.2647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kappa: 0.013, kb_relative_information_score: 0.071, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1117, prior_entropy: 3.3219, recall: 0.1117, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4215, root_relative_squared_error: 1.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.8772, kappa: 0.8643, kb_relative_information_score: 0.8696, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8771, predictive_accuracy: 0.8779, prior_entropy: 3.3219, recall: 0.8779, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.4456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9125, kappa: 0.9034, kb_relative_information_score: 0.9153, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9126, predictive_accuracy: 0.913, prior_entropy: 3.3219, recall: 0.913, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5092, kappa: 0.0219, kb_relative_information_score: 0.0796, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1197, prior_entropy: 3.3219, recall: 0.1197, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4187, root_relative_squared_error: 1.3957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8277, kappa: 0.811, kb_relative_information_score: 0.7797, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8287, predictive_accuracy: 0.8299, prior_entropy: 3.3219, recall: 0.8299, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8232, kappa: 0.803, kb_relative_information_score: 0.8148, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8238, predictive_accuracy: 0.8227, prior_entropy: 3.3219, recall: 0.8227, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.188, root_relative_squared_error: 0.6267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9142, kappa: 0.9052, kb_relative_information_score: 0.9172, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9143, predictive_accuracy: 0.9147, prior_entropy: 3.3219, recall: 0.9147, relative_absolute_error: 0.1028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.3908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9054, kappa: 0.8953, kb_relative_information_score: 0.9081, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9055, predictive_accuracy: 0.9058, prior_entropy: 3.3219, recall: 0.9058, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.85, kappa: 0.8347, kb_relative_information_score: 0.8237, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8502, predictive_accuracy: 0.8512, prior_entropy: 3.3219, recall: 0.8512, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.4885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8451, kappa: 0.829, kb_relative_information_score: 0.836, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8448, predictive_accuracy: 0.8461, prior_entropy: 3.3219, recall: 0.8461, relative_absolute_error: 0.2261, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.5262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.898, kappa: 0.8874, kb_relative_information_score: 0.8903, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.898, predictive_accuracy: 0.8986, prior_entropy: 3.3219, recall: 0.8986, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.4005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8283, kappa: 0.8098, kb_relative_information_score: 0.8244, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.828, predictive_accuracy: 0.8288, prior_entropy: 3.3219, recall: 0.8288, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6564, f_measure: 0.3808, kappa: 0.3125, kb_relative_information_score: 0.353, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.3851, predictive_accuracy: 0.3813, prior_entropy: 3.3219, recall: 0.3813, relative_absolute_error: 0.6875, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3518, root_relative_squared_error: 1.1726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.866, kappa: 0.8524, kb_relative_information_score: 0.8516, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.866, predictive_accuracy: 0.8671, prior_entropy: 3.3219, recall: 0.8671, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.886, kappa: 0.8741, kb_relative_information_score: 0.8767, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8858, predictive_accuracy: 0.8867, prior_entropy: 3.3219, recall: 0.8867, relative_absolute_error: 0.1899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.4222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kappa: 0.0023, kb_relative_information_score: 0.061, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.102, prior_entropy: 3.3219, recall: 0.102, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.4121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.8398, kappa: 0.8234, kb_relative_information_score: 0.794, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.84, predictive_accuracy: 0.841, prior_entropy: 3.3219, recall: 0.841, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.4881, kappa: 0.4289, kb_relative_information_score: 0.4625, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.4925, predictive_accuracy: 0.486, prior_entropy: 3.3219, recall: 0.486, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3206, root_relative_squared_error: 1.0688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9102, kappa: 0.9007, kb_relative_information_score: 0.9127, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9102, predictive_accuracy: 0.9106, prior_entropy: 3.3219, recall: 0.9106, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8399, kappa: 0.822, kb_relative_information_score: 0.8358, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8399, predictive_accuracy: 0.8398, prior_entropy: 3.3219, recall: 0.8398, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.6806, kappa: 0.6218, kb_relative_information_score: 0.6497, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7492, predictive_accuracy: 0.6596, prior_entropy: 3.3219, recall: 0.6596, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9118, kappa: 0.9023, kb_relative_information_score: 0.9154, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9118, predictive_accuracy: 0.9121, prior_entropy: 3.3219, recall: 0.9121, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.116, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8187, kappa: 0.8, kb_relative_information_score: 0.7394, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8201, predictive_accuracy: 0.82, prior_entropy: 3.3219, recall: 0.82, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.5583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8427, kappa: 0.8242, kb_relative_information_score: 0.8384, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8439, predictive_accuracy: 0.8418, prior_entropy: 3.3219, recall: 0.8418, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.5765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.7949, kappa: 0.773, kb_relative_information_score: 0.7889, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7948, predictive_accuracy: 0.7957, prior_entropy: 3.3219, recall: 0.7957, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.6322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9097, kappa: 0.8998, kb_relative_information_score: 0.9102, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9097, predictive_accuracy: 0.9098, prior_entropy: 3.3219, recall: 0.9098, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.8309, kappa: 0.813, kb_relative_information_score: 0.7885, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8316, predictive_accuracy: 0.8317, prior_entropy: 3.3219, recall: 0.8317, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.5222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.909, kappa: 0.8993, kb_relative_information_score: 0.9112, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9091, predictive_accuracy: 0.9093, prior_entropy: 3.3219, recall: 0.9093, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1159, root_relative_squared_error: 0.3864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.8775, kappa: 0.8647, kb_relative_information_score: 0.8718, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8774, predictive_accuracy: 0.8782, prior_entropy: 3.3219, recall: 0.8782, relative_absolute_error: 0.1873, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.4513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9114, kappa: 0.9021, kb_relative_information_score: 0.9153, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9115, predictive_accuracy: 0.9119, prior_entropy: 3.3219, recall: 0.9119, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9007, kappa: 0.8903, kb_relative_information_score: 0.8979, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9008, predictive_accuracy: 0.9013, prior_entropy: 3.3219, recall: 0.9013, relative_absolute_error: 0.1498, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9116, kappa: 0.9023, kb_relative_information_score: 0.9155, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9117, predictive_accuracy: 0.9121, prior_entropy: 3.3219, recall: 0.9121, relative_absolute_error: 0.1061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.3936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9013, kappa: 0.891, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9013, predictive_accuracy: 0.9019, prior_entropy: 3.3219, recall: 0.9019, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.3941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.8713, kappa: 0.8567, kb_relative_information_score: 0.8707, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8718, predictive_accuracy: 0.871, prior_entropy: 3.3219, recall: 0.871, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.5061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.8355, kappa: 0.8185, kb_relative_information_score: 0.8008, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8361, predictive_accuracy: 0.8367, prior_entropy: 3.3219, recall: 0.8367, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.154, root_relative_squared_error: 0.5133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8366, kappa: 0.8196, kb_relative_information_score: 0.8076, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.837, predictive_accuracy: 0.8377, prior_entropy: 3.3219, recall: 0.8377, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.8912, kappa: 0.8792, kb_relative_information_score: 0.8934, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8913, predictive_accuracy: 0.8913, prior_entropy: 3.3219, recall: 0.8913, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1277, root_relative_squared_error: 0.4256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8407, kappa: 0.8228, kb_relative_information_score: 0.8385, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8409, predictive_accuracy: 0.8405, prior_entropy: 3.3219, recall: 0.8405, relative_absolute_error: 0.1798, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9143, kappa: 0.9053, kb_relative_information_score: 0.9172, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9143, predictive_accuracy: 0.9147, prior_entropy: 3.3219, recall: 0.9147, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9095, kappa: 0.8999, kb_relative_information_score: 0.911, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9095, predictive_accuracy: 0.9099, prior_entropy: 3.3219, recall: 0.9099, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.3816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.8993, kappa: 0.8887, kb_relative_information_score: 0.8961, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8994, predictive_accuracy: 0.8998, prior_entropy: 3.3219, recall: 0.8998, relative_absolute_error: 0.1569, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1195, root_relative_squared_error: 0.3984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.8906, kappa: 0.8792, kb_relative_information_score: 0.8842, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8905, predictive_accuracy: 0.8913, prior_entropy: 3.3219, recall: 0.8913, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.4159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.8865, kappa: 0.8747, kb_relative_information_score: 0.8765, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8864, predictive_accuracy: 0.8872, prior_entropy: 3.3219, recall: 0.8872, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.4231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.8906, kappa: 0.879, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8905, predictive_accuracy: 0.8911, prior_entropy: 3.3219, recall: 0.8911, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.4172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.8604, kappa: 0.846, kb_relative_information_score: 0.8431, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8603, predictive_accuracy: 0.8614, prior_entropy: 3.3219, recall: 0.8614, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.4686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0588, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 70000, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.826, kappa: 0.8057, kb_relative_information_score: 0.8193, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.8272, predictive_accuracy: 0.8251, prior_entropy: 3.3219, recall: 0.8251, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.6141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9091, kappa: 0.8995, kb_relative_information_score: 0.913, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.9092, predictive_accuracy: 0.9096, prior_entropy: 3.3219, recall: 0.9096, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1199, root_relative_squared_error: 0.3995,

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

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

OpenML APIs