OpenML
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20384 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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20384 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.9218, kappa: 0.8816, kb_relative_information_score: 0.8903, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9222, predictive_accuracy: 0.9217, prior_entropy: 1.7146, recall: 0.9217, relative_absolute_error: 0.1181, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9184, kappa: 0.8764, kb_relative_information_score: 0.8843, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9185, predictive_accuracy: 0.9184, prior_entropy: 1.7146, recall: 0.9184, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2019, root_relative_squared_error: 0.4962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.7613, kappa: 0.6386, kb_relative_information_score: 0.6602, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7689, predictive_accuracy: 0.7648, prior_entropy: 1.7146, recall: 0.7648, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8085, kappa: 0.7058, kb_relative_information_score: 0.7148, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8369, predictive_accuracy: 0.8098, prior_entropy: 1.7146, recall: 0.8098, relative_absolute_error: 0.2872, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.7579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.924, kappa: 0.8851, kb_relative_information_score: 0.8926, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9241, predictive_accuracy: 0.9241, prior_entropy: 1.7146, recall: 0.9241, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8799, kappa: 0.8179, kb_relative_information_score: 0.8282, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8807, predictive_accuracy: 0.8805, prior_entropy: 1.7146, recall: 0.8805, relative_absolute_error: 0.1804, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.6007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.927, kappa: 0.8895, kb_relative_information_score: 0.8966, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9272, predictive_accuracy: 0.9271, prior_entropy: 1.7146, recall: 0.9271, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6579, kappa: 0.3139, kb_relative_information_score: 0.3459, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5825, prior_entropy: 1.7146, recall: 0.5825, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4569, root_relative_squared_error: 1.1228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9241, kappa: 0.8853, kb_relative_information_score: 0.8938, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9243, predictive_accuracy: 0.9241, prior_entropy: 1.7146, recall: 0.9241, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9241, kappa: 0.8853, kb_relative_information_score: 0.8938, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9243, predictive_accuracy: 0.9241, prior_entropy: 1.7146, recall: 0.9241, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8864, kappa: 0.8282, kb_relative_information_score: 0.8437, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8872, predictive_accuracy: 0.8862, prior_entropy: 1.7146, recall: 0.8862, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.9281, kappa: 0.8913, kb_relative_information_score: 0.8982, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9281, predictive_accuracy: 0.9282, prior_entropy: 1.7146, recall: 0.9282, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9287, kappa: 0.8922, kb_relative_information_score: 0.9004, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9287, predictive_accuracy: 0.9287, prior_entropy: 1.7146, recall: 0.9287, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.923, kappa: 0.8837, kb_relative_information_score: 0.8932, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.923, predictive_accuracy: 0.923, prior_entropy: 1.7146, recall: 0.923, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.4821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.9114, kappa: 0.8659, kb_relative_information_score: 0.8748, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9115, predictive_accuracy: 0.9115, prior_entropy: 1.7146, recall: 0.9115, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2104, root_relative_squared_error: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.919, kappa: 0.8773, kb_relative_information_score: 0.8857, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9191, predictive_accuracy: 0.919, prior_entropy: 1.7146, recall: 0.919, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8496, kappa: 0.7724, kb_relative_information_score: 0.7861, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8516, predictive_accuracy: 0.8512, prior_entropy: 1.7146, recall: 0.8512, relative_absolute_error: 0.2247, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.6703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8855, kappa: 0.8262, kb_relative_information_score: 0.8307, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8884, predictive_accuracy: 0.8862, prior_entropy: 1.7146, recall: 0.8862, relative_absolute_error: 0.1718, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.859, kappa: 0.7854, kb_relative_information_score: 0.7897, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.867, predictive_accuracy: 0.8602, prior_entropy: 1.7146, recall: 0.8602, relative_absolute_error: 0.2111, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.6498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, f_measure: 0.843, kappa: 0.7604, kb_relative_information_score: 0.766, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8553, predictive_accuracy: 0.8442, prior_entropy: 1.7146, recall: 0.8442, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.6858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.8277, kappa: 0.7363, kb_relative_information_score: 0.743, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8458, predictive_accuracy: 0.829, prior_entropy: 1.7146, recall: 0.829, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.7185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9237, kappa: 0.8844, kb_relative_information_score: 0.8934, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.924, predictive_accuracy: 0.9236, prior_entropy: 1.7146, recall: 0.9236, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.4804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8526, kappa: 0.7762, kb_relative_information_score: 0.7923, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8535, predictive_accuracy: 0.853, prior_entropy: 1.7146, recall: 0.853, relative_absolute_error: 0.2219, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2711, root_relative_squared_error: 0.6662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.9171, kappa: 0.8744, kb_relative_information_score: 0.8822, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9172, predictive_accuracy: 0.9172, prior_entropy: 1.7146, recall: 0.9172, relative_absolute_error: 0.1251, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.5001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.9089, kappa: 0.8622, kb_relative_information_score: 0.871, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9091, predictive_accuracy: 0.9091, prior_entropy: 1.7146, recall: 0.9091, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8686, kappa: 0.8008, kb_relative_information_score: 0.8148, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8692, predictive_accuracy: 0.869, prior_entropy: 1.7146, recall: 0.869, relative_absolute_error: 0.1978, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.256, root_relative_squared_error: 0.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.5516, kappa: 0.3189, kb_relative_information_score: 0.3618, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5493, predictive_accuracy: 0.5561, prior_entropy: 1.7146, recall: 0.5561, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.1577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.919, kappa: 0.8776, kb_relative_information_score: 0.8871, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9192, predictive_accuracy: 0.919, prior_entropy: 1.7146, recall: 0.919, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.9075, kappa: 0.8602, kb_relative_information_score: 0.8697, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9076, predictive_accuracy: 0.9076, prior_entropy: 1.7146, recall: 0.9076, relative_absolute_error: 0.1394, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.5281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7295, kappa: 0.5895, kb_relative_information_score: 0.6141, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7393, predictive_accuracy: 0.7339, prior_entropy: 1.7146, recall: 0.7339, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7209, kappa: 0.5726, kb_relative_information_score: 0.5864, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8065, predictive_accuracy: 0.728, prior_entropy: 1.7146, recall: 0.728, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.854, kappa: 0.7777, kb_relative_information_score: 0.7827, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.863, predictive_accuracy: 0.8552, prior_entropy: 1.7146, recall: 0.8552, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.6612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.5458, kappa: 0.3352, kb_relative_information_score: 0.3727, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7738, predictive_accuracy: 0.5876, prior_entropy: 1.7146, recall: 0.5876, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4541, root_relative_squared_error: 1.1158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8494, kappa: 0.7704, kb_relative_information_score: 0.7757, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8596, predictive_accuracy: 0.8506, prior_entropy: 1.7146, recall: 0.8506, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.6716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7835, f_measure: 0.7177, kappa: 0.5771, kb_relative_information_score: 0.601, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7401, predictive_accuracy: 0.7286, prior_entropy: 1.7146, recall: 0.7286, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.6513, kappa: 0.4739, kb_relative_information_score: 0.4937, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7935, predictive_accuracy: 0.6694, prior_entropy: 1.7146, recall: 0.6694, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.7173, kappa: 0.5765, kb_relative_information_score: 0.6003, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7396, predictive_accuracy: 0.7282, prior_entropy: 1.7146, recall: 0.7282, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.7115, kappa: 0.5619, kb_relative_information_score: 0.5893, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7221, predictive_accuracy: 0.7166, prior_entropy: 1.7146, recall: 0.7166, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8353, kappa: 0.7481, kb_relative_information_score: 0.7541, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8507, predictive_accuracy: 0.8365, prior_entropy: 1.7146, recall: 0.8365, relative_absolute_error: 0.2468, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.7026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8322, kappa: 0.7434, kb_relative_information_score: 0.7494, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.849, predictive_accuracy: 0.8336, prior_entropy: 1.7146, recall: 0.8336, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2885, root_relative_squared_error: 0.7089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.8397, kappa: 0.7553, kb_relative_information_score: 0.7605, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8535, predictive_accuracy: 0.8411, prior_entropy: 1.7146, recall: 0.8411, relative_absolute_error: 0.2399, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.6927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8469, kappa: 0.7676, kb_relative_information_score: 0.7846, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.848, predictive_accuracy: 0.8475, prior_entropy: 1.7146, recall: 0.8475, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.6785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9206, kappa: 0.8798, kb_relative_information_score: 0.8879, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9207, predictive_accuracy: 0.9206, prior_entropy: 1.7146, recall: 0.9206, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.4895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, kappa: 0.3007, kb_relative_information_score: 0.3361, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5742, prior_entropy: 1.7146, recall: 0.5742, relative_absolute_error: 0.6427, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4614, root_relative_squared_error: 1.1338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9294, kappa: 0.8932, kb_relative_information_score: 0.9005, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9295, predictive_accuracy: 0.9294, prior_entropy: 1.7146, recall: 0.9294, relative_absolute_error: 0.1065, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7183, kappa: 0.5761, kb_relative_information_score: 0.5798, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7983, predictive_accuracy: 0.7333, prior_entropy: 1.7146, recall: 0.7333, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.8973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.9161, kappa: 0.8731, kb_relative_information_score: 0.8809, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9163, predictive_accuracy: 0.9162, prior_entropy: 1.7146, recall: 0.9162, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.5029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9178, kappa: 0.8756, kb_relative_information_score: 0.883, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9179, predictive_accuracy: 0.9179, prior_entropy: 1.7146, recall: 0.9179, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8426, kappa: 0.7597, kb_relative_information_score: 0.765, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8556, predictive_accuracy: 0.8438, prior_entropy: 1.7146, recall: 0.8438, relative_absolute_error: 0.2357, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.6866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7073, kappa: 0.553, kb_relative_information_score: 0.5674, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8026, predictive_accuracy: 0.7163, prior_entropy: 1.7146, recall: 0.7163, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.783, kappa: 0.6774, kb_relative_information_score: 0.6964, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7956, predictive_accuracy: 0.7911, prior_entropy: 1.7146, recall: 0.7911, relative_absolute_error: 0.3154, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.7943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, kappa: 0.3546, kb_relative_information_score: 0.3758, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.607, prior_entropy: 1.7146, recall: 0.607, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4433, root_relative_squared_error: 1.0892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.7765, kappa: 0.6561, kb_relative_information_score: 0.6665, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8234, predictive_accuracy: 0.779, prior_entropy: 1.7146, recall: 0.779, relative_absolute_error: 0.3337, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.8169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.7485, kappa: 0.6193, kb_relative_information_score: 0.6416, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7578, predictive_accuracy: 0.7529, prior_entropy: 1.7146, recall: 0.7529, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, kappa: 0.3057, kb_relative_information_score: 0.3411, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.579, prior_entropy: 1.7146, recall: 0.579, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.1274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7392, kappa: 0.6055, kb_relative_information_score: 0.6287, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7496, predictive_accuracy: 0.7443, prior_entropy: 1.7146, recall: 0.7443, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.8786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7282, kappa: 0.589, kb_relative_information_score: 0.6127, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7408, predictive_accuracy: 0.7346, prior_entropy: 1.7146, recall: 0.7346, relative_absolute_error: 0.4006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3643, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.5631, kappa: 0.3611, kb_relative_information_score: 0.3992, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6634, predictive_accuracy: 0.6021, prior_entropy: 1.7146, recall: 0.6021, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.446, root_relative_squared_error: 1.0961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9283, kappa: 0.8915, kb_relative_information_score: 0.8992, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9285, predictive_accuracy: 0.9283, prior_entropy: 1.7146, recall: 0.9283, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9239, kappa: 0.8849, kb_relative_information_score: 0.8921, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.924, predictive_accuracy: 0.9239, prior_entropy: 1.7146, recall: 0.9239, relative_absolute_error: 0.1148, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.8926, kappa: 0.8372, kb_relative_information_score: 0.8424, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.894, predictive_accuracy: 0.8931, prior_entropy: 1.7146, recall: 0.8931, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, f_measure: 0.7163, kappa: 0.5687, kb_relative_information_score: 0.5957, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.726, predictive_accuracy: 0.7207, prior_entropy: 1.7146, recall: 0.7207, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8739, kappa: 0.8089, kb_relative_information_score: 0.8217, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8743, predictive_accuracy: 0.8743, prior_entropy: 1.7146, recall: 0.8743, relative_absolute_error: 0.1898, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.6161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8983, f_measure: 0.87, kappa: 0.8028, kb_relative_information_score: 0.816, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8706, predictive_accuracy: 0.8704, prior_entropy: 1.7146, recall: 0.8704, relative_absolute_error: 0.1956, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.6255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8442, kappa: 0.7633, kb_relative_information_score: 0.78, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8457, predictive_accuracy: 0.8449, prior_entropy: 1.7146, recall: 0.8449, relative_absolute_error: 0.2341, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.6842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.9255, kappa: 0.8872, kb_relative_information_score: 0.8956, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9258, predictive_accuracy: 0.9254, prior_entropy: 1.7146, recall: 0.9254, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.7288, kappa: 0.5871, kb_relative_information_score: 0.6142, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7359, predictive_accuracy: 0.7311, prior_entropy: 1.7146, recall: 0.7311, relative_absolute_error: 0.4059, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7899, f_measure: 0.7295, kappa: 0.5882, kb_relative_information_score: 0.615, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7364, predictive_accuracy: 0.7317, prior_entropy: 1.7146, recall: 0.7317, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8349, kappa: 0.7495, kb_relative_information_score: 0.7667, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8367, predictive_accuracy: 0.836, prior_entropy: 1.7146, recall: 0.836, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.7038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.8532, kappa: 0.777, kb_relative_information_score: 0.7931, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8541, predictive_accuracy: 0.8536, prior_entropy: 1.7146, recall: 0.8536, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.6649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7301, kappa: 0.5891, kb_relative_information_score: 0.6162, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7372, predictive_accuracy: 0.7322, prior_entropy: 1.7146, recall: 0.7322, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.8992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.7765, kappa: 0.6676, kb_relative_information_score: 0.6875, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7888, predictive_accuracy: 0.7848, prior_entropy: 1.7146, recall: 0.7848, relative_absolute_error: 0.3248, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.328, root_relative_squared_error: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.9117, kappa: 0.8663, kb_relative_information_score: 0.8741, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9119, predictive_accuracy: 0.9118, prior_entropy: 1.7146, recall: 0.9118, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.21, root_relative_squared_error: 0.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7188, kappa: 0.5788, kb_relative_information_score: 0.6026, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7403, predictive_accuracy: 0.7295, prior_entropy: 1.7146, recall: 0.7295, relative_absolute_error: 0.4084, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9231, kappa: 0.8837, kb_relative_information_score: 0.8907, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9232, predictive_accuracy: 0.9232, prior_entropy: 1.7146, recall: 0.9232, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.196, root_relative_squared_error: 0.4815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.688, kappa: 0.524, kb_relative_information_score: 0.5423, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7969, predictive_accuracy: 0.6985, prior_entropy: 1.7146, recall: 0.6985, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.9541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.887, kappa: 0.8286, kb_relative_information_score: 0.8328, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8898, predictive_accuracy: 0.8876, prior_entropy: 1.7146, recall: 0.8876, relative_absolute_error: 0.1696, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.237, root_relative_squared_error: 0.5824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8895, kappa: 0.8325, kb_relative_information_score: 0.8368, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8919, predictive_accuracy: 0.8902, prior_entropy: 1.7146, recall: 0.8902, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.9002, kappa: 0.8489, kb_relative_information_score: 0.8545, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9013, predictive_accuracy: 0.9007, prior_entropy: 1.7146, recall: 0.9007, relative_absolute_error: 0.15, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9278, kappa: 0.8908, kb_relative_information_score: 0.8993, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.928, predictive_accuracy: 0.9278, prior_entropy: 1.7146, recall: 0.9278, relative_absolute_error: 0.109, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.19, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.8181, kappa: 0.721, kb_relative_information_score: 0.7287, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8424, predictive_accuracy: 0.8193, prior_entropy: 1.7146, recall: 0.8193, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.7387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.6665, kappa: 0.5017, kb_relative_information_score: 0.5263, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7023, predictive_accuracy: 0.6833, prior_entropy: 1.7146, recall: 0.6833, relative_absolute_error: 0.4781, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.9779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.7307, kappa: 0.59, kb_relative_information_score: 0.6168, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7374, predictive_accuracy: 0.7328, prior_entropy: 1.7146, recall: 0.7328, relative_absolute_error: 0.4034, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8952, kappa: 0.8413, kb_relative_information_score: 0.8468, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8966, predictive_accuracy: 0.8957, prior_entropy: 1.7146, recall: 0.8957, relative_absolute_error: 0.1574, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.5611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.9213, kappa: 0.8808, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9216, predictive_accuracy: 0.9212, prior_entropy: 1.7146, recall: 0.9212, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.4878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.7251, kappa: 0.5815, kb_relative_information_score: 0.6079, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7326, predictive_accuracy: 0.7278, prior_entropy: 1.7146, recall: 0.7278, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.836, kappa: 0.7493, kb_relative_information_score: 0.755, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.851, predictive_accuracy: 0.8372, prior_entropy: 1.7146, recall: 0.8372, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2853, root_relative_squared_error: 0.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9182, kappa: 0.8762, kb_relative_information_score: 0.8841, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9184, predictive_accuracy: 0.9183, prior_entropy: 1.7146, recall: 0.9183, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8665, kappa: 0.7975, kb_relative_information_score: 0.8107, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.867, predictive_accuracy: 0.8668, prior_entropy: 1.7146, recall: 0.8668, relative_absolute_error: 0.2011, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.9169, kappa: 0.8743, kb_relative_information_score: 0.8823, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.917, predictive_accuracy: 0.917, prior_entropy: 1.7146, recall: 0.917, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.5007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3996, f_measure: 0.2165, kappa: -0.197, kb_relative_information_score: -0.0883, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.2106, predictive_accuracy: 0.2229, prior_entropy: 1.7146, recall: 0.2229, relative_absolute_error: 1.1731, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.6233, root_relative_squared_error: 1.5318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7695, f_measure: 0.6941, kappa: 0.5473, kb_relative_information_score: 0.5481, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7878, predictive_accuracy: 0.7172, prior_entropy: 1.7146, recall: 0.7172, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.922, kappa: 0.8821, kb_relative_information_score: 0.8893, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9221, predictive_accuracy: 0.9221, prior_entropy: 1.7146, recall: 0.9221, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8451, kappa: 0.7659, kb_relative_information_score: 0.7805, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8473, predictive_accuracy: 0.847, prior_entropy: 1.7146, recall: 0.847, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.7563, kappa: 0.6389, kb_relative_information_score: 0.6621, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.776, predictive_accuracy: 0.7669, prior_entropy: 1.7146, recall: 0.7669, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1273, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7146, recall: 0.4041, relative_absolute_error: 0.8994, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.3413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, kappa: 0.3147, kb_relative_information_score: 0.3474, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5841, prior_entropy: 1.7146, recall: 0.5841, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.456, root_relative_squared_error: 1.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7468, kappa: 0.6113, kb_relative_information_score: 0.622, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8137, predictive_accuracy: 0.7516, prior_entropy: 1.7146, recall: 0.7516, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.8659,

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