Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20382 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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20382 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7865, kappa: 0.6713, kb_relative_information_score: 0.6818, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8283, predictive_accuracy: 0.7883, prior_entropy: 1.7146, recall: 0.7883, relative_absolute_error: 0.3195, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.7995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7635, kappa: 0.6367, kb_relative_information_score: 0.6467, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8177, predictive_accuracy: 0.7672, prior_entropy: 1.7146, recall: 0.7672, relative_absolute_error: 0.3514, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.8383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7292, kappa: 0.5903, kb_relative_information_score: 0.6148, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7402, predictive_accuracy: 0.7348, prior_entropy: 1.7146, recall: 0.7348, relative_absolute_error: 0.4003, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.8948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, kappa: 0.3203, kb_relative_information_score: 0.3514, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5874, prior_entropy: 1.7146, recall: 0.5874, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4542, root_relative_squared_error: 1.1161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7232, kappa: 0.5819, kb_relative_information_score: 0.6058, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7368, predictive_accuracy: 0.7306, prior_entropy: 1.7146, recall: 0.7306, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, kappa: 0.0038, kb_relative_information_score: 0.13, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4063, prior_entropy: 1.7146, recall: 0.4063, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5448, root_relative_squared_error: 1.3388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9248, kappa: 0.8862, kb_relative_information_score: 0.8931, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9249, predictive_accuracy: 0.9249, prior_entropy: 1.7146, recall: 0.9249, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7745, kappa: 0.6531, kb_relative_information_score: 0.6634, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8225, predictive_accuracy: 0.7771, prior_entropy: 1.7146, recall: 0.7771, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.7165, kappa: 0.5754, kb_relative_information_score: 0.5996, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.739, predictive_accuracy: 0.7275, prior_entropy: 1.7146, recall: 0.7275, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.7881, kappa: 0.6741, kb_relative_information_score: 0.6847, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.827, predictive_accuracy: 0.79, prior_entropy: 1.7146, recall: 0.79, relative_absolute_error: 0.3171, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.7964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7677, kappa: 0.6428, kb_relative_information_score: 0.6532, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8193, predictive_accuracy: 0.7709, prior_entropy: 1.7146, recall: 0.7709, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9288, kappa: 0.8924, kb_relative_information_score: 0.8999, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9289, predictive_accuracy: 0.9289, prior_entropy: 1.7146, recall: 0.9289, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1886, root_relative_squared_error: 0.4634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9128, kappa: 0.8681, kb_relative_information_score: 0.8767, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9129, predictive_accuracy: 0.9129, prior_entropy: 1.7146, recall: 0.9129, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.9258, kappa: 0.8878, kb_relative_information_score: 0.8969, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9261, predictive_accuracy: 0.9258, prior_entropy: 1.7146, recall: 0.9258, relative_absolute_error: 0.112, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.4734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8452, kappa: 0.765, kb_relative_information_score: 0.7821, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8463, predictive_accuracy: 0.8459, prior_entropy: 1.7146, recall: 0.8459, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.6822,
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: 0.9415, 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: 0.8197, f_measure: 0.7738, kappa: 0.6518, kb_relative_information_score: 0.6621, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8227, predictive_accuracy: 0.7764, prior_entropy: 1.7146, recall: 0.7764, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.8217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.7894, kappa: 0.6761, kb_relative_information_score: 0.6867, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8274, predictive_accuracy: 0.7912, prior_entropy: 1.7146, recall: 0.7912, relative_absolute_error: 0.3151, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.7939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.9263, kappa: 0.8886, kb_relative_information_score: 0.8968, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9264, predictive_accuracy: 0.9263, prior_entropy: 1.7146, recall: 0.9263, relative_absolute_error: 0.1112, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9282, kappa: 0.8914, kb_relative_information_score: 0.8998, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9284, 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: 0.8203, f_measure: 0.7646, kappa: 0.6498, kb_relative_information_score: 0.6711, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7785, predictive_accuracy: 0.7736, prior_entropy: 1.7146, recall: 0.7736, relative_absolute_error: 0.3417, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.8267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.6993, kappa: 0.5577, kb_relative_information_score: 0.584, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7468, predictive_accuracy: 0.7181, prior_entropy: 1.7146, recall: 0.7181, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7563, f_measure: 0.6748, kappa: 0.5241, kb_relative_information_score: 0.5502, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7415, predictive_accuracy: 0.6994, prior_entropy: 1.7146, recall: 0.6994, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.9527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7247, kappa: 0.5933, kb_relative_information_score: 0.6189, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7564, predictive_accuracy: 0.7388, prior_entropy: 1.7146, recall: 0.7388, relative_absolute_error: 0.3942, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.9086, kappa: 0.8617, kb_relative_information_score: 0.8677, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9091, predictive_accuracy: 0.9089, prior_entropy: 1.7146, recall: 0.9089, relative_absolute_error: 0.1375, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.5244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.9061, kappa: 0.8578, kb_relative_information_score: 0.8643, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9066, predictive_accuracy: 0.9063, prior_entropy: 1.7146, recall: 0.9063, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.5318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8864, kappa: 0.828, kb_relative_information_score: 0.8403, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8867, predictive_accuracy: 0.8865, prior_entropy: 1.7146, recall: 0.8865, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.5853,
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: 0.7899, 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: 0.7893, 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: 0.9367, f_measure: 0.9187, kappa: 0.877, kb_relative_information_score: 0.8849, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9189, predictive_accuracy: 0.9188, prior_entropy: 1.7146, recall: 0.9188, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9187, kappa: 0.877, kb_relative_information_score: 0.8849, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9188, predictive_accuracy: 0.9188, prior_entropy: 1.7146, recall: 0.9188, relative_absolute_error: 0.1226, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9221, kappa: 0.8823, kb_relative_information_score: 0.8918, 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: 0.7495, f_measure: 0.677, kappa: 0.5079, kb_relative_information_score: 0.5407, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6846, predictive_accuracy: 0.6818, prior_entropy: 1.7146, recall: 0.6818, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.9107, kappa: 0.8648, kb_relative_information_score: 0.8738, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9108, predictive_accuracy: 0.9107, prior_entropy: 1.7146, recall: 0.9107, relative_absolute_error: 0.1347, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.5191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, f_measure: 0.7265, kappa: 0.5901, kb_relative_information_score: 0.6086, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7535, predictive_accuracy: 0.7383, prior_entropy: 1.7146, recall: 0.7383, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.889,
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: 0.9098, 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: 0.8983, 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: 0.8884, 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: 0.9422, 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: 0.7765, 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: 0.7559, 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: 0.7799, 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: 0.9112, 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: 0.9017, 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: 0.9442, 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: 0.9265, f_measure: 0.9058, kappa: 0.8574, kb_relative_information_score: 0.8634, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9066, predictive_accuracy: 0.9062, prior_entropy: 1.7146, recall: 0.9062, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.5323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9217, kappa: 0.8816, kb_relative_information_score: 0.8906, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9218, 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: 0.7905, f_measure: 0.7303, kappa: 0.5894, kb_relative_information_score: 0.6162, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.737, predictive_accuracy: 0.7324, prior_entropy: 1.7146, recall: 0.7324, relative_absolute_error: 0.4039, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3658, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7468, f_measure: 0.662, kappa: 0.5046, kb_relative_information_score: 0.5318, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7318, predictive_accuracy: 0.6875, prior_entropy: 1.7146, recall: 0.6875, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.6891, kappa: 0.5319, kb_relative_information_score: 0.5567, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7122, predictive_accuracy: 0.7007, prior_entropy: 1.7146, recall: 0.7007, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3868, root_relative_squared_error: 0.9506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7301, kappa: 0.589, kb_relative_information_score: 0.6158, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7371, 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: 0.9438, f_measure: 0.9276, kappa: 0.8905, kb_relative_information_score: 0.8988, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9277, predictive_accuracy: 0.9276, prior_entropy: 1.7146, recall: 0.9276, relative_absolute_error: 0.1093, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.7742, kappa: 0.6629, kb_relative_information_score: 0.6823, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7861, predictive_accuracy: 0.7821, prior_entropy: 1.7146, recall: 0.7821, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.8112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8394, kappa: 0.7563, kb_relative_information_score: 0.7737, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8409, predictive_accuracy: 0.8404, prior_entropy: 1.7146, recall: 0.8404, relative_absolute_error: 0.241, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2825, root_relative_squared_error: 0.6943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5558, f_measure: 0.4014, kappa: 0.0989, kb_relative_information_score: 0.1405, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3998, predictive_accuracy: 0.4036, prior_entropy: 1.7146, recall: 0.4036, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5461, root_relative_squared_error: 1.3419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.8884, kappa: 0.831, kb_relative_information_score: 0.8402, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.889, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.4261, kappa: 0.1441, kb_relative_information_score: 0.2094, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3916, predictive_accuracy: 0.4696, prior_entropy: 1.7146, recall: 0.4696, relative_absolute_error: 0.8007, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.515, root_relative_squared_error: 1.2655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.89, kappa: 0.8333, kb_relative_information_score: 0.8426, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8904, predictive_accuracy: 0.8904, prior_entropy: 1.7146, recall: 0.8904, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.5753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.9182, kappa: 0.8761, kb_relative_information_score: 0.8837, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9183, 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: 0.8929, f_measure: 0.8627, kappa: 0.7922, kb_relative_information_score: 0.8037, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.864, predictive_accuracy: 0.864, prior_entropy: 1.7146, recall: 0.864, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.6408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.5865, kappa: 0.3879, kb_relative_information_score: 0.4301, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6007, predictive_accuracy: 0.5821, prior_entropy: 1.7146, recall: 0.5821, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.1233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9231, kappa: 0.8835, kb_relative_information_score: 0.8907, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9235, 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: 0.9436, f_measure: 0.9271, kappa: 0.8896, kb_relative_information_score: 0.8967, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9276, 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: 0.916, 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: 0.8008, f_measure: 0.739, kappa: 0.6124, kb_relative_information_score: 0.6379, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7621, predictive_accuracy: 0.7502, prior_entropy: 1.7146, recall: 0.7502, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7893, kappa: 0.6863, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8002, predictive_accuracy: 0.7966, prior_entropy: 1.7146, recall: 0.7966, relative_absolute_error: 0.3071, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.7337, kappa: 0.6045, kb_relative_information_score: 0.6297, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7573, predictive_accuracy: 0.7454, prior_entropy: 1.7146, recall: 0.7454, relative_absolute_error: 0.3843, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5275, kappa: 0.056, kb_relative_information_score: 0.1669, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4368, prior_entropy: 1.7146, recall: 0.4368, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5307, root_relative_squared_error: 1.3041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.9103, kappa: 0.8642, kb_relative_information_score: 0.8702, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9107, predictive_accuracy: 0.9106, prior_entropy: 1.7146, recall: 0.9106, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.5197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8939, kappa: 0.8393, kb_relative_information_score: 0.8483, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8942, predictive_accuracy: 0.8942, prior_entropy: 1.7146, recall: 0.8942, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.23, root_relative_squared_error: 0.5651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.8868, kappa: 0.8285, kb_relative_information_score: 0.8397, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8872, predictive_accuracy: 0.8871, prior_entropy: 1.7146, recall: 0.8871, relative_absolute_error: 0.1704, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.9079, kappa: 0.8606, kb_relative_information_score: 0.8697, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.908, predictive_accuracy: 0.908, prior_entropy: 1.7146, recall: 0.908, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.5271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.8788, kappa: 0.8162, kb_relative_information_score: 0.8265, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8797, predictive_accuracy: 0.8794, prior_entropy: 1.7146, recall: 0.8794, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.6034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5809, f_measure: 0.4325, kappa: 0.1564, kb_relative_information_score: 0.221, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3955, predictive_accuracy: 0.4793, prior_entropy: 1.7146, recall: 0.4793, relative_absolute_error: 0.786, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.2539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.6685, kappa: 0.5042, kb_relative_information_score: 0.5286, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7015, predictive_accuracy: 0.6848, prior_entropy: 1.7146, recall: 0.6848, relative_absolute_error: 0.4759, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.397, root_relative_squared_error: 0.9756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.8209, kappa: 0.7286, kb_relative_information_score: 0.7464, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8233, predictive_accuracy: 0.8224, prior_entropy: 1.7146, recall: 0.8224, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.298, root_relative_squared_error: 0.7323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7646, kappa: 0.6436, kb_relative_information_score: 0.6646, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7723, predictive_accuracy: 0.7681, prior_entropy: 1.7146, recall: 0.7681, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8844, kappa: 0.8249, kb_relative_information_score: 0.8374, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8846, predictive_accuracy: 0.8845, prior_entropy: 1.7146, recall: 0.8845, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9445, f_measure: 0.9287, kappa: 0.8921, kb_relative_information_score: 0.8995, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9288, 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: 0.7852, f_measure: 0.7198, kappa: 0.5804, kb_relative_information_score: 0.6042, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7417, predictive_accuracy: 0.7306, prior_entropy: 1.7146, recall: 0.7306, relative_absolute_error: 0.4067, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.367, root_relative_squared_error: 0.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8103, kappa: 0.7126, kb_relative_information_score: 0.729, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.814, predictive_accuracy: 0.8121, prior_entropy: 1.7146, recall: 0.8121, relative_absolute_error: 0.2836, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3065, root_relative_squared_error: 0.7531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7317, kappa: 0.5986, kb_relative_information_score: 0.623, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7518, predictive_accuracy: 0.7414, prior_entropy: 1.7146, recall: 0.7414, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.6023, kappa: 0.4283, kb_relative_information_score: 0.4568, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7028, predictive_accuracy: 0.6448, prior_entropy: 1.7146, recall: 0.6448, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4214, root_relative_squared_error: 1.0356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.8543, kappa: 0.7793, kb_relative_information_score: 0.7929, mean_absolute_error: 0.0722, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.856, predictive_accuracy: 0.8556, prior_entropy: 1.7146, recall: 0.8556, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.6604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6003, kappa: 0.4014, kb_relative_information_score: 0.4626, mean_absolute_error: 0.1998, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.602, predictive_accuracy: 0.6004, prior_entropy: 1.7146, recall: 0.6004, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.447, root_relative_squared_error: 1.0984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8893, kappa: 0.8325, kb_relative_information_score: 0.8447, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8895, predictive_accuracy: 0.8895, prior_entropy: 1.7146, recall: 0.8895, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.5777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.8808, kappa: 0.8195, kb_relative_information_score: 0.8363, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8823, 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: 0.9447, f_measure: 0.9284, kappa: 0.8917, kb_relative_information_score: 0.9002, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9286, 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: 0.9403, f_measure: 0.9229, kappa: 0.8833, kb_relative_information_score: 0.8921, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9231, predictive_accuracy: 0.9228, prior_entropy: 1.7146, recall: 0.9228, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.9285, kappa: 0.8919, kb_relative_information_score: 0.8999, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9287, predictive_accuracy: 0.9285, prior_entropy: 1.7146, recall: 0.9285, relative_absolute_error: 0.1079, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.4646,
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: 0.855, 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: 0.8666, 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: 0.7468, 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,

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