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: 0.933, f_measure: 0.9133, kappa: 0.869, kb_relative_information_score: 0.8778, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9135, predictive_accuracy: 0.9135, prior_entropy: 1.7146, recall: 0.9135, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.208, root_relative_squared_error: 0.5111,
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: 0.9415, 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: 0.8471, 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: 0.9443, 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: 0.9408, 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: 0.943, 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: 0.9313, 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: 0.8823, 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: 0.9445, 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: 0.8785, 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: 0.8318, 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: 0.8965, f_measure: 0.8642, kappa: 0.7947, kb_relative_information_score: 0.8119, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8658, predictive_accuracy: 0.8638, prior_entropy: 1.7146, recall: 0.8638, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.6412,
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: 0.8308, 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: 0.945, 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: 0.9324, 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: 0.9369, 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: 0.9365, 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: 0.9426, 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: 0.8153, 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: 0.8151, 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: 0.913, 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: 0.9449, 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: 0.5255, f_measure: 0.3515, kappa: 0.0396, kb_relative_information_score: 0.0819, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.3661, predictive_accuracy: 0.3585, prior_entropy: 1.7146, recall: 0.3585, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5663, root_relative_squared_error: 1.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.9264, kappa: 0.8887, kb_relative_information_score: 0.896, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9265, predictive_accuracy: 0.9265, prior_entropy: 1.7146, recall: 0.9265, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4711,
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: 0.6579, 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: 0.8453, f_measure: 0.6617, kappa: 0.4995, kb_relative_information_score: 2334.6595, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6932, predictive_accuracy: 0.6703, prior_entropy: 1.7151, recall: 0.6703, relative_absolute_error: 0.6868, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.8237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 0.9916, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7146, recall: 0.9947, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0516, root_relative_squared_error: 0.1267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5789, f_measure: 0.4414, kappa: 0.1589, kb_relative_information_score: 0.2336, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4977, predictive_accuracy: 0.4863, prior_entropy: 1.7146, recall: 0.4863, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5068, root_relative_squared_error: 1.2454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8977, kappa: 0.8455, kb_relative_information_score: 0.8561, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8978, predictive_accuracy: 0.8979, prior_entropy: 1.7146, recall: 0.8979, relative_absolute_error: 0.1541, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.5552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9961, kb_relative_information_score: 0.9961, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 1.7146, recall: 0.9974, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0344, root_relative_squared_error: 0.0845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 0.9963, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7146, recall: 0.998, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0292, root_relative_squared_error: 0.0717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 0.9931, mean_absolute_error: 0.0025, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7146, recall: 0.9952, relative_absolute_error: 0.0075, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.1084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 0.9968, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7146, recall: 0.998, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0312, root_relative_squared_error: 0.0766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 0.9931, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7146, recall: 0.9956, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.043, root_relative_squared_error: 0.1057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 0.9964, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7146, recall: 0.9978, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.0798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 0.9929, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7146, recall: 0.9954, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.046, root_relative_squared_error: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 0.9951, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7146, recall: 0.9967, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0375, root_relative_squared_error: 0.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 0.9965, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7146, recall: 0.9976, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0326, root_relative_squared_error: 0.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 0.9964, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7146, recall: 0.9976, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0341, root_relative_squared_error: 0.0839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 0.9913, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7146, recall: 0.9973, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0323, root_relative_squared_error: 0.0794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 0.9964, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7146, recall: 0.9976, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0333, root_relative_squared_error: 0.0819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9951, kappa: 0.9925, kb_relative_information_score: 0.9929, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7146, recall: 0.9951, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0462, root_relative_squared_error: 0.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 0.9834, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7146, recall: 0.9952, relative_absolute_error: 0.0251, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0419, root_relative_squared_error: 0.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9974, kappa: 0.9961, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 1.7146, recall: 0.9974, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0344, root_relative_squared_error: 0.0846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 0.9882, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7146, recall: 0.9952, relative_absolute_error: 0.0167, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0407, root_relative_squared_error: 0.0999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 0.9966, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7146, recall: 0.998, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0313, root_relative_squared_error: 0.0768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 0.9953, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7146, recall: 0.9978, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0291, root_relative_squared_error: 0.0714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 0.9951, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7146, recall: 0.9969, relative_absolute_error: 0.005, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0362, root_relative_squared_error: 0.0889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 0.9962, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7146, recall: 0.9976, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0327, root_relative_squared_error: 0.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 0.9963, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7146, recall: 0.9976, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0314, root_relative_squared_error: 0.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 0.9967, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7146, recall: 0.998, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0311, root_relative_squared_error: 0.0764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 0.9968, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1.7146, recall: 0.9982, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0303, root_relative_squared_error: 0.0745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 0.9966, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7146, recall: 0.9978, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0327, root_relative_squared_error: 0.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 0.9922, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7146, recall: 0.9978, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0307, root_relative_squared_error: 0.0754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 0.995, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7146, recall: 0.9971, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0356, root_relative_squared_error: 0.0874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 0.9933, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7146, recall: 0.9956, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.1116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 22.8412, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.012, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, kappa: 0.5696, kb_relative_information_score: 318.0451, mean_absolute_error: 0.344, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.7399, prior_entropy: 1.7151, recall: 0.7399, relative_absolute_error: 1.0385, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.9827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, kb_relative_information_score: 14.2063, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0989, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4217, root_relative_squared_error: 1.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, kappa: 0.5109, kb_relative_information_score: 65.1944, mean_absolute_error: 0.361, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.7056, prior_entropy: 1.7151, recall: 0.7056, relative_absolute_error: 1.0899, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.0279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9054, kappa: 0.8572, kb_relative_information_score: 4213.456, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9063, predictive_accuracy: 0.9058, prior_entropy: 1.7151, recall: 0.9058, relative_absolute_error: 0.3053, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.4723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, kb_relative_information_score: 21.682, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1.0975, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, kappa: 0.6083, kb_relative_information_score: 637.1424, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.7615, prior_entropy: 1.7151, recall: 0.7615, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 82.8268, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8703, kappa: 0.8045, kb_relative_information_score: 3884.5081, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8722, predictive_accuracy: 0.8699, prior_entropy: 1.7151, recall: 0.8699, relative_absolute_error: 0.3774, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, kappa: 0.4831, kb_relative_information_score: 205.4855, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.6879, prior_entropy: 1.7151, recall: 0.6879, relative_absolute_error: 1.0564, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, kappa: 0.3299, kb_relative_information_score: 23.1521, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.5975, prior_entropy: 1.7151, recall: 0.5975, relative_absolute_error: 1.0952, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4204, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9005, kappa: 0.8496, kb_relative_information_score: 4461.3201, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.901, predictive_accuracy: 0.9008, prior_entropy: 1.7151, recall: 0.9008, relative_absolute_error: 0.2262, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.91, kappa: 0.8639, kb_relative_information_score: 0.8737, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.91, predictive_accuracy: 0.91, prior_entropy: 1.7146, recall: 0.91, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.5213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.9063, kappa: 0.8584, kb_relative_information_score: 0.8711, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9068, 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: 0.748, 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: 0.8178, 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: 0.7903, 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: 0.7905, 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: 0.9265, 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: 0.94, 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: 0.9367, 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: 0.8266, 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: 0.9445, 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: 0.9101, 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: 0.8859, 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: 0.8203, 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: 0.9142, 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: 0.9447, 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: 0.7612, 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: 0.9288, 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: 0.5751, 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: 0.5809, 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,

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