OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13043 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.7678, kappa: 0.7759, kb_relative_information_score: 1039.3263, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.788, predictive_accuracy: 0.7781, prior_entropy: 6.6439, recall: 0.7781, relative_absolute_error: 0.7776, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, kappa: 0.5101, kb_relative_information_score: 1014.9771, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.515, prior_entropy: 6.6439, recall: 0.515, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7822, kappa: 0.7841, kb_relative_information_score: 1220.9694, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7945, predictive_accuracy: 0.7863, prior_entropy: 6.6439, recall: 0.7863, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0672, root_relative_squared_error: 0.6757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8163, kappa: 0.8194, kb_relative_information_score: 1171.5357, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8272, predictive_accuracy: 0.8213, prior_entropy: 6.6439, recall: 0.8213, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.7162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.7034, kappa: 0.7178, kb_relative_information_score: 1000.8877, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7357, predictive_accuracy: 0.7206, prior_entropy: 6.6439, recall: 0.7206, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7088, kappa: 0.721, kb_relative_information_score: 1040.4699, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7333, predictive_accuracy: 0.7238, prior_entropy: 6.6439, recall: 0.7238, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.8154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.6244, kappa: 0.6427, kb_relative_information_score: 1081.1395, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6562, predictive_accuracy: 0.6463, prior_entropy: 6.6439, recall: 0.6463, relative_absolute_error: 0.7163, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.078, root_relative_squared_error: 0.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8016, kappa: 0.8087, kb_relative_information_score: 1079.7143, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8157, predictive_accuracy: 0.8106, prior_entropy: 6.6439, recall: 0.8106, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.078, root_relative_squared_error: 0.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.655, kappa: 0.6717, kb_relative_information_score: 954.2438, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6996, predictive_accuracy: 0.675, prior_entropy: 6.6439, recall: 0.675, relative_absolute_error: 0.834, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.086, root_relative_squared_error: 0.8644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.6851, kappa: 0.6913, kb_relative_information_score: 1135.5061, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7022, predictive_accuracy: 0.6944, prior_entropy: 6.6439, recall: 0.6944, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.074, root_relative_squared_error: 0.7435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, kappa: 0.6654, kb_relative_information_score: 932.9863, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6688, prior_entropy: 6.6439, recall: 0.6688, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.087, root_relative_squared_error: 0.8744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8038, kappa: 0.81, kb_relative_information_score: 1109.0895, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8178, predictive_accuracy: 0.8119, prior_entropy: 6.6439, recall: 0.8119, relative_absolute_error: 0.7193, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.7281, kappa: 0.7424, kb_relative_information_score: 1020.4899, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7478, predictive_accuracy: 0.745, prior_entropy: 6.6439, recall: 0.745, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0819, root_relative_squared_error: 0.8234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, kappa: 0.6029, kb_relative_information_score: 1051.4887, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6069, prior_entropy: 6.6439, recall: 0.6069, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.8049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.84, kappa: 0.8422, kb_relative_information_score: 1157.1014, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8452, predictive_accuracy: 0.8438, prior_entropy: 6.6439, recall: 0.8438, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.7287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.6094, kappa: 0.6218, kb_relative_information_score: 1098.9244, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6277, predictive_accuracy: 0.6256, prior_entropy: 6.6439, recall: 0.6256, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.7686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7412, kappa: 0.7468, kb_relative_information_score: 1106.4088, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7589, predictive_accuracy: 0.7494, prior_entropy: 6.6439, recall: 0.7494, relative_absolute_error: 0.7173, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.7904, kappa: 0.7891, kb_relative_information_score: 0.266, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7984, predictive_accuracy: 0.7913, prior_entropy: 6.6439, recall: 0.7913, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.6341, kappa: 0.6578, kb_relative_information_score: 914.1556, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6653, predictive_accuracy: 0.6613, prior_entropy: 6.6439, recall: 0.6613, relative_absolute_error: 0.8526, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.8789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.6868, kappa: 0.702, kb_relative_information_score: 982.4201, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7163, predictive_accuracy: 0.705, prior_entropy: 6.6439, recall: 0.705, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.8485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, kappa: 0.6338, kb_relative_information_score: 906.615, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6375, prior_entropy: 6.6439, recall: 0.6375, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, kappa: 0.5713, kb_relative_information_score: 1012.1199, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5756, prior_entropy: 6.6439, recall: 0.5756, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.7444, kappa: 0.7494, kb_relative_information_score: 1156.4003, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7594, predictive_accuracy: 0.7519, prior_entropy: 6.6439, recall: 0.7519, relative_absolute_error: 0.6593, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.7295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.7097, kappa: 0.7229, kb_relative_information_score: 1107.8883, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7274, predictive_accuracy: 0.7256, prior_entropy: 6.6439, recall: 0.7256, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.076, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.6521, kappa: 0.6547, kb_relative_information_score: 1174.7255, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6591, predictive_accuracy: 0.6581, prior_entropy: 6.6439, recall: 0.6581, relative_absolute_error: 0.5906, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0707, root_relative_squared_error: 0.7102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.8305, kappa: 0.834, kb_relative_information_score: 1170.1462, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8394, predictive_accuracy: 0.8356, prior_entropy: 6.6439, recall: 0.8356, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.7819, kappa: 0.7866, kb_relative_information_score: 1132.6716, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7933, predictive_accuracy: 0.7888, prior_entropy: 6.6439, recall: 0.7888, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.7483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.7243, kappa: 0.7405, kb_relative_information_score: 976.9434, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7518, predictive_accuracy: 0.7431, prior_entropy: 6.6439, recall: 0.7431, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.8483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7511, kappa: 0.7588, kb_relative_information_score: 1072.4813, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7693, predictive_accuracy: 0.7613, prior_entropy: 6.6439, recall: 0.7613, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.7933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.7002, kappa: 0.7014, kb_relative_information_score: 1186.1774, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7102, predictive_accuracy: 0.7044, prior_entropy: 6.6439, recall: 0.7044, relative_absolute_error: 0.5906, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.7027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.7614, kappa: 0.7677, kb_relative_information_score: 1138.8033, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7765, predictive_accuracy: 0.77, prior_entropy: 6.6439, recall: 0.77, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.5791, kappa: 0.5764, kb_relative_information_score: 1136.8046, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5877, predictive_accuracy: 0.5806, prior_entropy: 6.6439, recall: 0.5806, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.7418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.6137, kappa: 0.6294, kb_relative_information_score: 0.1377, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6366, predictive_accuracy: 0.6331, prior_entropy: 6.6439, recall: 0.6331, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.8206, kappa: 0.8245, kb_relative_information_score: 1169.0339, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8253, predictive_accuracy: 0.8263, prior_entropy: 6.6439, recall: 0.8263, relative_absolute_error: 0.6613, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0714, root_relative_squared_error: 0.7179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.7091, kappa: 0.7216, kb_relative_information_score: 1052.762, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7292, predictive_accuracy: 0.7244, prior_entropy: 6.6439, recall: 0.7244, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.8131, kappa: 0.8131, kb_relative_information_score: 1214.7053, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8179, predictive_accuracy: 0.815, prior_entropy: 6.6439, recall: 0.815, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.068, root_relative_squared_error: 0.6835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7141, kappa: 0.7222, kb_relative_information_score: 1084.6547, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7327, predictive_accuracy: 0.725, prior_entropy: 6.6439, recall: 0.725, relative_absolute_error: 0.7385, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, kappa: 0.1856, kb_relative_information_score: 0.0283, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1938, prior_entropy: 6.6439, recall: 0.1938, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.659, kappa: 0.6629, kb_relative_information_score: 1149.7044, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6722, predictive_accuracy: 0.6663, prior_entropy: 6.6439, recall: 0.6663, relative_absolute_error: 0.6338, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.7317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.6871, kappa: 0.7052, kb_relative_information_score: 957.3622, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7275, predictive_accuracy: 0.7081, prior_entropy: 6.6439, recall: 0.7081, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.6656, kappa: 0.685, kb_relative_information_score: 934.421, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7003, predictive_accuracy: 0.6881, prior_entropy: 6.6439, recall: 0.6881, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7838, kappa: 0.7891, kb_relative_information_score: 1100.8902, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7992, predictive_accuracy: 0.7913, prior_entropy: 6.6439, recall: 0.7913, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.7719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.5923, kappa: 0.6136, kb_relative_information_score: 1074.8837, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6233, predictive_accuracy: 0.6175, prior_entropy: 6.6439, recall: 0.6175, relative_absolute_error: 0.7125, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.7926, kappa: 0.7986, kb_relative_information_score: 1057.777, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8064, predictive_accuracy: 0.8006, prior_entropy: 6.6439, recall: 0.8006, relative_absolute_error: 0.7627, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.7982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, kappa: 0.608, kb_relative_information_score: 907.2752, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6119, prior_entropy: 6.6439, recall: 0.6119, relative_absolute_error: 0.8531, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.6984, kappa: 0.7109, kb_relative_information_score: 1137.3652, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7142, predictive_accuracy: 0.7138, prior_entropy: 6.6439, recall: 0.7138, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0737, root_relative_squared_error: 0.7404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.7438, kappa: 0.7557, kb_relative_information_score: 1040.1382, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7641, predictive_accuracy: 0.7581, prior_entropy: 6.6439, recall: 0.7581, relative_absolute_error: 0.7763, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.8119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7617, kappa: 0.7734, kb_relative_information_score: 1018.1512, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7783, predictive_accuracy: 0.7756, prior_entropy: 6.6439, recall: 0.7756, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.082, root_relative_squared_error: 0.8243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.8411, kappa: 0.8384, kb_relative_information_score: 1421.87, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8475, predictive_accuracy: 0.84, prior_entropy: 6.6439, recall: 0.84, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, kappa: 0.637, kb_relative_information_score: 976.6189, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6406, prior_entropy: 6.6439, recall: 0.6406, relative_absolute_error: 0.8136, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.8502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7125, kappa: 0.7241, kb_relative_information_score: 1042.2536, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.741, predictive_accuracy: 0.7269, prior_entropy: 6.6439, recall: 0.7269, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.7808, kappa: 0.7847, kb_relative_information_score: 1202.4048, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7882, predictive_accuracy: 0.7869, prior_entropy: 6.6439, recall: 0.7869, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0687, root_relative_squared_error: 0.6904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.7468, kappa: 0.7475, kb_relative_information_score: 923.0595, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7649, predictive_accuracy: 0.75, prior_entropy: 6.6439, recall: 0.75, relative_absolute_error: 0.8445, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0858, root_relative_squared_error: 0.8626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.83, kappa: 0.8327, kb_relative_information_score: 1214.3573, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8349, predictive_accuracy: 0.8344, prior_entropy: 6.6439, recall: 0.8344, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.6809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.6591, kappa: 0.6806, kb_relative_information_score: 892.2237, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6988, predictive_accuracy: 0.6838, prior_entropy: 6.6439, recall: 0.6838, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.8873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, kappa: 0.4905, kb_relative_information_score: 995.4139, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4956, prior_entropy: 6.6439, recall: 0.4956, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0834, root_relative_squared_error: 0.8384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.7347, kappa: 0.7449, kb_relative_information_score: 1078.3472, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7596, predictive_accuracy: 0.7475, prior_entropy: 6.6439, recall: 0.7475, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.6989, kappa: 0.7121, kb_relative_information_score: 1074.0182, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7215, predictive_accuracy: 0.715, prior_entropy: 6.6439, recall: 0.715, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.7799, kappa: 0.7866, kb_relative_information_score: 1120.241, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7932, predictive_accuracy: 0.7888, prior_entropy: 6.6439, recall: 0.7888, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0753, root_relative_squared_error: 0.7563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.6222, kappa: 0.6452, kb_relative_information_score: 1028.9151, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6605, predictive_accuracy: 0.6488, prior_entropy: 6.6439, recall: 0.6488, relative_absolute_error: 0.7754, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.8215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.771, kappa: 0.7771, kb_relative_information_score: 1156.0771, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7869, predictive_accuracy: 0.7794, prior_entropy: 6.6439, recall: 0.7794, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.7284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.8056, kappa: 0.8087, kb_relative_information_score: 1198.1065, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8126, predictive_accuracy: 0.8106, prior_entropy: 6.6439, recall: 0.8106, relative_absolute_error: 0.6246, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0691, root_relative_squared_error: 0.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, kappa: 0.5966, kb_relative_information_score: 894.3731, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6006, prior_entropy: 6.6439, recall: 0.6006, relative_absolute_error: 0.8598, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0884, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, kappa: 0.6484, kb_relative_information_score: 901.2296, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6519, prior_entropy: 6.6439, recall: 0.6519, relative_absolute_error: 0.8588, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.088, root_relative_squared_error: 0.8842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7204, kappa: 0.733, kb_relative_information_score: 1068.159, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7503, predictive_accuracy: 0.7356, prior_entropy: 6.6439, recall: 0.7356, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.7931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, kappa: 0.4653, kb_relative_information_score: 986.5394, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4706, prior_entropy: 6.6439, recall: 0.4706, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.6218, kappa: 0.6427, kb_relative_information_score: 1016.5651, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6563, predictive_accuracy: 0.6463, prior_entropy: 6.6439, recall: 0.6463, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7194, kappa: 0.7361, kb_relative_information_score: 956.8189, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.748, predictive_accuracy: 0.7388, prior_entropy: 6.6439, recall: 0.7388, relative_absolute_error: 0.8311, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.8571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, kappa: 0.5278, kb_relative_information_score: 997.8071, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5325, prior_entropy: 6.6439, recall: 0.5325, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.5522, kappa: 0.5568, kb_relative_information_score: 1100.1614, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5617, predictive_accuracy: 0.5613, prior_entropy: 6.6439, recall: 0.5613, relative_absolute_error: 0.6222, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.7664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7922, kappa: 0.7967, kb_relative_information_score: 1167.6635, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8022, predictive_accuracy: 0.7988, prior_entropy: 6.6439, recall: 0.7988, relative_absolute_error: 0.6543, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0716, root_relative_squared_error: 0.7195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.5282, kappa: 0.5372, kb_relative_information_score: 1065.233, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5376, predictive_accuracy: 0.5419, prior_entropy: 6.6439, recall: 0.5419, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.7879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.7183, kappa: 0.7292, kb_relative_information_score: 1062.8046, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7428, predictive_accuracy: 0.7319, prior_entropy: 6.6439, recall: 0.7319, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.8004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.6791, kappa: 0.6957, kb_relative_information_score: 996.9062, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7084, predictive_accuracy: 0.6988, prior_entropy: 6.6439, recall: 0.6988, relative_absolute_error: 0.8071, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, kappa: 0.5953, kb_relative_information_score: 895.7206, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5994, prior_entropy: 6.6439, recall: 0.5994, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.8873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.6653, kappa: 0.6843, kb_relative_information_score: 959.8268, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7096, predictive_accuracy: 0.6875, prior_entropy: 6.6439, recall: 0.6875, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.5852, kappa: 0.5909, kb_relative_information_score: 1119.791, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5945, predictive_accuracy: 0.595, prior_entropy: 6.6439, recall: 0.595, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0747, root_relative_squared_error: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, kappa: 0.7014, kb_relative_information_score: 1009.1082, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.7044, prior_entropy: 6.6439, recall: 0.7044, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.6349, kappa: 0.661, kb_relative_information_score: 888.7956, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6878, predictive_accuracy: 0.6644, prior_entropy: 6.6439, recall: 0.6644, relative_absolute_error: 0.8656, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.8891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, kappa: 0.5259, kb_relative_information_score: 1009.5872, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5306, prior_entropy: 6.6439, recall: 0.5306, relative_absolute_error: 0.7618, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7373, kappa: 0.7525, kb_relative_information_score: 1014.5218, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7618, predictive_accuracy: 0.755, prior_entropy: 6.6439, recall: 0.755, relative_absolute_error: 0.7935, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0822, root_relative_squared_error: 0.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.5922, kappa: 0.6092, kb_relative_information_score: 1062.5118, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6054, predictive_accuracy: 0.6131, prior_entropy: 6.6439, recall: 0.6131, relative_absolute_error: 0.7237, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.7337, kappa: 0.7481, kb_relative_information_score: 1007.2958, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7575, predictive_accuracy: 0.7506, prior_entropy: 6.6439, recall: 0.7506, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, kappa: 0.483, kb_relative_information_score: 994.0343, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4881, prior_entropy: 6.6439, recall: 0.4881, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.8391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7359, kappa: 0.7487, kb_relative_information_score: 965.8857, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7637, predictive_accuracy: 0.7513, prior_entropy: 6.6439, recall: 0.7513, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.804, kappa: 0.8074, kb_relative_information_score: 1203.8572, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.812, predictive_accuracy: 0.8094, prior_entropy: 6.6439, recall: 0.8094, relative_absolute_error: 0.6208, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.6893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.7207, kappa: 0.7336, kb_relative_information_score: 1025.9177, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.744, predictive_accuracy: 0.7363, prior_entropy: 6.6439, recall: 0.7363, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.8214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.5997, kappa: 0.6162, kb_relative_information_score: 1086.6936, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6193, predictive_accuracy: 0.62, prior_entropy: 6.6439, recall: 0.62, relative_absolute_error: 0.6951, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.7773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.749, kappa: 0.7607, kb_relative_information_score: 1061.8072, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7673, predictive_accuracy: 0.7631, prior_entropy: 6.6439, recall: 0.7631, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.7974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.6259, kappa: 0.6326, kb_relative_information_score: 0.2568, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6381, predictive_accuracy: 0.6363, prior_entropy: 6.6439, recall: 0.6363, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.738, kappa: 0.7487, kb_relative_information_score: 1053.7498, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7657, predictive_accuracy: 0.7513, prior_entropy: 6.6439, recall: 0.7513, relative_absolute_error: 0.7661, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.8058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.6525, kappa: 0.673, kb_relative_information_score: 961.589, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6903, predictive_accuracy: 0.6763, prior_entropy: 6.6439, recall: 0.6763, relative_absolute_error: 0.826, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0853, root_relative_squared_error: 0.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.6043, kappa: 0.6225, kb_relative_information_score: 1066.1595, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.615, predictive_accuracy: 0.6263, prior_entropy: 6.6439, recall: 0.6263, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.7916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.7836, kappa: 0.7917, kb_relative_information_score: 1079.9803, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8014, predictive_accuracy: 0.7938, prior_entropy: 6.6439, recall: 0.7938, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.7832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7861, kappa: 0.7885, kb_relative_information_score: 1174.6823, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7944, predictive_accuracy: 0.7906, prior_entropy: 6.6439, recall: 0.7906, relative_absolute_error: 0.6511, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.331, kappa: -0.0101, kb_relative_information_score: 27.4779, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7433, kappa: 0.7569, kb_relative_information_score: 1052.5876, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7643, predictive_accuracy: 0.7594, prior_entropy: 6.6439, recall: 0.7594, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.8029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, kappa: 0.0814, kb_relative_information_score: 100.9491, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0906, prior_entropy: 6.6439, recall: 0.0906, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.099, root_relative_squared_error: 0.9948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.8088, kappa: 0.8043, kb_relative_information_score: 982.9027, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8176, predictive_accuracy: 0.8063, prior_entropy: 6.6439, recall: 0.8063, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8343,

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