Task
Supervised Classification on semeion

Supervised Classification on semeion

Task 9964 Supervised Classification semeion 14042 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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14042 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.7407, kappa: 0.714, kb_relative_information_score: 1164.6611, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7437, predictive_accuracy: 0.7426, prior_entropy: 3.3218, recall: 0.7426, relative_absolute_error: 0.3421, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.6585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.6938, kappa: 0.6631, kb_relative_information_score: 1097.9275, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6948, predictive_accuracy: 0.6968, prior_entropy: 3.3218, recall: 0.6968, relative_absolute_error: 0.4017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.7402, kappa: 0.714, kb_relative_information_score: 1141.9012, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7416, predictive_accuracy: 0.7426, prior_entropy: 3.3218, recall: 0.7426, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.7046, kappa: 0.6749, kb_relative_information_score: 1101.3557, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7098, predictive_accuracy: 0.7075, prior_entropy: 3.3218, recall: 0.7075, relative_absolute_error: 0.3867, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.205, root_relative_squared_error: 0.6832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9266, f_measure: 0.7006, kappa: 0.67, kb_relative_information_score: 1096.3575, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7039, predictive_accuracy: 0.7031, prior_entropy: 3.3218, recall: 0.7031, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.206, root_relative_squared_error: 0.6868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.7366, kappa: 0.7098, kb_relative_information_score: 1152.0303, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7395, predictive_accuracy: 0.7389, prior_entropy: 3.3218, recall: 0.7389, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.6621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.6944, kappa: 0.6644, kb_relative_information_score: 1088.3641, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6981, predictive_accuracy: 0.6981, prior_entropy: 3.3218, recall: 0.6981, relative_absolute_error: 0.4005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.7062, kappa: 0.6756, kb_relative_information_score: 1118.1254, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7069, predictive_accuracy: 0.7081, prior_entropy: 3.3218, recall: 0.7081, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.6806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.747, kappa: 0.721, kb_relative_information_score: 1172.3, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7499, predictive_accuracy: 0.7489, prior_entropy: 3.3218, recall: 0.7489, relative_absolute_error: 0.3357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.6611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.7488, kappa: 0.7231, kb_relative_information_score: 1192.6524, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7503, predictive_accuracy: 0.7508, prior_entropy: 3.3218, recall: 0.7508, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.6782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.7063, kappa: 0.6756, kb_relative_information_score: 1117.2304, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7072, predictive_accuracy: 0.7081, prior_entropy: 3.3218, recall: 0.7081, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2042, root_relative_squared_error: 0.6806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.6709, kappa: 0.6366, kb_relative_information_score: 1037.5454, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6751, predictive_accuracy: 0.6729, prior_entropy: 3.3218, recall: 0.6729, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2126, root_relative_squared_error: 0.7087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.7502, kappa: 0.7238, kb_relative_information_score: 1178.8913, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7541, predictive_accuracy: 0.7514, prior_entropy: 3.3218, recall: 0.7514, relative_absolute_error: 0.32, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.6657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.7046, kappa: 0.6749, kb_relative_information_score: 1102.1986, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7101, predictive_accuracy: 0.7075, prior_entropy: 3.3218, recall: 0.7075, relative_absolute_error: 0.3871, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.7193, kappa: 0.691, kb_relative_information_score: 1114.2002, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7236, predictive_accuracy: 0.7219, prior_entropy: 3.3218, recall: 0.7219, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.6719, kappa: 0.6373, kb_relative_information_score: 1043.1861, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6766, predictive_accuracy: 0.6736, prior_entropy: 3.3218, recall: 0.6736, relative_absolute_error: 0.4427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.7054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.6754, kappa: 0.6428, kb_relative_information_score: 1056.0847, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6783, predictive_accuracy: 0.6786, prior_entropy: 3.3218, recall: 0.6786, relative_absolute_error: 0.4325, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.7005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.7484, kappa: 0.7224, kb_relative_information_score: 1174.0789, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7515, predictive_accuracy: 0.7502, prior_entropy: 3.3218, recall: 0.7502, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.6589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.6824, kappa: 0.6526, kb_relative_information_score: 1068.8355, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6844, predictive_accuracy: 0.6874, prior_entropy: 3.3218, recall: 0.6874, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2087, root_relative_squared_error: 0.6957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9051, f_measure: 0.7392, kappa: 0.7126, kb_relative_information_score: 1161.7426, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.74, predictive_accuracy: 0.7414, prior_entropy: 3.3218, recall: 0.7414, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.6682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.676, kappa: 0.6435, kb_relative_information_score: 1056.2697, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6791, predictive_accuracy: 0.6792, prior_entropy: 3.3218, recall: 0.6792, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.21, root_relative_squared_error: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.7045, kappa: 0.6749, kb_relative_information_score: 1100.639, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7098, predictive_accuracy: 0.7075, prior_entropy: 3.3218, recall: 0.7075, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.6811, kappa: 0.6512, kb_relative_information_score: 1073.3297, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.683, predictive_accuracy: 0.6861, prior_entropy: 3.3218, recall: 0.6861, relative_absolute_error: 0.4142, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.6987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.6748, kappa: 0.6421, kb_relative_information_score: 1055.4235, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6777, predictive_accuracy: 0.678, prior_entropy: 3.3218, recall: 0.678, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2103, root_relative_squared_error: 0.7008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.7181, kappa: 0.6896, kb_relative_information_score: 1113.2368, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7229, predictive_accuracy: 0.7207, prior_entropy: 3.3218, recall: 0.7207, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.6787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.7488, kappa: 0.7231, kb_relative_information_score: 1185.2974, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7497, predictive_accuracy: 0.7508, prior_entropy: 3.3218, recall: 0.7508, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.7477, kappa: 0.721, kb_relative_information_score: 1190.031, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.75, predictive_accuracy: 0.7489, prior_entropy: 3.3218, recall: 0.7489, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.6711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.6955, kappa: 0.6645, kb_relative_information_score: 1097.1769, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6984, predictive_accuracy: 0.6981, prior_entropy: 3.3218, recall: 0.6981, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.6709, kappa: 0.6366, kb_relative_information_score: 1036.6351, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6751, predictive_accuracy: 0.6729, prior_entropy: 3.3218, recall: 0.6729, relative_absolute_error: 0.4512, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.7096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.7006, kappa: 0.67, kb_relative_information_score: 1096.2266, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7039, predictive_accuracy: 0.7031, prior_entropy: 3.3218, recall: 0.7031, relative_absolute_error: 0.4083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.6793, kappa: 0.6456, kb_relative_information_score: 1058.4673, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6851, predictive_accuracy: 0.6811, prior_entropy: 3.3218, recall: 0.6811, relative_absolute_error: 0.4432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.7025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.7284, kappa: 0.7014, kb_relative_information_score: 1127.094, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7316, predictive_accuracy: 0.7313, prior_entropy: 3.3218, recall: 0.7313, relative_absolute_error: 0.366, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.6756, kappa: 0.6428, kb_relative_information_score: 1055.4492, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6786, predictive_accuracy: 0.6786, prior_entropy: 3.3218, recall: 0.6786, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.7007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.7191, kappa: 0.6903, kb_relative_information_score: 1132.0783, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7204, predictive_accuracy: 0.7213, prior_entropy: 3.3218, recall: 0.7213, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.6741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.6844, kappa: 0.6547, kb_relative_information_score: 1070.4916, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6862, predictive_accuracy: 0.6893, prior_entropy: 3.3218, recall: 0.6893, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.6819, kappa: 0.6505, kb_relative_information_score: 1063.0318, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6838, predictive_accuracy: 0.6855, prior_entropy: 3.3218, recall: 0.6855, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.741, kappa: 0.714, kb_relative_information_score: 1173.0432, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7431, predictive_accuracy: 0.7426, prior_entropy: 3.3218, recall: 0.7426, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.7392, kappa: 0.7126, kb_relative_information_score: 1161.283, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7421, predictive_accuracy: 0.7414, prior_entropy: 3.3218, recall: 0.7414, relative_absolute_error: 0.3448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.7494, kappa: 0.7238, kb_relative_information_score: 1190.1488, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7508, predictive_accuracy: 0.7514, prior_entropy: 3.3218, recall: 0.7514, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.707, kappa: 0.677, kb_relative_information_score: 1110.4454, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7077, predictive_accuracy: 0.7094, prior_entropy: 3.3218, recall: 0.7094, relative_absolute_error: 0.3905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.6822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.6715, kappa: 0.6373, kb_relative_information_score: 1037.1124, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6758, predictive_accuracy: 0.6736, prior_entropy: 3.3218, recall: 0.6736, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.7084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.7039, kappa: 0.6742, kb_relative_information_score: 1100.4326, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.709, predictive_accuracy: 0.7068, prior_entropy: 3.3218, recall: 0.7068, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.6845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.6845, kappa: 0.6519, kb_relative_information_score: 1079.8416, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6897, predictive_accuracy: 0.6868, prior_entropy: 3.3218, recall: 0.6868, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.6942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.6938, kappa: 0.6631, kb_relative_information_score: 1097.4303, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6948, predictive_accuracy: 0.6968, prior_entropy: 3.3218, recall: 0.6968, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.6932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.7069, kappa: 0.6763, kb_relative_information_score: 1118.2707, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7077, predictive_accuracy: 0.7087, prior_entropy: 3.3218, recall: 0.7087, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.6802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.72, kappa: 0.6917, kb_relative_information_score: 1116.1283, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7243, predictive_accuracy: 0.7225, prior_entropy: 3.3218, recall: 0.7225, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.7302, kappa: 0.7035, kb_relative_information_score: 1129.3192, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7328, predictive_accuracy: 0.7332, prior_entropy: 3.3218, recall: 0.7332, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2016, root_relative_squared_error: 0.6719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.7397, kappa: 0.7133, kb_relative_information_score: 1164.6379, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7404, predictive_accuracy: 0.742, prior_entropy: 3.3218, recall: 0.742, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.6798, kappa: 0.6456, kb_relative_information_score: 1053.6118, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6865, predictive_accuracy: 0.6811, prior_entropy: 3.3218, recall: 0.6811, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.7038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.6932, kappa: 0.6624, kb_relative_information_score: 1097.1109, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6942, predictive_accuracy: 0.6962, prior_entropy: 3.3218, recall: 0.6962, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.7443, kappa: 0.7175, kb_relative_information_score: 1178.6358, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7458, predictive_accuracy: 0.7458, prior_entropy: 3.3218, recall: 0.7458, relative_absolute_error: 0.327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.6613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.6709, kappa: 0.6366, kb_relative_information_score: 1037.3339, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6751, predictive_accuracy: 0.6729, prior_entropy: 3.3218, recall: 0.6729, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.695, kappa: 0.6651, kb_relative_information_score: 1089.4433, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6984, predictive_accuracy: 0.6987, prior_entropy: 3.3218, recall: 0.6987, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.6888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.7414, kappa: 0.7154, kb_relative_information_score: 1175.3051, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7429, predictive_accuracy: 0.7439, prior_entropy: 3.3218, recall: 0.7439, relative_absolute_error: 0.323, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.6938, kappa: 0.6631, kb_relative_information_score: 1096.745, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6948, predictive_accuracy: 0.6968, prior_entropy: 3.3218, recall: 0.6968, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.208, root_relative_squared_error: 0.6933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.7428, kappa: 0.7161, kb_relative_information_score: 1168.6872, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7446, predictive_accuracy: 0.7445, prior_entropy: 3.3218, recall: 0.7445, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.7501, kappa: 0.7231, kb_relative_information_score: 1190.3228, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7524, predictive_accuracy: 0.7508, prior_entropy: 3.3218, recall: 0.7508, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.7368, kappa: 0.7098, kb_relative_information_score: 1139.9565, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7383, predictive_accuracy: 0.7389, prior_entropy: 3.3218, recall: 0.7389, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.6681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.6819, kappa: 0.6505, kb_relative_information_score: 1063.9327, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6838, predictive_accuracy: 0.6855, prior_entropy: 3.3218, recall: 0.6855, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.6986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.6955, kappa: 0.6645, kb_relative_information_score: 1097.3846, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6985, predictive_accuracy: 0.6981, prior_entropy: 3.3218, recall: 0.6981, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.207, root_relative_squared_error: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.7462, kappa: 0.7203, kb_relative_information_score: 1175.5341, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7495, predictive_accuracy: 0.7483, prior_entropy: 3.3218, recall: 0.7483, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.6667, kappa: 0.6317, kb_relative_information_score: 1033.7812, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6712, predictive_accuracy: 0.6685, prior_entropy: 3.3218, recall: 0.6685, relative_absolute_error: 0.4526, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.7097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.6784, kappa: 0.6442, kb_relative_information_score: 1062.8382, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6856, predictive_accuracy: 0.6798, prior_entropy: 3.3218, recall: 0.6798, relative_absolute_error: 0.4378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.21, root_relative_squared_error: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.7393, kappa: 0.7126, kb_relative_information_score: 1154.4844, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7404, predictive_accuracy: 0.7414, prior_entropy: 3.3218, recall: 0.7414, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.747, kappa: 0.7203, kb_relative_information_score: 1187.05, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7479, predictive_accuracy: 0.7483, prior_entropy: 3.3218, recall: 0.7483, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.7564, kappa: 0.7307, kb_relative_information_score: 1203.7697, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7571, predictive_accuracy: 0.7577, prior_entropy: 3.3218, recall: 0.7577, relative_absolute_error: 0.2844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.203, root_relative_squared_error: 0.6768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.6817, kappa: 0.6519, kb_relative_information_score: 1074.704, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6834, predictive_accuracy: 0.6868, prior_entropy: 3.3218, recall: 0.6868, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.6719, kappa: 0.6373, kb_relative_information_score: 1043.284, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6766, predictive_accuracy: 0.6736, prior_entropy: 3.3218, recall: 0.6736, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.7052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.685, kappa: 0.6554, kb_relative_information_score: 1069.9574, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6871, predictive_accuracy: 0.6899, prior_entropy: 3.3218, recall: 0.6899, relative_absolute_error: 0.4174, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.6784, kappa: 0.6442, kb_relative_information_score: 1062.6533, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6856, predictive_accuracy: 0.6798, prior_entropy: 3.3218, recall: 0.6798, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.6784, kappa: 0.6442, kb_relative_information_score: 1062.8719, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6856, predictive_accuracy: 0.6798, prior_entropy: 3.3218, recall: 0.6798, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.6993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.6793, kappa: 0.6456, kb_relative_information_score: 1058.6556, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6851, predictive_accuracy: 0.6811, prior_entropy: 3.3218, recall: 0.6811, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.7453, kappa: 0.7189, kb_relative_information_score: 1166.9841, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7473, predictive_accuracy: 0.747, prior_entropy: 3.3218, recall: 0.747, relative_absolute_error: 0.339, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.685, kappa: 0.6554, kb_relative_information_score: 1071.3124, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6869, predictive_accuracy: 0.6899, prior_entropy: 3.3218, recall: 0.6899, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.6937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.744, kappa: 0.7175, kb_relative_information_score: 1182.3554, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7466, predictive_accuracy: 0.7458, prior_entropy: 3.3218, recall: 0.7458, relative_absolute_error: 0.3131, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.202, root_relative_squared_error: 0.6734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.7409, kappa: 0.7133, kb_relative_information_score: 1185.591, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7424, predictive_accuracy: 0.742, prior_entropy: 3.3218, recall: 0.742, relative_absolute_error: 0.3165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.6663,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.7212, kappa: 0.6931, kb_relative_information_score: 1116.3696, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7256, predictive_accuracy: 0.7238, prior_entropy: 3.3218, recall: 0.7238, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.7335, kappa: 0.707, kb_relative_information_score: 1132.3456, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7362, predictive_accuracy: 0.7363, prior_entropy: 3.3218, recall: 0.7363, relative_absolute_error: 0.3618, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.6845, kappa: 0.6519, kb_relative_information_score: 1080.0297, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6897, predictive_accuracy: 0.6868, prior_entropy: 3.3218, recall: 0.6868, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.6943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.6673, kappa: 0.6324, kb_relative_information_score: 1033.8097, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6719, predictive_accuracy: 0.6692, prior_entropy: 3.3218, recall: 0.6692, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2128, root_relative_squared_error: 0.7095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.6784, kappa: 0.6442, kb_relative_information_score: 1062.5954, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6856, predictive_accuracy: 0.6798, prior_entropy: 3.3218, recall: 0.6798, relative_absolute_error: 0.4378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.6997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.7006, kappa: 0.67, kb_relative_information_score: 1095.5438, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7039, predictive_accuracy: 0.7031, prior_entropy: 3.3218, recall: 0.7031, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2061, root_relative_squared_error: 0.6871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.7413, kappa: 0.7147, kb_relative_information_score: 1164.7702, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7444, predictive_accuracy: 0.7433, prior_entropy: 3.3218, recall: 0.7433, relative_absolute_error: 0.3427, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.6578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.7303, kappa: 0.7035, kb_relative_information_score: 1129.4813, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7329, predictive_accuracy: 0.7332, prior_entropy: 3.3218, recall: 0.7332, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.6725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.6955, kappa: 0.6645, kb_relative_information_score: 1096.5858, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6984, predictive_accuracy: 0.6981, prior_entropy: 3.3218, recall: 0.6981, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.6896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.7385, kappa: 0.7119, kb_relative_information_score: 1161.6547, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7395, predictive_accuracy: 0.7407, prior_entropy: 3.3218, recall: 0.7407, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.6689,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.7439, kappa: 0.7175, kb_relative_information_score: 1176.5913, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7455, predictive_accuracy: 0.7458, prior_entropy: 3.3218, recall: 0.7458, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.6552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.7344, kappa: 0.7077, kb_relative_information_score: 1153.6958, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.735, predictive_accuracy: 0.737, prior_entropy: 3.3218, recall: 0.737, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.6679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.7428, kappa: 0.7161, kb_relative_information_score: 1172.7382, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7449, predictive_accuracy: 0.7445, prior_entropy: 3.3218, recall: 0.7445, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.7076, kappa: 0.6777, kb_relative_information_score: 1111.7904, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7081, predictive_accuracy: 0.71, prior_entropy: 3.3218, recall: 0.71, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.749, kappa: 0.7231, kb_relative_information_score: 1188.6629, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7502, predictive_accuracy: 0.7508, prior_entropy: 3.3218, recall: 0.7508, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.6671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.6725, kappa: 0.638, kb_relative_information_score: 1043.8311, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6774, predictive_accuracy: 0.6742, prior_entropy: 3.3218, recall: 0.6742, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.6793, kappa: 0.6456, kb_relative_information_score: 1058.6426, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6851, predictive_accuracy: 0.6811, prior_entropy: 3.3218, recall: 0.6811, relative_absolute_error: 0.4431, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.7023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9204, f_measure: 0.6719, kappa: 0.6373, kb_relative_information_score: 1043.5551, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6766, predictive_accuracy: 0.6736, prior_entropy: 3.3218, recall: 0.6736, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.7363, kappa: 0.7098, kb_relative_information_score: 1143.9556, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7388, predictive_accuracy: 0.7389, prior_entropy: 3.3218, recall: 0.7389, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.6684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.7477, kappa: 0.7217, kb_relative_information_score: 1192.0006, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7493, predictive_accuracy: 0.7495, prior_entropy: 3.3218, recall: 0.7495, relative_absolute_error: 0.3016, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.682, kappa: 0.6505, kb_relative_information_score: 1063.9377, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.684, predictive_accuracy: 0.6855, prior_entropy: 3.3218, recall: 0.6855, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.6989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.7064, kappa: 0.6763, kb_relative_information_score: 1111.0002, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.707, predictive_accuracy: 0.7087, prior_entropy: 3.3218, recall: 0.7087, relative_absolute_error: 0.3893, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.6822,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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

OpenML APIs