Task
Supervised Classification on semeion

Supervised Classification on semeion

Task 9964 Supervised Classification semeion 20292 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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20292 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9487, kappa: 0.9428, kb_relative_information_score: 471.973, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9496, predictive_accuracy: 0.9485, prior_entropy: 3.3218, recall: 0.9485, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9225, kappa: 0.9142, kb_relative_information_score: 1464.0432, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9263, predictive_accuracy: 0.9228, prior_entropy: 3.3218, recall: 0.9228, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9345, kappa: 0.9268, kb_relative_information_score: 1483.122, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9359, predictive_accuracy: 0.9341, prior_entropy: 3.3218, recall: 0.9341, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.0688, kappa: 0.0754, kb_relative_information_score: 4.7002, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.045, predictive_accuracy: 0.1676, prior_entropy: 3.3218, recall: 0.1676, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7217, kappa: 0.6958, kb_relative_information_score: 1136.3433, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7264, predictive_accuracy: 0.7263, prior_entropy: 3.3218, recall: 0.7263, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.234, root_relative_squared_error: 0.7799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.0211, kappa: 0.0014, kb_relative_information_score: 96.8898, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.1119, predictive_accuracy: 0.1023, prior_entropy: 3.3218, recall: 0.1023, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4237, root_relative_squared_error: 1.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.8187, kappa: 0.7998, kb_relative_information_score: 1277.6432, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8199, predictive_accuracy: 0.8198, prior_entropy: 3.3218, recall: 0.8198, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.5912, kappa: 0.5521, kb_relative_information_score: 678.7523, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.5995, predictive_accuracy: 0.597, prior_entropy: 3.3218, recall: 0.597, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2445, root_relative_squared_error: 0.8151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.1239, kappa: 0.1036, kb_relative_information_score: 305.2426, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.1088, predictive_accuracy: 0.194, prior_entropy: 3.3218, recall: 0.194, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8929, f_measure: 0.7472, kappa: 0.7217, kb_relative_information_score: 1131.5951, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7476, predictive_accuracy: 0.7495, prior_entropy: 3.3218, recall: 0.7495, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.6914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.6993, kappa: 0.6687, kb_relative_information_score: 975.211, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7007, predictive_accuracy: 0.7018, prior_entropy: 3.3218, recall: 0.7018, relative_absolute_error: 0.5517, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2121, root_relative_squared_error: 0.7069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.7974, kappa: 0.7775, kb_relative_information_score: 1169.2385, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8007, predictive_accuracy: 0.7997, prior_entropy: 3.3218, recall: 0.7997, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.5775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8374, kappa: 0.8193, kb_relative_information_score: 1240.8885, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8394, predictive_accuracy: 0.8374, prior_entropy: 3.3218, recall: 0.8374, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.5365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.8855, kappa: 0.873, kb_relative_information_score: 1247.85, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8863, predictive_accuracy: 0.8858, prior_entropy: 3.3218, recall: 0.8858, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.152, root_relative_squared_error: 0.5065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.2521, kappa: 0.192, kb_relative_information_score: 6.0454, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.4906, predictive_accuracy: 0.2724, prior_entropy: 3.3218, recall: 0.2724, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.0679, kappa: 0.1083, kb_relative_information_score: 307.4454, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0413, predictive_accuracy: 0.1977, prior_entropy: 3.3218, recall: 0.1977, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.9682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8227, kappa: 0.7984, kb_relative_information_score: 1307.0941, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8374, predictive_accuracy: 0.8186, prior_entropy: 3.3218, recall: 0.8186, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.5754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.8313, kappa: 0.8053, kb_relative_information_score: 1306.8799, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8624, predictive_accuracy: 0.8249, prior_entropy: 3.3218, recall: 0.8249, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.5061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.7144, kappa: 0.6847, kb_relative_information_score: 1073.1048, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7149, predictive_accuracy: 0.7163, prior_entropy: 3.3218, recall: 0.7163, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.7055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8778, kappa: 0.8647, kb_relative_information_score: 1206.2442, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8803, predictive_accuracy: 0.8782, prior_entropy: 3.3218, recall: 0.8782, relative_absolute_error: 0.4052, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.5426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8674, kappa: 0.8507, kb_relative_information_score: 1374.8341, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.872, predictive_accuracy: 0.8657, prior_entropy: 3.3218, recall: 0.8657, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.5129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9531, kappa: 0.9477, kb_relative_information_score: 472.7248, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9536, predictive_accuracy: 0.9529, prior_entropy: 3.3218, recall: 0.9529, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8501, kappa: 0.8333, kb_relative_information_score: 1348.4775, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8509, predictive_accuracy: 0.85, prior_entropy: 3.3218, recall: 0.85, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.5617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9219, kappa: 0.9135, kb_relative_information_score: 1462.5683, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9253, predictive_accuracy: 0.9222, prior_entropy: 3.3218, recall: 0.9222, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1226, root_relative_squared_error: 0.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9435, kappa: 0.9372, kb_relative_information_score: 1184.444, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9444, predictive_accuracy: 0.9435, prior_entropy: 3.3218, recall: 0.9435, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.157, root_relative_squared_error: 0.5233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.7506, kappa: 0.7231, kb_relative_information_score: 1166.3164, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7521, predictive_accuracy: 0.7508, prior_entropy: 3.3218, recall: 0.7508, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.7029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9384, kappa: 0.9316, kb_relative_information_score: 1091.5634, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.939, predictive_accuracy: 0.9385, prior_entropy: 3.3218, recall: 0.9385, relative_absolute_error: 0.5279, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.5897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9187, kappa: 0.91, kb_relative_information_score: 1458.2345, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9233, predictive_accuracy: 0.919, prior_entropy: 3.3218, recall: 0.919, relative_absolute_error: 0.0952, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9147, kappa: 0.9051, kb_relative_information_score: 1453.1352, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9151, predictive_accuracy: 0.9146, prior_entropy: 3.3218, recall: 0.9146, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.4262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.7511, kappa: 0.7238, kb_relative_information_score: 1168.5755, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7521, predictive_accuracy: 0.7514, prior_entropy: 3.3218, recall: 0.7514, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.6797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8888, kappa: 0.8765, kb_relative_information_score: 1417.2259, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8893, predictive_accuracy: 0.8889, prior_entropy: 3.3218, recall: 0.8889, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.1027, kappa: 0.1032, kb_relative_information_score: 248.8721, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0731, predictive_accuracy: 0.194, prior_entropy: 3.3218, recall: 0.194, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4015, root_relative_squared_error: 1.3384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.6516, kappa: 0.615, kb_relative_information_score: 1015.2065, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6513, predictive_accuracy: 0.6535, prior_entropy: 3.3218, recall: 0.6535, relative_absolute_error: 0.385, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.8775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.7513, kappa: 0.7245, kb_relative_information_score: 1150.7448, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7524, predictive_accuracy: 0.752, prior_entropy: 3.3218, recall: 0.752, relative_absolute_error: 0.3458, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.6693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9193, kappa: 0.9107, kb_relative_information_score: 1458.5062, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9238, predictive_accuracy: 0.9196, prior_entropy: 3.3218, recall: 0.9196, relative_absolute_error: 0.1158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.7355, kappa: 0.707, kb_relative_information_score: 1127.7867, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7368, predictive_accuracy: 0.7363, prior_entropy: 3.3218, recall: 0.7363, relative_absolute_error: 0.3701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.6676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9005, kappa: 0.8891, kb_relative_information_score: 462.0837, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9019, predictive_accuracy: 0.9002, prior_entropy: 3.3218, recall: 0.9002, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2732, root_relative_squared_error: 0.9105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.7062, kappa: 0.677, kb_relative_information_score: 1086.3996, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7087, predictive_accuracy: 0.7094, prior_entropy: 3.3218, recall: 0.7094, relative_absolute_error: 0.4158, 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: 0.9106, f_measure: 0.6802, kappa: 0.6526, kb_relative_information_score: 1049.2324, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6797, predictive_accuracy: 0.6874, prior_entropy: 3.3218, recall: 0.6874, relative_absolute_error: 0.4479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.7046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.6734, kappa: 0.64, kb_relative_information_score: 1018.9927, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6803, predictive_accuracy: 0.6761, prior_entropy: 3.3218, recall: 0.6761, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.7177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.609, kappa: 0.5905, kb_relative_information_score: 533.882, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6842, predictive_accuracy: 0.6315, prior_entropy: 3.3218, recall: 0.6315, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2665, root_relative_squared_error: 0.8883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.6403, kappa: 0.601, kb_relative_information_score: 965.6395, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6486, predictive_accuracy: 0.6409, prior_entropy: 3.3218, recall: 0.6409, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.6061, kappa: 0.5675, kb_relative_information_score: 892.9461, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6169, predictive_accuracy: 0.6108, prior_entropy: 3.3218, recall: 0.6108, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.1411, kappa: 0.1912, kb_relative_information_score: 335.672, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.1072, predictive_accuracy: 0.2724, prior_entropy: 3.3218, recall: 0.2724, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.5837, kappa: 0.5807, kb_relative_information_score: 510.7493, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7127, predictive_accuracy: 0.6227, prior_entropy: 3.3218, recall: 0.6227, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.9018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.9345, kappa: 0.9268, kb_relative_information_score: 1483.122, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9359, predictive_accuracy: 0.9341, prior_entropy: 3.3218, recall: 0.9341, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.795, kappa: 0.7726, kb_relative_information_score: 1245.0349, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.796, predictive_accuracy: 0.7954, prior_entropy: 3.3218, recall: 0.7954, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.193, root_relative_squared_error: 0.6433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.5819, kappa: 0.5424, kb_relative_information_score: 848.5704, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.5868, predictive_accuracy: 0.5882, prior_entropy: 3.3218, recall: 0.5882, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.238, root_relative_squared_error: 0.7935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.5219, kappa: 0.5048, kb_relative_information_score: 748.7097, mean_absolute_error: 0.1245, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.54, predictive_accuracy: 0.5543, prior_entropy: 3.3218, recall: 0.5543, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.8362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.4629, kappa: 0.444, kb_relative_information_score: 706.1225, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.4406, predictive_accuracy: 0.4997, prior_entropy: 3.3218, recall: 0.4997, relative_absolute_error: 0.7281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.3361, kappa: 0.3756, kb_relative_information_score: 630.3899, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.277, predictive_accuracy: 0.4382, prior_entropy: 3.3218, recall: 0.4382, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.8855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.2609, kappa: 0.2887, kb_relative_information_score: 543.4026, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.2426, predictive_accuracy: 0.3597, prior_entropy: 3.3218, recall: 0.3597, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9364, kappa: 0.9295, kb_relative_information_score: 1156.8523, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9368, predictive_accuracy: 0.9366, prior_entropy: 3.3218, recall: 0.9366, relative_absolute_error: 0.4711, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9422, kappa: 0.9358, kb_relative_information_score: 1188.5421, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9431, predictive_accuracy: 0.9422, prior_entropy: 3.3218, recall: 0.9422, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8372, f_measure: 0.7066, kappa: 0.6743, kb_relative_information_score: 1103.9493, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7079, predictive_accuracy: 0.7068, prior_entropy: 3.3218, recall: 0.7068, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9422, kappa: 0.9358, kb_relative_information_score: 1208.2619, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9427, predictive_accuracy: 0.9422, prior_entropy: 3.3218, recall: 0.9422, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.5086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9411, kappa: 0.9344, kb_relative_information_score: 1236.7087, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9418, predictive_accuracy: 0.941, prior_entropy: 3.3218, recall: 0.941, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8473, kappa: 0.8312, kb_relative_information_score: 1280.0758, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8476, predictive_accuracy: 0.8481, prior_entropy: 3.3218, recall: 0.8481, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.0316, kappa: -0.0013, kb_relative_information_score: 0.5079, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0204, predictive_accuracy: 0.1004, prior_entropy: 3.3218, recall: 0.1004, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9404, kappa: 0.9337, kb_relative_information_score: 1248.3543, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9409, predictive_accuracy: 0.9404, prior_entropy: 3.3218, recall: 0.9404, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.144, root_relative_squared_error: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.938, kappa: 0.9309, kb_relative_information_score: 1265.9221, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9388, predictive_accuracy: 0.9379, prior_entropy: 3.3218, recall: 0.9379, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.4672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.8988, kappa: 0.8877, kb_relative_information_score: 1249.0963, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8997, predictive_accuracy: 0.8989, prior_entropy: 3.3218, recall: 0.8989, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.5097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8335, kappa: 0.8158, kb_relative_information_score: 1164.973, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8358, predictive_accuracy: 0.8343, prior_entropy: 3.3218, recall: 0.8343, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.5611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8299, kappa: 0.811, kb_relative_information_score: 1237.9139, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.831, predictive_accuracy: 0.8299, prior_entropy: 3.3218, recall: 0.8299, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.5376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8299, kappa: 0.811, kb_relative_information_score: 1237.9139, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.831, predictive_accuracy: 0.8299, prior_entropy: 3.3218, recall: 0.8299, relative_absolute_error: 0.3414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.5376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9103, kappa: 0.9003, kb_relative_information_score: 1447.5705, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9107, predictive_accuracy: 0.9102, prior_entropy: 3.3218, recall: 0.9102, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9341, kappa: 0.9268, kb_relative_information_score: 1274.3831, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9352, predictive_accuracy: 0.9341, prior_entropy: 3.3218, recall: 0.9341, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.4638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9323, kappa: 0.9247, kb_relative_information_score: 1279.4591, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9336, predictive_accuracy: 0.9322, prior_entropy: 3.3218, recall: 0.9322, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9215, kappa: 0.9128, kb_relative_information_score: 1281.5995, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9223, predictive_accuracy: 0.9215, prior_entropy: 3.3218, recall: 0.9215, relative_absolute_error: 0.3349, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9204, kappa: 0.9114, kb_relative_information_score: 1204.9326, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9214, predictive_accuracy: 0.9203, prior_entropy: 3.3218, recall: 0.9203, relative_absolute_error: 0.4176, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.156, root_relative_squared_error: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9171, kappa: 0.9079, kb_relative_information_score: 1284.1269, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9182, predictive_accuracy: 0.9171, prior_entropy: 3.3218, recall: 0.9171, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.4642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9298, kappa: 0.9219, kb_relative_information_score: 1477.5523, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9306, predictive_accuracy: 0.9297, prior_entropy: 3.3218, recall: 0.9297, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.3527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9064, kappa: 0.8961, kb_relative_information_score: 1281.5479, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9078, predictive_accuracy: 0.9065, prior_entropy: 3.3218, recall: 0.9065, relative_absolute_error: 0.3241, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8836, kappa: 0.871, kb_relative_information_score: 1274.5994, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8849, predictive_accuracy: 0.8839, prior_entropy: 3.3218, recall: 0.8839, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8632, kappa: 0.8486, kb_relative_information_score: 1266.6667, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8648, predictive_accuracy: 0.8638, prior_entropy: 3.3218, recall: 0.8638, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.4963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.749, kappa: 0.7217, kb_relative_information_score: 1176.6462, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7501, predictive_accuracy: 0.7495, prior_entropy: 3.3218, recall: 0.7495, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.7004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9103, kappa: 0.9003, kb_relative_information_score: 1447.5705, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9107, predictive_accuracy: 0.9102, prior_entropy: 3.3218, recall: 0.9102, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, f_measure: 0.748, kappa: 0.7238, kb_relative_information_score: 1154.7708, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7493, predictive_accuracy: 0.7514, prior_entropy: 3.3218, recall: 0.7514, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.7082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.7508, kappa: 0.7252, kb_relative_information_score: 1162.596, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7514, predictive_accuracy: 0.7527, prior_entropy: 3.3218, recall: 0.7527, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.6629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.7931, kappa: 0.7712, kb_relative_information_score: 1250.7603, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7947, predictive_accuracy: 0.7941, prior_entropy: 3.3218, recall: 0.7941, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.8832, kappa: 0.8703, kb_relative_information_score: 1404.9367, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8843, predictive_accuracy: 0.8832, prior_entropy: 3.3218, recall: 0.8832, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.8713, kappa: 0.857, kb_relative_information_score: 1358.6589, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8718, predictive_accuracy: 0.8713, prior_entropy: 3.3218, recall: 0.8713, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.924, kappa: 0.9156, kb_relative_information_score: 1454.8952, mean_absolute_error: 0.024, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9245, predictive_accuracy: 0.924, prior_entropy: 3.3218, recall: 0.924, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1066, root_relative_squared_error: 0.3554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8349, kappa: 0.8165, kb_relative_information_score: 1323.3941, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8359, predictive_accuracy: 0.8349, prior_entropy: 3.3218, recall: 0.8349, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.5525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8706, kappa: 0.8563, kb_relative_information_score: 1384.0029, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8708, predictive_accuracy: 0.8707, prior_entropy: 3.3218, recall: 0.8707, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.4706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.8558, kappa: 0.8396, kb_relative_information_score: 1356.3595, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8568, predictive_accuracy: 0.8556, prior_entropy: 3.3218, recall: 0.8556, relative_absolute_error: 0.1764, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.5247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9103, kappa: 0.9003, kb_relative_information_score: 1440.0892, mean_absolute_error: 0.0234, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9114, predictive_accuracy: 0.9102, prior_entropy: 3.3218, recall: 0.9102, relative_absolute_error: 0.1297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.3992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8419, kappa: 0.8249, kb_relative_information_score: 1338.0446, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8431, predictive_accuracy: 0.8424, prior_entropy: 3.3218, recall: 0.8424, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8264, kappa: 0.8019, kb_relative_information_score: 1295.7801, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8507, predictive_accuracy: 0.8217, prior_entropy: 3.3218, recall: 0.8217, relative_absolute_error: 0.1981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.6294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9024, kappa: 0.8919, kb_relative_information_score: 1299.6515, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9027, predictive_accuracy: 0.9027, prior_entropy: 3.3218, recall: 0.9027, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.4644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.0679, kappa: 0.1083, kb_relative_information_score: 308.5243, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0413, predictive_accuracy: 0.1977, prior_entropy: 3.3218, recall: 0.1977, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.0417, kappa: -0.0013, kb_relative_information_score: 17.1767, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.0295, predictive_accuracy: 0.0992, prior_entropy: 3.3218, recall: 0.0992, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9298, kappa: 0.9219, kb_relative_information_score: 1477.5523, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9306, predictive_accuracy: 0.9297, prior_entropy: 3.3218, recall: 0.9297, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.3527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8264, kappa: 0.8019, kb_relative_information_score: 1295.8905, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8507, predictive_accuracy: 0.8217, prior_entropy: 3.3218, recall: 0.8217, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.6256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7453, kappa: 0.7203, kb_relative_information_score: 1172.9412, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7449, predictive_accuracy: 0.7483, prior_entropy: 3.3218, recall: 0.7483, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.7479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.8952, kappa: 0.8835, kb_relative_information_score: 1234.3494, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8988, predictive_accuracy: 0.8952, prior_entropy: 3.3218, recall: 0.8952, relative_absolute_error: 0.3797, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.5208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.938, kappa: 0.9309, kb_relative_information_score: 1446.9518, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9386, predictive_accuracy: 0.9379, prior_entropy: 3.3218, recall: 0.9379, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.8969, kappa: 0.8856, kb_relative_information_score: 1365.4281, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8975, predictive_accuracy: 0.8971, prior_entropy: 3.3218, recall: 0.8971, relative_absolute_error: 0.2266, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.4112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.754, kappa: 0.728, kb_relative_information_score: 1159.7725, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7546, predictive_accuracy: 0.7552, prior_entropy: 3.3218, recall: 0.7552, relative_absolute_error: 0.3285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.6537, kappa: 0.617, kb_relative_information_score: 1014.8576, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6566, predictive_accuracy: 0.6554, prior_entropy: 3.3218, recall: 0.6554, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.7312,

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