Task
Supervised Classification on cnae-9

Supervised Classification on cnae-9

Task 9981 Supervised Classification cnae-9 18709 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_7 study_98 study_99
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18709 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.93, kappa: 0.9208, kb_relative_information_score: 0.9127, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9296, number_of_instances: 1080, precision: 0.9308, predictive_accuracy: 0.9296, prior_entropy: 3.1699, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.3507, unweighted_recall: 0.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.93, kappa: 0.9208, kb_relative_information_score: 0.9127, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9296, number_of_instances: 1080, precision: 0.9308, predictive_accuracy: 0.9296, prior_entropy: 3.1699, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.3507, unweighted_recall: 0.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.93, kappa: 0.9208, kb_relative_information_score: 0.9127, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9296, number_of_instances: 1080, precision: 0.9308, predictive_accuracy: 0.9296, prior_entropy: 3.1699, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.3507, unweighted_recall: 0.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.93, kappa: 0.9208, kb_relative_information_score: 0.9127, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9296, number_of_instances: 1080, precision: 0.9308, predictive_accuracy: 0.9296, prior_entropy: 3.1699, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.3507, unweighted_recall: 0.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9288, kappa: 0.9198, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9287, number_of_instances: 1080, precision: 0.9292, predictive_accuracy: 0.9287, prior_entropy: 3.1699, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.3523, unweighted_recall: 0.9287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9288, kappa: 0.9198, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9287, number_of_instances: 1080, precision: 0.9292, predictive_accuracy: 0.9287, prior_entropy: 3.1699, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.3523, unweighted_recall: 0.9287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9275, kappa: 0.9177, kb_relative_information_score: 0.9083, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9269, number_of_instances: 1080, precision: 0.9289, predictive_accuracy: 0.9269, prior_entropy: 3.1699, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3513, unweighted_recall: 0.9269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.923, kappa: 0.9125, kb_relative_information_score: 0.8839, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9222, number_of_instances: 1080, precision: 0.9253, predictive_accuracy: 0.9222, prior_entropy: 3.1699, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.114, root_relative_squared_error: 0.3626, unweighted_recall: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.5495, kappa: 0.4865, kb_relative_information_score: 0.156, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.1975, weighted_recall: 0.5435, number_of_instances: 1080, precision: 0.6919, predictive_accuracy: 0.5435, prior_entropy: 3.1699, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9389, unweighted_recall: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, kappa: 0.1063, kb_relative_information_score: 0.1333, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1975, weighted_recall: 0.2056, number_of_instances: 1080, predictive_accuracy: 0.2056, prior_entropy: 3.1699, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.9471, unweighted_recall: 0.2056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.3382, kappa: 0.3, kb_relative_information_score: 0.1862, mean_absolute_error: 0.1737, mean_prior_absolute_error: 0.1975, weighted_recall: 0.3778, number_of_instances: 1080, precision: 0.4306, predictive_accuracy: 0.3778, prior_entropy: 3.1699, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.9286, unweighted_recall: 0.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, kappa: 0.1063, kb_relative_information_score: 0.1333, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1975, weighted_recall: 0.2056, number_of_instances: 1080, predictive_accuracy: 0.2056, prior_entropy: 3.1699, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.9471, unweighted_recall: 0.2056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.591, kappa: 0.1063, kb_relative_information_score: 0.1333, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.1975, weighted_recall: 0.2056, number_of_instances: 1080, predictive_accuracy: 0.2056, prior_entropy: 3.1699, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2976, root_relative_squared_error: 0.9471, unweighted_recall: 0.2056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.93, kappa: 0.9208, kb_relative_information_score: 0.9127, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9296, number_of_instances: 1080, precision: 0.9308, predictive_accuracy: 0.9296, prior_entropy: 3.1699, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.3507, unweighted_recall: 0.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.93, kappa: 0.9208, kb_relative_information_score: 0.9127, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9296, number_of_instances: 1080, precision: 0.9308, predictive_accuracy: 0.9296, prior_entropy: 3.1699, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.3507, unweighted_recall: 0.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.93, kappa: 0.9208, kb_relative_information_score: 0.9127, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9296, number_of_instances: 1080, precision: 0.9308, predictive_accuracy: 0.9296, prior_entropy: 3.1699, relative_absolute_error: 0.1174, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.3507, unweighted_recall: 0.9296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9279, kappa: 0.9188, kb_relative_information_score: 0.913, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9278, number_of_instances: 1080, precision: 0.9283, predictive_accuracy: 0.9278, prior_entropy: 3.1699, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.3522, unweighted_recall: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9279, kappa: 0.9188, kb_relative_information_score: 0.913, mean_absolute_error: 0.023, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9278, number_of_instances: 1080, precision: 0.9283, predictive_accuracy: 0.9278, prior_entropy: 3.1699, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.3522, unweighted_recall: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9275, kappa: 0.9177, kb_relative_information_score: 0.9083, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1975, weighted_recall: 0.9269, number_of_instances: 1080, precision: 0.9289, predictive_accuracy: 0.9269, prior_entropy: 3.1699, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3513, unweighted_recall: 0.9269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.5745, kappa: 0.4521, kb_relative_information_score: 0.3498, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.1975, weighted_recall: 0.513, number_of_instances: 1080, precision: 0.8508, predictive_accuracy: 0.513, prior_entropy: 3.1699, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.823, unweighted_recall: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.6774, kappa: 0.5833, kb_relative_information_score: 0.5123, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8512, predictive_accuracy: 0.6296, prior_entropy: 3.1699, recall: 0.6296, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.7232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.7321, kappa: 0.6552, kb_relative_information_score: 0.5733, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8551, predictive_accuracy: 0.6935, prior_entropy: 3.1699, recall: 0.6935, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2139, root_relative_squared_error: 0.6806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4661, kappa: -0.0052, kb_relative_information_score: 0.0143, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, predictive_accuracy: 0.1065, prior_entropy: 3.1699, recall: 0.1065, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9016, kappa: 0.8885, kb_relative_information_score: 0.8621, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9042, predictive_accuracy: 0.9009, prior_entropy: 3.1699, recall: 0.9009, relative_absolute_error: 0.206, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5275, f_measure: 0.1193, kappa: 0.0365, kb_relative_information_score: 0.0166, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.5932, predictive_accuracy: 0.1435, prior_entropy: 3.1699, recall: 0.1435, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.8777, kappa: 0.8563, kb_relative_information_score: 0.8086, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8902, predictive_accuracy: 0.8722, prior_entropy: 3.1699, recall: 0.8722, relative_absolute_error: 0.2609, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.148, root_relative_squared_error: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.919, kappa: 0.9083, kb_relative_information_score: 0.8731, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9208, predictive_accuracy: 0.9185, prior_entropy: 3.1699, recall: 0.9185, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.3806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9294, kappa: 0.9198, kb_relative_information_score: 0.8767, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9314, predictive_accuracy: 0.9287, prior_entropy: 3.1699, recall: 0.9287, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.3727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.414, kappa: 0.3302, kb_relative_information_score: 0.1135, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.6022, predictive_accuracy: 0.4046, prior_entropy: 3.1699, recall: 0.4046, relative_absolute_error: 0.954, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.556, kappa: 0.4302, kb_relative_information_score: 0.3262, mean_absolute_error: 0.1467, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8521, predictive_accuracy: 0.4935, prior_entropy: 3.1699, recall: 0.4935, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9016, kappa: 0.8885, kb_relative_information_score: 0.8621, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9042, predictive_accuracy: 0.9009, prior_entropy: 3.1699, recall: 0.9009, relative_absolute_error: 0.206, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.5253, kappa: 0.3948, kb_relative_information_score: 0.2875, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8542, predictive_accuracy: 0.462, prior_entropy: 3.1699, recall: 0.462, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, f_measure: 0.1193, kappa: 0.0365, kb_relative_information_score: 0.0166, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.5932, predictive_accuracy: 0.1435, prior_entropy: 3.1699, recall: 0.1435, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.6976, kappa: 0.6115, kb_relative_information_score: 0.536, mean_absolute_error: 0.1074, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8534, predictive_accuracy: 0.6546, prior_entropy: 3.1699, recall: 0.6546, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.7045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.2267, kappa: 0.124, kb_relative_information_score: 0.0386, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.6654, predictive_accuracy: 0.2213, prior_entropy: 3.1699, recall: 0.2213, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9253, kappa: 0.9156, kb_relative_information_score: 0.886, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9268, predictive_accuracy: 0.925, prior_entropy: 3.1699, recall: 0.925, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.83, kappa: 0.8073, kb_relative_information_score: 0.5106, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8489, predictive_accuracy: 0.8287, prior_entropy: 3.1699, recall: 0.8287, relative_absolute_error: 0.6714, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.7637, kappa: 0.7031, kb_relative_information_score: 0.6006, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8469, predictive_accuracy: 0.7361, prior_entropy: 3.1699, recall: 0.7361, relative_absolute_error: 0.4788, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.207, root_relative_squared_error: 0.6586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.7753, kappa: 0.7302, kb_relative_information_score: 0.6278, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8224, predictive_accuracy: 0.7602, prior_entropy: 3.1699, recall: 0.7602, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.4321, kappa: 0.3156, kb_relative_information_score: 0.133, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7006, predictive_accuracy: 0.3917, prior_entropy: 3.1699, recall: 0.3917, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.9493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9568, kappa: 0.951, kb_relative_information_score: 0.9111, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9576, predictive_accuracy: 0.9565, prior_entropy: 3.1699, recall: 0.9565, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0975, root_relative_squared_error: 0.3101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.74, kappa: 0.6667, kb_relative_information_score: 0.5818, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.854, predictive_accuracy: 0.7037, prior_entropy: 3.1699, recall: 0.7037, relative_absolute_error: 0.4975, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.6743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9085, kappa: 0.8958, kb_relative_information_score: 0.8684, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9121, predictive_accuracy: 0.9074, prior_entropy: 3.1699, recall: 0.9074, relative_absolute_error: 0.1955, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.1193, kappa: 0.0365, kb_relative_information_score: 0.0166, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.5932, predictive_accuracy: 0.1435, prior_entropy: 3.1699, recall: 0.1435, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.1307, kappa: 0.0427, kb_relative_information_score: 0.0174, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.5939, predictive_accuracy: 0.1491, prior_entropy: 3.1699, recall: 0.1491, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.8775, kappa: 0.8604, kb_relative_information_score: 0.8203, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8834, predictive_accuracy: 0.8759, prior_entropy: 3.1699, recall: 0.8759, relative_absolute_error: 0.2638, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.4608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9016, kappa: 0.8885, kb_relative_information_score: 0.8621, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9042, predictive_accuracy: 0.9009, prior_entropy: 3.1699, recall: 0.9009, relative_absolute_error: 0.206, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.7371, kappa: 0.6625, kb_relative_information_score: 0.58, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8535, predictive_accuracy: 0.7, prior_entropy: 3.1699, recall: 0.7, relative_absolute_error: 0.4993, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.4601, kappa: 0.326, kb_relative_information_score: 0.1916, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8589, predictive_accuracy: 0.4009, prior_entropy: 3.1699, recall: 0.4009, relative_absolute_error: 0.8667, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2861, root_relative_squared_error: 0.9102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7565, f_measure: 0.436, kappa: 0.3031, kb_relative_information_score: 0.1558, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8588, predictive_accuracy: 0.3806, prior_entropy: 3.1699, recall: 0.3806, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.9287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.8614, kappa: 0.8344, kb_relative_information_score: 0.7816, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8822, predictive_accuracy: 0.8528, prior_entropy: 3.1699, recall: 0.8528, relative_absolute_error: 0.2915, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.4917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, f_measure: 0.1157, kappa: 0.0344, kb_relative_information_score: 0.0165, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.5931, predictive_accuracy: 0.1417, prior_entropy: 3.1699, recall: 0.1417, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.8834, kappa: 0.8646, kb_relative_information_score: 0.8277, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8921, predictive_accuracy: 0.8796, prior_entropy: 3.1699, recall: 0.8796, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.141, root_relative_squared_error: 0.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9255, kappa: 0.9156, kb_relative_information_score: 0.8801, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.927, predictive_accuracy: 0.925, prior_entropy: 3.1699, recall: 0.925, relative_absolute_error: 0.1842, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.3667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.5172, kappa: 0.3854, kb_relative_information_score: 0.2801, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8547, predictive_accuracy: 0.4537, prior_entropy: 3.1699, recall: 0.4537, relative_absolute_error: 0.7857, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.271, root_relative_squared_error: 0.8622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.1193, kappa: 0.0365, kb_relative_information_score: 0.0166, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.5932, predictive_accuracy: 0.1435, prior_entropy: 3.1699, recall: 0.1435, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.5261, kappa: 0.3958, kb_relative_information_score: 0.2902, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8542, predictive_accuracy: 0.463, prior_entropy: 3.1699, recall: 0.463, relative_absolute_error: 0.7761, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.8565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9346, kappa: 0.926, kb_relative_information_score: 0.893, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9353, predictive_accuracy: 0.9343, prior_entropy: 3.1699, recall: 0.9343, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.3439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9383, kappa: 0.9302, kb_relative_information_score: 0.8836, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9392, predictive_accuracy: 0.938, prior_entropy: 3.1699, recall: 0.938, relative_absolute_error: 0.1894, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8106, kappa: 0.7771, kb_relative_information_score: 0.7011, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8314, predictive_accuracy: 0.8019, prior_entropy: 3.1699, recall: 0.8019, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.6018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8806, kappa: 0.8635, kb_relative_information_score: 0.8218, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8867, predictive_accuracy: 0.8787, prior_entropy: 3.1699, recall: 0.8787, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4576, kappa: -0.0104, kb_relative_information_score: 0.0128, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, predictive_accuracy: 0.1019, prior_entropy: 3.1699, recall: 0.1019, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3151, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9549, kappa: 0.949, kb_relative_information_score: 0.9147, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9554, predictive_accuracy: 0.9546, prior_entropy: 3.1699, recall: 0.9546, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.3046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8577, kappa: 0.8344, kb_relative_information_score: 0.7617, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.872, predictive_accuracy: 0.8528, prior_entropy: 3.1699, recall: 0.8528, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.5266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.1549, kappa: 0.0615, kb_relative_information_score: 0.0218, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.6912, predictive_accuracy: 0.1657, prior_entropy: 3.1699, recall: 0.1657, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3119, root_relative_squared_error: 0.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9326, kappa: 0.924, kb_relative_information_score: 0.8939, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9331, predictive_accuracy: 0.9324, prior_entropy: 3.1699, recall: 0.9324, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.108, root_relative_squared_error: 0.3437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.8763, kappa: 0.8542, kb_relative_information_score: 0.8038, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8903, predictive_accuracy: 0.8704, prior_entropy: 3.1699, recall: 0.8704, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5528, f_measure: 0.1562, kappa: 0.0615, kb_relative_information_score: 0.0224, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.6815, predictive_accuracy: 0.1657, prior_entropy: 3.1699, recall: 0.1657, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9016, kappa: 0.8885, kb_relative_information_score: 0.8621, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9042, predictive_accuracy: 0.9009, prior_entropy: 3.1699, recall: 0.9009, relative_absolute_error: 0.206, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9234, kappa: 0.9135, kb_relative_information_score: 0.8802, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9251, predictive_accuracy: 0.9231, prior_entropy: 3.1699, recall: 0.9231, relative_absolute_error: 0.1828, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1151, root_relative_squared_error: 0.3663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9501, kappa: 0.9438, kb_relative_information_score: 0.9086, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9506, predictive_accuracy: 0.95, prior_entropy: 3.1699, recall: 0.95, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1011, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.7947, kappa: 0.7875, kb_relative_information_score: 0.1268, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8682, predictive_accuracy: 0.8111, prior_entropy: 3.1699, recall: 0.8111, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.9581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.6395, kappa: 0.5344, kb_relative_information_score: 0.4473, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8438, predictive_accuracy: 0.5861, prior_entropy: 3.1699, recall: 0.5861, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2403, root_relative_squared_error: 0.7648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9271, kappa: 0.9188, kb_relative_information_score: 0.4536, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9291, predictive_accuracy: 0.9278, prior_entropy: 3.1699, recall: 0.9278, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.7774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9072, kappa: 0.8948, kb_relative_information_score: 0.8625, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9105, predictive_accuracy: 0.9065, prior_entropy: 3.1699, recall: 0.9065, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.5673, kappa: 0.4438, kb_relative_information_score: 0.3358, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8497, predictive_accuracy: 0.5056, prior_entropy: 3.1699, recall: 0.5056, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.5115, kappa: 0.3792, kb_relative_information_score: 0.272, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8526, predictive_accuracy: 0.4481, prior_entropy: 3.1699, recall: 0.4481, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, f_measure: 0.1854, kappa: 0.0885, kb_relative_information_score: 0.0316, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7012, predictive_accuracy: 0.1898, prior_entropy: 3.1699, recall: 0.1898, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8196, f_measure: 0.5067, kappa: 0.375, kb_relative_information_score: 0.2678, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8532, predictive_accuracy: 0.4444, prior_entropy: 3.1699, recall: 0.4444, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9016, kappa: 0.8885, kb_relative_information_score: 0.8621, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9042, predictive_accuracy: 0.9009, prior_entropy: 3.1699, recall: 0.9009, relative_absolute_error: 0.206, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4454, kappa: -0.0062, kb_relative_information_score: 0.0112, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, predictive_accuracy: 0.1056, prior_entropy: 3.1699, recall: 0.1056, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3147, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.3945, kappa: 0.2656, kb_relative_information_score: 0.1212, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.857, predictive_accuracy: 0.3472, prior_entropy: 3.1699, recall: 0.3472, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.883, kappa: 0.8604, kb_relative_information_score: 0.8041, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9029, predictive_accuracy: 0.8759, prior_entropy: 3.1699, recall: 0.8759, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9082, kappa: 0.8958, kb_relative_information_score: 0.8635, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9116, predictive_accuracy: 0.9074, prior_entropy: 3.1699, recall: 0.9074, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.4055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9008, kappa: 0.8875, kb_relative_information_score: 0.7625, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9037, predictive_accuracy: 0.9, prior_entropy: 3.1699, recall: 0.9, relative_absolute_error: 0.3558, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.165, root_relative_squared_error: 0.5249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.3616, kappa: 0.2417, kb_relative_information_score: 0.0936, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7786, predictive_accuracy: 0.3259, prior_entropy: 3.1699, recall: 0.3259, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9171, kappa: 0.9063, kb_relative_information_score: 0.8727, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9189, predictive_accuracy: 0.9167, prior_entropy: 3.1699, recall: 0.9167, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.3821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9411, kappa: 0.9333, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.942, predictive_accuracy: 0.9407, prior_entropy: 3.1699, recall: 0.9407, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.3408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9054, kappa: 0.8927, kb_relative_information_score: 0.8622, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9086, predictive_accuracy: 0.9046, prior_entropy: 3.1699, recall: 0.9046, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1281, root_relative_squared_error: 0.4075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.2734, kappa: 0.1688, kb_relative_information_score: 0.0476, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.6753, predictive_accuracy: 0.2611, prior_entropy: 3.1699, recall: 0.2611, relative_absolute_error: 0.976, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3082, root_relative_squared_error: 0.9806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.8515, kappa: 0.8198, kb_relative_information_score: 0.743, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8843, predictive_accuracy: 0.8398, prior_entropy: 3.1699, recall: 0.8398, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.6729, kappa: 0.5802, kb_relative_information_score: 0.5009, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8503, predictive_accuracy: 0.6269, prior_entropy: 3.1699, recall: 0.6269, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.229, root_relative_squared_error: 0.7287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9274, kappa: 0.9177, kb_relative_information_score: 0.883, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.929, predictive_accuracy: 0.9269, prior_entropy: 3.1699, recall: 0.9269, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1135, root_relative_squared_error: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.4918, kappa: 0.3594, kb_relative_information_score: 0.2449, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8515, predictive_accuracy: 0.4306, prior_entropy: 3.1699, recall: 0.4306, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.277, root_relative_squared_error: 0.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.8993, kappa: 0.8844, kb_relative_information_score: 0.8398, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9053, predictive_accuracy: 0.8972, prior_entropy: 3.1699, recall: 0.8972, relative_absolute_error: 0.2353, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.4236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9042, kappa: 0.8896, kb_relative_information_score: 0.71, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.911, predictive_accuracy: 0.9019, prior_entropy: 3.1699, recall: 0.9019, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.5741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.7882, kappa: 0.7417, kb_relative_information_score: 0.6461, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8363, predictive_accuracy: 0.7704, prior_entropy: 3.1699, recall: 0.7704, relative_absolute_error: 0.4332, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.6249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.8409, kappa: 0.8052, kb_relative_information_score: 0.7376, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8769, predictive_accuracy: 0.8269, prior_entropy: 3.1699, recall: 0.8269, relative_absolute_error: 0.3393, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.5428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9084, kappa: 0.8958, kb_relative_information_score: 0.8654, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9122, predictive_accuracy: 0.9074, prior_entropy: 3.1699, recall: 0.9074, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.3296, kappa: 0.2115, kb_relative_information_score: 0.0666, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7779, predictive_accuracy: 0.2991, prior_entropy: 3.1699, recall: 0.2991, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.9717,

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