Task
Supervised Classification on cnae-9

Supervised Classification on cnae-9

Task 9981 Supervised Classification cnae-9 22833 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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22833 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.4974, kappa: 0.4219, kb_relative_information_score: 0.4586, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.5671, predictive_accuracy: 0.4861, prior_entropy: 3.1699, recall: 0.4861, relative_absolute_error: 0.5781, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3379, root_relative_squared_error: 1.0753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7172, kappa: 0.6771, kb_relative_information_score: 0.6976, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8186, predictive_accuracy: 0.713, prior_entropy: 3.1699, recall: 0.713, relative_absolute_error: 0.3229, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.8036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.91, kappa: 0.899, kb_relative_information_score: 0.9054, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9135, predictive_accuracy: 0.9102, prior_entropy: 3.1699, recall: 0.9102, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9408, kappa: 0.9333, kb_relative_information_score: 0.9376, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9412, predictive_accuracy: 0.9407, prior_entropy: 3.1699, recall: 0.9407, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9194, kappa: 0.9094, kb_relative_information_score: 0.9151, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9204, predictive_accuracy: 0.9194, prior_entropy: 3.1699, recall: 0.9194, relative_absolute_error: 0.0906, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.4257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9022, kappa: 0.8875, kb_relative_information_score: 0.8946, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9075, predictive_accuracy: 0.9, prior_entropy: 3.1699, recall: 0.9, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.7348, kappa: 0.6938, kb_relative_information_score: 0.7132, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7597, predictive_accuracy: 0.7278, prior_entropy: 3.1699, recall: 0.7278, relative_absolute_error: 0.3063, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.246, root_relative_squared_error: 0.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.7094, kappa: 0.6708, kb_relative_information_score: 0.6917, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.728, predictive_accuracy: 0.7074, prior_entropy: 3.1699, recall: 0.7074, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.255, root_relative_squared_error: 0.8114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9409, kappa: 0.9333, kb_relative_information_score: 0.9376, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9414, predictive_accuracy: 0.9407, prior_entropy: 3.1699, recall: 0.9407, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7975, kappa: 0.7458, kb_relative_information_score: 0.762, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8662, predictive_accuracy: 0.7741, prior_entropy: 3.1699, recall: 0.7741, relative_absolute_error: 0.2542, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9296, kappa: 0.9208, kb_relative_information_score: 0.9259, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9302, predictive_accuracy: 0.9296, prior_entropy: 3.1699, recall: 0.9296, relative_absolute_error: 0.0792, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1251, root_relative_squared_error: 0.3979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.924, kappa: 0.9146, kb_relative_information_score: 0.92, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9249, predictive_accuracy: 0.9241, prior_entropy: 3.1699, recall: 0.9241, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7212, kappa: 0.6802, kb_relative_information_score: 0.7005, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.858, predictive_accuracy: 0.7157, prior_entropy: 3.1699, recall: 0.7157, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.7997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9365, kappa: 0.9281, kb_relative_information_score: 0.9327, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.938, predictive_accuracy: 0.9361, prior_entropy: 3.1699, recall: 0.9361, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.3791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7172, kappa: 0.6771, kb_relative_information_score: 0.6976, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8186, predictive_accuracy: 0.713, prior_entropy: 3.1699, recall: 0.713, relative_absolute_error: 0.3229, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.8036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7212, kappa: 0.6802, kb_relative_information_score: 0.7005, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.858, predictive_accuracy: 0.7157, prior_entropy: 3.1699, recall: 0.7157, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.7997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.9009, kappa: 0.8854, kb_relative_information_score: 0.8927, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9124, predictive_accuracy: 0.8981, prior_entropy: 3.1699, recall: 0.8981, relative_absolute_error: 0.1146, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8318, f_measure: 0.6953, kappa: 0.6635, kb_relative_information_score: 0.6849, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8307, predictive_accuracy: 0.7009, prior_entropy: 3.1699, recall: 0.7009, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.8203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9162, kappa: 0.9052, kb_relative_information_score: 0.9112, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9178, predictive_accuracy: 0.9157, prior_entropy: 3.1699, recall: 0.9157, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.6239, kappa: 0.5115, kb_relative_information_score: 0.5425, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8489, predictive_accuracy: 0.5657, prior_entropy: 3.1699, recall: 0.5657, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9114, kappa: 0.8979, kb_relative_information_score: 0.9044, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9186, predictive_accuracy: 0.9093, prior_entropy: 3.1699, recall: 0.9093, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.142, root_relative_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9114, kappa: 0.8979, kb_relative_information_score: 0.9044, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9186, predictive_accuracy: 0.9093, prior_entropy: 3.1699, recall: 0.9093, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.142, root_relative_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9162, kappa: 0.9052, kb_relative_information_score: 0.9112, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9178, predictive_accuracy: 0.9157, prior_entropy: 3.1699, recall: 0.9157, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9162, kappa: 0.9052, kb_relative_information_score: 0.9112, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9178, predictive_accuracy: 0.9157, prior_entropy: 3.1699, recall: 0.9157, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.6239, kappa: 0.5115, kb_relative_information_score: 0.5425, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8489, predictive_accuracy: 0.5657, prior_entropy: 3.1699, recall: 0.5657, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4385, kappa: -0.1229, kb_relative_information_score: -0.0517, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, predictive_accuracy: 0.0019, prior_entropy: 3.1699, recall: 0.0019, relative_absolute_error: 1.1229, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.471, root_relative_squared_error: 1.4986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7441, kappa: 0.7031, kb_relative_information_score: 0.722, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8654, predictive_accuracy: 0.7361, prior_entropy: 3.1699, recall: 0.7361, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9114, kappa: 0.8979, kb_relative_information_score: 0.9044, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9186, predictive_accuracy: 0.9093, prior_entropy: 3.1699, recall: 0.9093, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.142, root_relative_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9102, kappa: 0.899, kb_relative_information_score: 0.9054, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9135, predictive_accuracy: 0.9102, prior_entropy: 3.1699, recall: 0.9102, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.8778, kappa: 0.8583, kb_relative_information_score: 0.8673, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.889, predictive_accuracy: 0.8741, prior_entropy: 3.1699, recall: 0.8741, relative_absolute_error: 0.1417, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.5323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9102, kappa: 0.899, kb_relative_information_score: 0.9054, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9135, predictive_accuracy: 0.9102, prior_entropy: 3.1699, recall: 0.9102, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.6239, kappa: 0.5115, kb_relative_information_score: 0.5425, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8489, predictive_accuracy: 0.5657, prior_entropy: 3.1699, recall: 0.5657, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.9885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9102, kappa: 0.899, kb_relative_information_score: 0.9054, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9135, predictive_accuracy: 0.9102, prior_entropy: 3.1699, recall: 0.9102, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9102, kappa: 0.899, kb_relative_information_score: 0.9054, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9135, predictive_accuracy: 0.9102, prior_entropy: 3.1699, recall: 0.9102, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9102, kappa: 0.899, kb_relative_information_score: 0.9054, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9135, predictive_accuracy: 0.9102, prior_entropy: 3.1699, recall: 0.9102, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8324, kappa: 0.801, kb_relative_information_score: 0.8137, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8641, predictive_accuracy: 0.8231, prior_entropy: 3.1699, recall: 0.8231, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1982, root_relative_squared_error: 0.6308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7159, kappa: 0.676, kb_relative_information_score: 0.6966, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8503, predictive_accuracy: 0.712, prior_entropy: 3.1699, recall: 0.712, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.253, root_relative_squared_error: 0.8049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.6928, kappa: 0.6615, kb_relative_information_score: 0.6829, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8302, predictive_accuracy: 0.6991, prior_entropy: 3.1699, recall: 0.6991, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.8229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.7159, kappa: 0.676, kb_relative_information_score: 0.6966, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8503, predictive_accuracy: 0.712, prior_entropy: 3.1699, recall: 0.712, relative_absolute_error: 0.324, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.253, root_relative_squared_error: 0.8049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.3527, kappa: 0.2323, kb_relative_information_score: 0.281, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8014, predictive_accuracy: 0.3176, prior_entropy: 3.1699, recall: 0.3176, relative_absolute_error: 0.7677, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3894, root_relative_squared_error: 1.2391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.6928, kappa: 0.6615, kb_relative_information_score: 0.6829, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8287, predictive_accuracy: 0.6991, prior_entropy: 3.1699, recall: 0.6991, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.8229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.6928, kappa: 0.6615, kb_relative_information_score: 0.6829, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8302, predictive_accuracy: 0.6991, prior_entropy: 3.1699, recall: 0.6991, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.8229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.6928, kappa: 0.6615, kb_relative_information_score: 0.6829, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8302, predictive_accuracy: 0.6991, prior_entropy: 3.1699, recall: 0.6991, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.8229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.6928, kappa: 0.6615, kb_relative_information_score: 0.6829, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8287, predictive_accuracy: 0.6991, prior_entropy: 3.1699, recall: 0.6991, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.8229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7441, kappa: 0.7031, kb_relative_information_score: 0.722, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8654, predictive_accuracy: 0.7361, prior_entropy: 3.1699, recall: 0.7361, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8313, kappa: 0.8031, kb_relative_information_score: 0.8156, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8733, predictive_accuracy: 0.825, prior_entropy: 3.1699, recall: 0.825, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.6275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9102, kappa: 0.899, kb_relative_information_score: 0.9054, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9135, predictive_accuracy: 0.9102, prior_entropy: 3.1699, recall: 0.9102, relative_absolute_error: 0.101, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8918, kappa: 0.8792, kb_relative_information_score: 0.8868, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8931, predictive_accuracy: 0.8926, prior_entropy: 3.1699, recall: 0.8926, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.4916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.7441, kappa: 0.7031, kb_relative_information_score: 0.722, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8654, predictive_accuracy: 0.7361, prior_entropy: 3.1699, recall: 0.7361, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2422, root_relative_squared_error: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9399, kappa: 0.9323, kb_relative_information_score: 0.9366, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9403, predictive_accuracy: 0.9398, prior_entropy: 3.1699, recall: 0.9398, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9429, kappa: 0.9354, kb_relative_information_score: 0.9395, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9437, predictive_accuracy: 0.9426, prior_entropy: 3.1699, recall: 0.9426, relative_absolute_error: 0.0646, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1129, root_relative_squared_error: 0.3594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9086, kappa: 0.8969, kb_relative_information_score: 0.9034, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9119, predictive_accuracy: 0.9083, prior_entropy: 3.1699, recall: 0.9083, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7397, kappa: 0.701, kb_relative_information_score: 0.72, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8642, predictive_accuracy: 0.7343, prior_entropy: 3.1699, recall: 0.7343, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.243, root_relative_squared_error: 0.7733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7397, kappa: 0.701, kb_relative_information_score: 0.72, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8642, predictive_accuracy: 0.7343, prior_entropy: 3.1699, recall: 0.7343, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.243, root_relative_squared_error: 0.7733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9142, kappa: 0.9031, kb_relative_information_score: 0.9093, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9157, predictive_accuracy: 0.9139, prior_entropy: 3.1699, recall: 0.9139, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.6964, kappa: 0.6646, kb_relative_information_score: 0.6859, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8315, predictive_accuracy: 0.7019, prior_entropy: 3.1699, recall: 0.7019, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.9057, kappa: 0.8917, kb_relative_information_score: 0.8985, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9102, predictive_accuracy: 0.9037, prior_entropy: 3.1699, recall: 0.9037, relative_absolute_error: 0.1083, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8951, kappa: 0.8823, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0233, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8967, predictive_accuracy: 0.8954, prior_entropy: 3.1699, recall: 0.8954, relative_absolute_error: 0.1177, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.4852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.942, kappa: 0.9344, kb_relative_information_score: 0.9385, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9429, predictive_accuracy: 0.9417, prior_entropy: 3.1699, recall: 0.9417, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9156, kappa: 0.9031, kb_relative_information_score: 0.9093, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9221, predictive_accuracy: 0.9139, prior_entropy: 3.1699, recall: 0.9139, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.7405, kappa: 0.6844, kb_relative_information_score: 0.7044, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8254, predictive_accuracy: 0.7194, prior_entropy: 3.1699, recall: 0.7194, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.7945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.8433, kappa: 0.8177, kb_relative_information_score: 0.8293, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8799, predictive_accuracy: 0.838, prior_entropy: 3.1699, recall: 0.838, relative_absolute_error: 0.1823, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.6038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8712, kappa: 0.851, kb_relative_information_score: 0.8605, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8842, predictive_accuracy: 0.8676, prior_entropy: 3.1699, recall: 0.8676, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.5458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8323, f_measure: 0.6964, kappa: 0.6646, kb_relative_information_score: 0.6859, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8315, predictive_accuracy: 0.7019, prior_entropy: 3.1699, recall: 0.7019, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.7405, kappa: 0.6844, kb_relative_information_score: 0.7044, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8254, predictive_accuracy: 0.7194, prior_entropy: 3.1699, recall: 0.7194, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.7945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9493, kappa: 0.9427, kb_relative_information_score: 0.9463, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9501, predictive_accuracy: 0.9491, prior_entropy: 3.1699, recall: 0.9491, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.3385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5427, f_measure: 0.1538, kappa: 0.0854, kb_relative_information_score: 0.1435, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.717, predictive_accuracy: 0.187, prior_entropy: 3.1699, recall: 0.187, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.425, root_relative_squared_error: 1.3525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9362, kappa: 0.9281, kb_relative_information_score: 0.9327, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9367, predictive_accuracy: 0.9361, prior_entropy: 3.1699, recall: 0.9361, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.3791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9238, kappa: 0.9146, kb_relative_information_score: 0.92, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9242, predictive_accuracy: 0.9241, prior_entropy: 3.1699, recall: 0.9241, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.5894, kappa: 0.4688, kb_relative_information_score: 0.5025, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.847, predictive_accuracy: 0.5278, prior_entropy: 3.1699, recall: 0.5278, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.3239, root_relative_squared_error: 1.0308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9113, kappa: 0.9, kb_relative_information_score: 0.9063, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9138, predictive_accuracy: 0.9111, prior_entropy: 3.1699, recall: 0.9111, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.6238, kappa: 0.5708, kb_relative_information_score: 0.5981, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.6504, predictive_accuracy: 0.6185, prior_entropy: 3.1699, recall: 0.6185, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.6941, kappa: 0.6625, kb_relative_information_score: 0.6839, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8306, predictive_accuracy: 0.7, prior_entropy: 3.1699, recall: 0.7, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.8216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.7597, kappa: 0.7198, kb_relative_information_score: 0.7376, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8556, predictive_accuracy: 0.7509, prior_entropy: 3.1699, recall: 0.7509, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.7486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.7497, kappa: 0.7104, kb_relative_information_score: 0.7288, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7785, predictive_accuracy: 0.7426, prior_entropy: 3.1699, recall: 0.7426, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9493, kappa: 0.9427, kb_relative_information_score: 0.9463, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9501, predictive_accuracy: 0.9491, prior_entropy: 3.1699, recall: 0.9491, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.3385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8881, kappa: 0.8698, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9058, predictive_accuracy: 0.8843, prior_entropy: 3.1699, recall: 0.8843, relative_absolute_error: 0.1302, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.5103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.891, kappa: 0.8781, kb_relative_information_score: 0.8859, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8922, predictive_accuracy: 0.8917, prior_entropy: 3.1699, recall: 0.8917, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.4937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.7497, kappa: 0.7104, kb_relative_information_score: 0.7288, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.7785, predictive_accuracy: 0.7426, prior_entropy: 3.1699, recall: 0.7426, relative_absolute_error: 0.2896, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9421, kappa: 0.9344, kb_relative_information_score: 0.9385, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9432, predictive_accuracy: 0.9417, prior_entropy: 3.1699, recall: 0.9417, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9413, kappa: 0.9333, kb_relative_information_score: 0.9376, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9429, predictive_accuracy: 0.9407, prior_entropy: 3.1699, recall: 0.9407, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9413, kappa: 0.9333, kb_relative_information_score: 0.9376, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9429, predictive_accuracy: 0.9407, prior_entropy: 3.1699, recall: 0.9407, relative_absolute_error: 0.0667, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.911, kappa: 0.9, kb_relative_information_score: 0.9063, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9151, predictive_accuracy: 0.9111, prior_entropy: 3.1699, recall: 0.9111, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8608, kappa: 0.8417, kb_relative_information_score: 0.8517, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8656, predictive_accuracy: 0.8593, prior_entropy: 3.1699, recall: 0.8593, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.6941, kappa: 0.6625, kb_relative_information_score: 0.6839, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8306, predictive_accuracy: 0.7, prior_entropy: 3.1699, recall: 0.7, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.8216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9493, kappa: 0.9427, kb_relative_information_score: 0.9463, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9501, predictive_accuracy: 0.9491, prior_entropy: 3.1699, recall: 0.9491, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.3385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9421, kappa: 0.9344, kb_relative_information_score: 0.9385, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9432, predictive_accuracy: 0.9417, prior_entropy: 3.1699, recall: 0.9417, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9171, kappa: 0.9063, kb_relative_information_score: 0.9122, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9188, predictive_accuracy: 0.9167, prior_entropy: 3.1699, recall: 0.9167, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7481, kappa: 0.7073, kb_relative_information_score: 0.7259, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8658, predictive_accuracy: 0.7398, prior_entropy: 3.1699, recall: 0.7398, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.7651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8357, kappa: 0.8083, kb_relative_information_score: 0.8205, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8777, predictive_accuracy: 0.8296, prior_entropy: 3.1699, recall: 0.8296, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.6928, kappa: 0.6615, kb_relative_information_score: 0.6829, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8302, predictive_accuracy: 0.6991, prior_entropy: 3.1699, recall: 0.6991, relative_absolute_error: 0.3385, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.8229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8357, kappa: 0.8083, kb_relative_information_score: 0.8205, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8777, predictive_accuracy: 0.8296, prior_entropy: 3.1699, recall: 0.8296, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.6941, kappa: 0.6625, kb_relative_information_score: 0.6839, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8306, predictive_accuracy: 0.7, prior_entropy: 3.1699, recall: 0.7, relative_absolute_error: 0.3375, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.8216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.6238, kappa: 0.5708, kb_relative_information_score: 0.5981, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.6504, predictive_accuracy: 0.6185, prior_entropy: 3.1699, recall: 0.6185, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.6238, kappa: 0.5708, kb_relative_information_score: 0.5981, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.6504, predictive_accuracy: 0.6185, prior_entropy: 3.1699, recall: 0.6185, relative_absolute_error: 0.4292, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9313, kappa: 0.9229, kb_relative_information_score: 0.9278, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.932, predictive_accuracy: 0.9315, prior_entropy: 3.1699, recall: 0.9315, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8357, kappa: 0.8083, kb_relative_information_score: 0.8205, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8777, predictive_accuracy: 0.8296, prior_entropy: 3.1699, recall: 0.8296, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.9086, kappa: 0.8969, kb_relative_information_score: 0.9034, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9119, predictive_accuracy: 0.9083, prior_entropy: 3.1699, recall: 0.9083, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.7481, kappa: 0.7073, kb_relative_information_score: 0.7259, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.8658, predictive_accuracy: 0.7398, prior_entropy: 3.1699, recall: 0.7398, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.2405, root_relative_squared_error: 0.7651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9334, kappa: 0.925, kb_relative_information_score: 0.9298, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.1975, number_of_instances: 1080, precision: 0.9339, predictive_accuracy: 0.9333, prior_entropy: 3.1699, recall: 0.9333, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.3143, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.3873,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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

OpenML APIs