Task
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 9957 Supervised Classification qsar-biodeg 149823 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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149823 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5888, f_measure: 0.6322, kappa: 0.1775, kb_relative_information_score: 0.1385, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6322, predictive_accuracy: 0.6322, prior_entropy: 0.9223, recall: 0.6322, relative_absolute_error: 0.8223, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.6064, root_relative_squared_error: 1.2826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.7023, kappa: 0.3253, kb_relative_information_score: 0.4116, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7885, predictive_accuracy: 0.7488, prior_entropy: 0.9223, recall: 0.7488, relative_absolute_error: 0.5616, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.8405, kappa: 0.6408, kb_relative_information_score: 0.6292, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.84, predictive_accuracy: 0.8417, prior_entropy: 0.9223, recall: 0.8417, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.5738, kappa: 0.0762, kb_relative_information_score: 0.2518, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7354, predictive_accuracy: 0.6806, prior_entropy: 0.9223, recall: 0.6806, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5652, root_relative_squared_error: 1.1953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8629, kappa: 0.6941, kb_relative_information_score: 0.6781, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8633, predictive_accuracy: 0.8626, prior_entropy: 0.9223, recall: 0.8626, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.8405, kappa: 0.6408, kb_relative_information_score: 0.6292, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.84, predictive_accuracy: 0.8417, prior_entropy: 0.9223, recall: 0.8417, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.8405, kappa: 0.6408, kb_relative_information_score: 0.6292, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.84, predictive_accuracy: 0.8417, prior_entropy: 0.9223, recall: 0.8417, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.7002, kappa: 0.3137, kb_relative_information_score: 0.3272, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6996, predictive_accuracy: 0.7128, prior_entropy: 0.9223, recall: 0.7128, relative_absolute_error: 0.6422, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5359, root_relative_squared_error: 1.1334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.5919, kappa: 0.1054, kb_relative_information_score: 0.2651, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7186, predictive_accuracy: 0.6863, prior_entropy: 0.9223, recall: 0.6863, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5601, root_relative_squared_error: 1.1846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8581, kappa: 0.6813, kb_relative_information_score: 0.6692, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8577, predictive_accuracy: 0.8588, prior_entropy: 0.9223, recall: 0.8588, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5888, f_measure: 0.6322, kappa: 0.1775, kb_relative_information_score: 0.1385, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6322, predictive_accuracy: 0.6322, prior_entropy: 0.9223, recall: 0.6322, relative_absolute_error: 0.8223, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.6064, root_relative_squared_error: 1.2826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.7106, kappa: 0.3411, kb_relative_information_score: 0.4183, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7801, predictive_accuracy: 0.7517, prior_entropy: 0.9223, recall: 0.7517, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.7106, kappa: 0.3411, kb_relative_information_score: 0.4183, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7801, predictive_accuracy: 0.7517, prior_entropy: 0.9223, recall: 0.7517, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.8405, kappa: 0.6408, kb_relative_information_score: 0.6292, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.84, predictive_accuracy: 0.8417, prior_entropy: 0.9223, recall: 0.8417, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.6981, kappa: 0.3176, kb_relative_information_score: 0.4094, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7968, predictive_accuracy: 0.7479, prior_entropy: 0.9223, recall: 0.7479, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5812, f_measure: 0.6402, kappa: 0.1751, kb_relative_information_score: 0.1985, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6359, predictive_accuracy: 0.6578, prior_entropy: 0.9223, recall: 0.6578, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.585, root_relative_squared_error: 1.2371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.7843, kappa: 0.5208, kb_relative_information_score: 0.4916, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7861, predictive_accuracy: 0.7829, prior_entropy: 0.9223, recall: 0.7829, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4659, root_relative_squared_error: 0.9853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8734, kappa: 0.7159, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8731, predictive_accuracy: 0.8739, prior_entropy: 0.9223, recall: 0.8739, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8734, kappa: 0.7159, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8731, predictive_accuracy: 0.8739, prior_entropy: 0.9223, recall: 0.8739, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.8424, kappa: 0.6451, kb_relative_information_score: 0.6337, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8419, predictive_accuracy: 0.8436, prior_entropy: 0.9223, recall: 0.8436, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.663, kappa: 0.2474, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6635, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.6981, kappa: 0.3176, kb_relative_information_score: 0.4094, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7968, predictive_accuracy: 0.7479, prior_entropy: 0.9223, recall: 0.7479, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.6331, kappa: 0.1754, kb_relative_information_score: 0.1452, mean_absolute_error: 0.3649, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6313, predictive_accuracy: 0.6351, prior_entropy: 0.9223, recall: 0.6351, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.6041, root_relative_squared_error: 1.2776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5882, kappa: 0.0961, kb_relative_information_score: 0.2562, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6981, predictive_accuracy: 0.6825, prior_entropy: 0.9223, recall: 0.6825, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5635, root_relative_squared_error: 1.1917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.6964, kappa: 0.3186, kb_relative_information_score: 0.2917, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6954, predictive_accuracy: 0.6976, prior_entropy: 0.9223, recall: 0.6976, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.8629, kappa: 0.6941, kb_relative_information_score: 0.6781, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8633, predictive_accuracy: 0.8626, prior_entropy: 0.9223, recall: 0.8626, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6241, f_measure: 0.663, kappa: 0.2474, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6635, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.8426, kappa: 0.6461, kb_relative_information_score: 0.6337, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8421, predictive_accuracy: 0.8436, prior_entropy: 0.9223, recall: 0.8436, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5378, f_measure: 0.5882, kappa: 0.0961, kb_relative_information_score: 0.2562, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6981, predictive_accuracy: 0.6825, prior_entropy: 0.9223, recall: 0.6825, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5635, root_relative_squared_error: 1.1917,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8581, kappa: 0.6813, kb_relative_information_score: 0.6692, mean_absolute_error: 0.1412, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8577, predictive_accuracy: 0.8588, prior_entropy: 0.9223, recall: 0.8588, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3758, root_relative_squared_error: 0.7948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.6163, kappa: 0.1545, kb_relative_information_score: 0.3006, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7623, predictive_accuracy: 0.7014, prior_entropy: 0.9223, recall: 0.7014, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5464, root_relative_squared_error: 1.1556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.8308, kappa: 0.6174, kb_relative_information_score: 0.6092, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8306, predictive_accuracy: 0.8332, prior_entropy: 0.9223, recall: 0.8332, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6297, f_measure: 0.6685, kappa: 0.2591, kb_relative_information_score: 0.2229, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6687, predictive_accuracy: 0.6682, prior_entropy: 0.9223, recall: 0.6682, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.576, root_relative_squared_error: 1.2181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.6964, kappa: 0.3186, kb_relative_information_score: 0.2917, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6954, predictive_accuracy: 0.6976, prior_entropy: 0.9223, recall: 0.6976, relative_absolute_error: 0.6761, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.782, kappa: 0.499, kb_relative_information_score: 0.5226, mean_absolute_error: 0.2038, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7989, predictive_accuracy: 0.7962, prior_entropy: 0.9223, recall: 0.7962, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.8405, kappa: 0.6408, kb_relative_information_score: 0.6292, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.84, predictive_accuracy: 0.8417, prior_entropy: 0.9223, recall: 0.8417, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.8677, kappa: 0.7031, kb_relative_information_score: 0.6914, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8674, predictive_accuracy: 0.8682, prior_entropy: 0.9223, recall: 0.8682, relative_absolute_error: 0.2946, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.8369, kappa: 0.6303, kb_relative_information_score: 0.6248, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8374, predictive_accuracy: 0.8398, prior_entropy: 0.9223, recall: 0.8398, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4002, root_relative_squared_error: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.7416, kappa: 0.4134, kb_relative_information_score: 0.4072, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7401, predictive_accuracy: 0.7469, prior_entropy: 0.9223, recall: 0.7469, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8745, kappa: 0.7186, kb_relative_information_score: 0.7069, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8743, predictive_accuracy: 0.8749, prior_entropy: 0.9223, recall: 0.8749, relative_absolute_error: 0.2798, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.8308, kappa: 0.6174, kb_relative_information_score: 0.6092, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8306, predictive_accuracy: 0.8332, prior_entropy: 0.9223, recall: 0.8332, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.8532, kappa: 0.6699, kb_relative_information_score: 0.6581, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8528, predictive_accuracy: 0.854, prior_entropy: 0.9223, recall: 0.854, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.5886, kappa: 0.08, kb_relative_information_score: 0.0364, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.5886, predictive_accuracy: 0.5886, prior_entropy: 0.9223, recall: 0.5886, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.6414, root_relative_squared_error: 1.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.5886, kappa: 0.08, kb_relative_information_score: 0.0364, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.5886, predictive_accuracy: 0.5886, prior_entropy: 0.9223, recall: 0.5886, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.6414, root_relative_squared_error: 1.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.54, f_measure: 0.5886, kappa: 0.08, kb_relative_information_score: 0.0364, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.5886, predictive_accuracy: 0.5886, prior_entropy: 0.9223, recall: 0.5886, relative_absolute_error: 0.9198, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.6414, root_relative_squared_error: 1.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.6547, kappa: 0.2265, kb_relative_information_score: 0.3428, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7607, predictive_accuracy: 0.7194, prior_entropy: 0.9223, recall: 0.7194, relative_absolute_error: 0.6273, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5297, root_relative_squared_error: 1.1202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.8405, kappa: 0.6408, kb_relative_information_score: 0.6292, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.84, predictive_accuracy: 0.8417, prior_entropy: 0.9223, recall: 0.8417, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.8414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.784, kappa: 0.5037, kb_relative_information_score: 0.5271, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8012, predictive_accuracy: 0.7981, prior_entropy: 0.9223, recall: 0.7981, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5645, f_measure: 0.621, kappa: 0.1628, kb_relative_information_score: 0.305, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7598, predictive_accuracy: 0.7033, prior_entropy: 0.9223, recall: 0.7033, relative_absolute_error: 0.6633, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.8339, kappa: 0.6283, kb_relative_information_score: 0.6114, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8338, predictive_accuracy: 0.8341, prior_entropy: 0.9223, recall: 0.8341, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.6664, kappa: 0.2563, kb_relative_information_score: 0.2162, mean_absolute_error: 0.3346, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6675, predictive_accuracy: 0.6654, prior_entropy: 0.9223, recall: 0.6654, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5784, root_relative_squared_error: 1.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.8702, kappa: 0.7098, kb_relative_information_score: 0.6958, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8702, predictive_accuracy: 0.8701, prior_entropy: 0.9223, recall: 0.8701, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.7453, kappa: 0.4273, kb_relative_information_score: 0.4072, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7442, predictive_accuracy: 0.7469, prior_entropy: 0.9223, recall: 0.7469, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.8768, kappa: 0.7225, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8766, predictive_accuracy: 0.8777, prior_entropy: 0.9223, recall: 0.8777, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2096, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, predictive_accuracy: 0.6626, prior_entropy: 0.9223, recall: 0.6626, relative_absolute_error: 0.7545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5809, root_relative_squared_error: 1.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.809, kappa: 0.5672, kb_relative_information_score: 0.5604, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8088, predictive_accuracy: 0.8123, prior_entropy: 0.9223, recall: 0.8123, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.9162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8728, kappa: 0.7135, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1261, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8727, predictive_accuracy: 0.8739, prior_entropy: 0.9223, recall: 0.8739, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8266, f_measure: 0.8375, kappa: 0.6405, kb_relative_information_score: 0.6159, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8403, predictive_accuracy: 0.836, prior_entropy: 0.9223, recall: 0.836, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4049, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.7426, kappa: 0.411, kb_relative_information_score: 0.4693, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.798, predictive_accuracy: 0.7735, prior_entropy: 0.9223, recall: 0.7735, relative_absolute_error: 0.5065, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.8284, kappa: 0.61, kb_relative_information_score: 0.607, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8297, predictive_accuracy: 0.8322, prior_entropy: 0.9223, recall: 0.8322, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.7377, kappa: 0.3991, kb_relative_information_score: 0.456, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7856, predictive_accuracy: 0.7678, prior_entropy: 0.9223, recall: 0.7678, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5674, f_measure: 0.6236, kappa: 0.1707, kb_relative_information_score: 0.3139, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7842, predictive_accuracy: 0.7071, prior_entropy: 0.9223, recall: 0.7071, relative_absolute_error: 0.6549, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.5412, root_relative_squared_error: 1.1446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.309, f_measure: 0.3823, kappa: -0.3829, kb_relative_information_score: -0.4454, mean_absolute_error: 0.6171, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.3817, predictive_accuracy: 0.3829, prior_entropy: 0.9223, recall: 0.3829, relative_absolute_error: 1.3797, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.7855, root_relative_squared_error: 1.6613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8615, f_measure: 0.8775, kappa: 0.7256, kb_relative_information_score: 0.7136, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8773, predictive_accuracy: 0.8777, prior_entropy: 0.9223, recall: 0.8777, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.8087, kappa: 0.578, kb_relative_information_score: 0.5471, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8128, predictive_accuracy: 0.8066, prior_entropy: 0.9223, recall: 0.8066, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2807, f_measure: 0.3566, kappa: -0.4384, kb_relative_information_score: -0.5076, mean_absolute_error: 0.6436, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.3568, predictive_accuracy: 0.3564, prior_entropy: 0.9223, recall: 0.3564, relative_absolute_error: 1.439, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.8022, root_relative_squared_error: 1.6967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.8722, kappa: 0.7128, kb_relative_information_score: 0.7025, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8719, predictive_accuracy: 0.873, prior_entropy: 0.9223, recall: 0.873, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.8713, kappa: 0.7108, kb_relative_information_score: 0.7003, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.871, predictive_accuracy: 0.872, prior_entropy: 0.9223, recall: 0.872, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7565,

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

OpenML bootcamp

From your own software

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

OpenML APIs