OpenML
Supervised Classification on semeion

Supervised Classification on semeion

Task 9964 Supervised Classification semeion 20292 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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20292 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, kappa: 0.0086, kb_relative_information_score: 0.0678, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1092, prior_entropy: 3.3218, recall: 0.1092, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9418, kappa: 0.9351, kb_relative_information_score: 0.9389, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.943, predictive_accuracy: 0.9416, prior_entropy: 3.3218, recall: 0.9416, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9287, kappa: 0.9205, kb_relative_information_score: 0.925, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9301, predictive_accuracy: 0.9284, prior_entropy: 3.3218, recall: 0.9284, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9381, kappa: 0.9309, kb_relative_information_score: 0.9349, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9391, predictive_accuracy: 0.9379, prior_entropy: 3.3218, recall: 0.9379, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, kappa: 0.0616, kb_relative_information_score: 0.1175, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1569, prior_entropy: 3.3218, recall: 0.1569, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kappa: -0.0055, kb_relative_information_score: 0.0547, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.0967, prior_entropy: 3.3218, recall: 0.0967, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.425, root_relative_squared_error: 1.4168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.9487, kappa: 0.9428, kb_relative_information_score: 0.9461, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9492, predictive_accuracy: 0.9485, prior_entropy: 3.3218, recall: 0.9485, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1015, root_relative_squared_error: 0.3382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, kappa: 0.63, kb_relative_information_score: 0.6508, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.6673, prior_entropy: 3.3218, recall: 0.6673, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.258, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9562, kappa: 0.9512, kb_relative_information_score: 0.954, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9568, predictive_accuracy: 0.9561, prior_entropy: 3.3218, recall: 0.9561, relative_absolute_error: 0.0488, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0937, root_relative_squared_error: 0.3125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5022, f_measure: 0.1241, kappa: 0.0043, kb_relative_information_score: 0.0623, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.4021, predictive_accuracy: 0.1036, prior_entropy: 3.3218, recall: 0.1036, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4234, root_relative_squared_error: 1.4114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9381, kappa: 0.9309, kb_relative_information_score: 0.9349, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9391, predictive_accuracy: 0.9379, prior_entropy: 3.3218, recall: 0.9379, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5141, kappa: 0.0282, kb_relative_information_score: 0.0862, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1268, prior_entropy: 3.3218, recall: 0.1268, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4179, root_relative_squared_error: 1.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, kappa: 0.0616, kb_relative_information_score: 0.1175, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1569, prior_entropy: 3.3218, recall: 0.1569, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, f_measure: 0.09, kappa: 0.0153, kb_relative_information_score: 0.074, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.1204, predictive_accuracy: 0.1149, prior_entropy: 3.3218, recall: 0.1149, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4207, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5076, f_measure: 0.09, kappa: 0.0153, kb_relative_information_score: 0.074, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.1204, predictive_accuracy: 0.1149, prior_entropy: 3.3218, recall: 0.1149, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4207, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, kappa: 0.0616, kb_relative_information_score: 0.1175, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1569, prior_entropy: 3.3218, recall: 0.1569, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9444, kappa: 0.9379, kb_relative_information_score: 0.9415, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9454, predictive_accuracy: 0.9441, prior_entropy: 3.3218, recall: 0.9441, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.3524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5141, kappa: 0.0282, kb_relative_information_score: 0.0862, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1268, prior_entropy: 3.3218, recall: 0.1268, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4179, root_relative_squared_error: 1.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kappa: -0.0041, kb_relative_information_score: 0.0561, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.0979, prior_entropy: 3.3218, recall: 0.0979, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.4159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8625, kappa: 0.8222, kb_relative_information_score: 0.8326, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.922, predictive_accuracy: 0.8399, prior_entropy: 3.3218, recall: 0.8399, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8435, kappa: 0.8242, kb_relative_information_score: 0.8345, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.852, predictive_accuracy: 0.8418, prior_entropy: 3.3218, recall: 0.8418, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, kappa: 0.0616, kb_relative_information_score: 0.1175, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1569, prior_entropy: 3.3218, recall: 0.1569, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.935, kappa: 0.9275, kb_relative_information_score: 0.9316, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9362, predictive_accuracy: 0.9347, prior_entropy: 3.3218, recall: 0.9347, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, kappa: 0.0616, kb_relative_information_score: 0.1175, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1569, prior_entropy: 3.3218, recall: 0.1569, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.1222, kappa: 0.0007, kb_relative_information_score: 0.059, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.3736, predictive_accuracy: 0.1004, prior_entropy: 3.3218, recall: 0.1004, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4242, root_relative_squared_error: 1.4139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5105, kappa: 0.0211, kb_relative_information_score: 0.0796, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1205, prior_entropy: 3.3218, recall: 0.1205, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, kappa: 0.0616, kb_relative_information_score: 0.1175, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1569, prior_entropy: 3.3218, recall: 0.1569, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, f_measure: 0.8625, kappa: 0.8222, kb_relative_information_score: 0.8326, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.922, predictive_accuracy: 0.8399, prior_entropy: 3.3218, recall: 0.8399, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9388, kappa: 0.9316, kb_relative_information_score: 0.9356, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9398, predictive_accuracy: 0.9385, prior_entropy: 3.3218, recall: 0.9385, relative_absolute_error: 0.0684, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.3697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.291, kappa: 0.1548, kb_relative_information_score: 0.2041, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.5446, predictive_accuracy: 0.2392, prior_entropy: 3.3218, recall: 0.2392, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3901, root_relative_squared_error: 1.3003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5105, kappa: 0.0211, kb_relative_information_score: 0.0796, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1205, prior_entropy: 3.3218, recall: 0.1205, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9236, kappa: 0.9142, kb_relative_information_score: 0.9192, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9263, predictive_accuracy: 0.9228, prior_entropy: 3.3218, recall: 0.9228, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9443, kappa: 0.9379, kb_relative_information_score: 0.9415, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9449, predictive_accuracy: 0.9441, prior_entropy: 3.3218, recall: 0.9441, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.3524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9287, kappa: 0.9205, kb_relative_information_score: 0.925, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9301, predictive_accuracy: 0.9284, prior_entropy: 3.3218, recall: 0.9284, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.3988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9456, kappa: 0.9393, kb_relative_information_score: 0.9428, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9463, predictive_accuracy: 0.9454, prior_entropy: 3.3218, recall: 0.9454, relative_absolute_error: 0.0607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9431, kappa: 0.9365, kb_relative_information_score: 0.9402, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9444, predictive_accuracy: 0.9429, prior_entropy: 3.3218, recall: 0.9429, relative_absolute_error: 0.0635, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8435, kappa: 0.8242, kb_relative_information_score: 0.8345, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.852, predictive_accuracy: 0.8418, prior_entropy: 3.3218, recall: 0.8418, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9388, kappa: 0.9316, kb_relative_information_score: 0.9356, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9398, predictive_accuracy: 0.9385, prior_entropy: 3.3218, recall: 0.9385, relative_absolute_error: 0.0684, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.3697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 0.0593, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9418, kappa: 0.9351, kb_relative_information_score: 0.9389, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.943, predictive_accuracy: 0.9416, prior_entropy: 3.3218, recall: 0.9416, relative_absolute_error: 0.0649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5141, kappa: 0.0282, kb_relative_information_score: 0.0862, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1268, prior_entropy: 3.3218, recall: 0.1268, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4179, root_relative_squared_error: 1.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, kappa: -0.0186, kb_relative_information_score: 0.0424, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.0847, prior_entropy: 3.3218, recall: 0.0847, relative_absolute_error: 1.017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.4262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kappa: -0.0041, kb_relative_information_score: 0.0561, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.0979, prior_entropy: 3.3218, recall: 0.0979, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4248, root_relative_squared_error: 1.4159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8371, kappa: 0.818, kb_relative_information_score: 0.8285, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8453, predictive_accuracy: 0.8362, prior_entropy: 3.3218, recall: 0.8362, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.181, root_relative_squared_error: 0.6034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9431, kappa: 0.9365, kb_relative_information_score: 0.9402, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9442, predictive_accuracy: 0.9429, prior_entropy: 3.3218, recall: 0.9429, relative_absolute_error: 0.0635, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kappa: 0.0022, kb_relative_information_score: 0.0619, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1036, prior_entropy: 3.3218, recall: 0.1036, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4234, root_relative_squared_error: 1.4114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9493, kappa: 0.9435, kb_relative_information_score: 0.9468, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.95, predictive_accuracy: 0.9492, prior_entropy: 3.3218, recall: 0.9492, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.3361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, kappa: 0.0616, kb_relative_information_score: 0.1175, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1569, prior_entropy: 3.3218, recall: 0.1569, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9444, kappa: 0.9379, kb_relative_information_score: 0.9415, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9454, predictive_accuracy: 0.9441, prior_entropy: 3.3218, recall: 0.9441, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.3524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9248, kappa: 0.9156, kb_relative_information_score: 0.9205, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9271, predictive_accuracy: 0.924, prior_entropy: 3.3218, recall: 0.924, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.4108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, kappa: 0.0616, kb_relative_information_score: 0.1175, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1569, prior_entropy: 3.3218, recall: 0.1569, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9248, kappa: 0.9156, kb_relative_information_score: 0.9205, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9271, predictive_accuracy: 0.924, prior_entropy: 3.3218, recall: 0.924, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.4108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9425, kappa: 0.9358, kb_relative_information_score: 0.9395, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9436, predictive_accuracy: 0.9422, prior_entropy: 3.3218, recall: 0.9422, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.3582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.945, kappa: 0.9386, kb_relative_information_score: 0.9422, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9455, predictive_accuracy: 0.9448, prior_entropy: 3.3218, recall: 0.9448, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.3504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.945, kappa: 0.9386, kb_relative_information_score: 0.9422, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9455, predictive_accuracy: 0.9448, prior_entropy: 3.3218, recall: 0.9448, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.3504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9444, kappa: 0.9379, kb_relative_information_score: 0.9415, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9455, predictive_accuracy: 0.9441, prior_entropy: 3.3218, recall: 0.9441, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.3524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9368, kappa: 0.9295, kb_relative_information_score: 0.9336, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9378, predictive_accuracy: 0.9366, prior_entropy: 3.3218, recall: 0.9366, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1126, root_relative_squared_error: 0.3754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9276, kappa: 0.9191, kb_relative_information_score: 0.9238, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9296, predictive_accuracy: 0.9272, prior_entropy: 3.3218, recall: 0.9272, relative_absolute_error: 0.0809, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, kappa: 0.0064, kb_relative_information_score: 0.0659, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1073, prior_entropy: 3.3218, recall: 0.1073, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, kappa: 0.0007, kb_relative_information_score: 0.0606, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1023, prior_entropy: 3.3218, recall: 0.1023, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4237, root_relative_squared_error: 1.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9312, kappa: 0.9233, kb_relative_information_score: 0.9277, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9324, predictive_accuracy: 0.9309, prior_entropy: 3.3218, recall: 0.9309, relative_absolute_error: 0.0767, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.8588, kappa: 0.8417, kb_relative_information_score: 0.8509, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8649, predictive_accuracy: 0.8575, prior_entropy: 3.3218, recall: 0.8575, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9493, kappa: 0.9435, kb_relative_information_score: 0.9468, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.95, predictive_accuracy: 0.9492, prior_entropy: 3.3218, recall: 0.9492, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.3361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9118, kappa: 0.9016, kb_relative_information_score: 0.9073, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9137, predictive_accuracy: 0.9115, prior_entropy: 3.3218, recall: 0.9115, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.4435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8435, kappa: 0.8242, kb_relative_information_score: 0.8345, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.852, predictive_accuracy: 0.8418, prior_entropy: 3.3218, recall: 0.8418, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9118, kappa: 0.9016, kb_relative_information_score: 0.9073, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9137, predictive_accuracy: 0.9115, prior_entropy: 3.3218, recall: 0.9115, relative_absolute_error: 0.0983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.4435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9248, kappa: 0.9156, kb_relative_information_score: 0.9205, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9271, predictive_accuracy: 0.924, prior_entropy: 3.3218, recall: 0.924, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.4108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9375, kappa: 0.9302, kb_relative_information_score: 0.9343, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9384, predictive_accuracy: 0.9372, prior_entropy: 3.3218, recall: 0.9372, relative_absolute_error: 0.0698, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.112, root_relative_squared_error: 0.3735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, kappa: 0.298, kb_relative_information_score: 0.3388, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.3691, prior_entropy: 3.3218, recall: 0.3691, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3552, root_relative_squared_error: 1.1841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, kappa: -0.0186, kb_relative_information_score: 0.0424, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.0847, prior_entropy: 3.3218, recall: 0.0847, relative_absolute_error: 1.017, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.4262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, kappa: 0.0993, kb_relative_information_score: 0.1528, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1908, prior_entropy: 3.3218, recall: 0.1908, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4023, root_relative_squared_error: 1.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9232, kappa: 0.9142, kb_relative_information_score: 0.9191, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9247, predictive_accuracy: 0.9228, prior_entropy: 3.3218, recall: 0.9228, relative_absolute_error: 0.0858, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5357, f_measure: 0.2042, kappa: 0.0713, kb_relative_information_score: 0.1253, mean_absolute_error: 0.1672, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.5129, predictive_accuracy: 0.1638, prior_entropy: 3.3218, recall: 0.1638, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4089, root_relative_squared_error: 1.3631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, kappa: 0.0616, kb_relative_information_score: 0.1175, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1569, prior_entropy: 3.3218, recall: 0.1569, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8371, kappa: 0.818, kb_relative_information_score: 0.8285, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8453, predictive_accuracy: 0.8362, prior_entropy: 3.3218, recall: 0.8362, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.181, root_relative_squared_error: 0.6034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6063, kappa: 0.2126, kb_relative_information_score: 0.2588, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.2925, prior_entropy: 3.3218, recall: 0.2925, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3762, root_relative_squared_error: 1.2539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9413, kappa: 0.9344, kb_relative_information_score: 0.9382, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9424, predictive_accuracy: 0.941, prior_entropy: 3.3218, recall: 0.941, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.3621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8371, kappa: 0.818, kb_relative_information_score: 0.8285, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8453, predictive_accuracy: 0.8362, prior_entropy: 3.3218, recall: 0.8362, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.181, root_relative_squared_error: 0.6034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9437, kappa: 0.9372, kb_relative_information_score: 0.9408, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9447, predictive_accuracy: 0.9435, prior_entropy: 3.3218, recall: 0.9435, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.3543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9437, kappa: 0.9372, kb_relative_information_score: 0.9408, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9447, predictive_accuracy: 0.9435, prior_entropy: 3.3218, recall: 0.9435, relative_absolute_error: 0.0628, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.3543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9312, kappa: 0.9233, kb_relative_information_score: 0.9277, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9324, predictive_accuracy: 0.9309, prior_entropy: 3.3218, recall: 0.9309, relative_absolute_error: 0.0767, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.3917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, kappa: 0.0616, kb_relative_information_score: 0.1175, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1569, prior_entropy: 3.3218, recall: 0.1569, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.3688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9211, kappa: 0.9114, kb_relative_information_score: 0.9166, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9238, predictive_accuracy: 0.9203, prior_entropy: 3.3218, recall: 0.9203, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.4209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9381, kappa: 0.9309, kb_relative_information_score: 0.9349, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9391, predictive_accuracy: 0.9379, prior_entropy: 3.3218, recall: 0.9379, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, kappa: 0.0064, kb_relative_information_score: 0.0659, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1073, prior_entropy: 3.3218, recall: 0.1073, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4225, root_relative_squared_error: 1.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, kappa: 0.298, kb_relative_information_score: 0.3388, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.3691, prior_entropy: 3.3218, recall: 0.3691, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3552, root_relative_squared_error: 1.1841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0006, kb_relative_information_score: 0.0593, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1011, prior_entropy: 3.3218, recall: 0.1011, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.424, root_relative_squared_error: 1.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0001, kb_relative_information_score: 0.06, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1017, prior_entropy: 3.3218, recall: 0.1017, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4239, root_relative_squared_error: 1.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9637, f_measure: 0.935, kappa: 0.9275, kb_relative_information_score: 0.9316, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9362, predictive_accuracy: 0.9347, prior_entropy: 3.3218, recall: 0.9347, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.945, kappa: 0.9386, kb_relative_information_score: 0.9422, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9455, predictive_accuracy: 0.9448, prior_entropy: 3.3218, recall: 0.9448, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.3504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.938, kappa: 0.9309, kb_relative_information_score: 0.9349, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9408, predictive_accuracy: 0.9379, prior_entropy: 3.3218, recall: 0.9379, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.667, kappa: 0.6559, kb_relative_information_score: 0.6752, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7912, predictive_accuracy: 0.6905, prior_entropy: 3.3218, recall: 0.6905, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.8293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.938, kappa: 0.9309, kb_relative_information_score: 0.9349, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9408, predictive_accuracy: 0.9379, prior_entropy: 3.3218, recall: 0.9379, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.938, kappa: 0.9309, kb_relative_information_score: 0.9349, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9408, predictive_accuracy: 0.9379, prior_entropy: 3.3218, recall: 0.9379, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1115, root_relative_squared_error: 0.3716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9556, kappa: 0.9505, kb_relative_information_score: 0.9534, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9563, predictive_accuracy: 0.9554, prior_entropy: 3.3218, recall: 0.9554, relative_absolute_error: 0.0495, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.3147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5043, kappa: 0.0085, kb_relative_information_score: 0.0678, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1092, prior_entropy: 3.3218, recall: 0.1092, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, kappa: 0.1568, kb_relative_information_score: 0.2065, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.2423, prior_entropy: 3.3218, recall: 0.2423, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3893, root_relative_squared_error: 1.2976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.3939, kappa: 0.3288, kb_relative_information_score: 0.3682, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.4206, predictive_accuracy: 0.3961, prior_entropy: 3.3218, recall: 0.3961, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3475, root_relative_squared_error: 1.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.9337, kappa: 0.9261, kb_relative_information_score: 0.9303, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9348, predictive_accuracy: 0.9335, prior_entropy: 3.3218, recall: 0.9335, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, kappa: 0.0616, kb_relative_information_score: 0.1175, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.18, number_of_instances: 1593, predictive_accuracy: 0.1569, prior_entropy: 3.3218, recall: 0.1569, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4106, root_relative_squared_error: 1.3688,

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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From your own software

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

OpenML APIs