Task
Supervised Classification on soybean

Supervised Classification on soybean

Task 41 Supervised Classification soybean 16132 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 under100k under1m
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16132 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, kappa: -0.0267, kb_relative_information_score: 37.9436, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1113, prior_entropy: 3.8572, recall: 0.1113, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3059, root_relative_squared_error: 1.3959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9354, kappa: 0.9294, kb_relative_information_score: 639.8955, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9366, predictive_accuracy: 0.9356, prior_entropy: 3.8572, recall: 0.9356, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9291, kappa: 0.923, kb_relative_information_score: 637.1564, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9314, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.086, root_relative_squared_error: 0.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4257, kappa: -0.1487, kb_relative_information_score: -21.9424, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0029, prior_entropy: 3.8572, recall: 0.0029, relative_absolute_error: 1.092, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.324, root_relative_squared_error: 1.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, kappa: 0.127, kb_relative_information_score: 117.3078, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2416, prior_entropy: 3.8572, recall: 0.2416, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2825, root_relative_squared_error: 1.2895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, kappa: -0.1488, kb_relative_information_score: -21.9424, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0029, prior_entropy: 3.8572, recall: 0.0029, relative_absolute_error: 1.092, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.324, root_relative_squared_error: 1.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9324, kappa: 0.9262, kb_relative_information_score: 638.2703, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9339, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kappa: -0.003, kb_relative_information_score: 49.3201, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3023, root_relative_squared_error: 1.3797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9369, kappa: 0.931, kb_relative_information_score: 640.7081, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9382, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kappa: -0.003, kb_relative_information_score: 49.3201, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3023, root_relative_squared_error: 1.3797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9385, kappa: 0.9341, kb_relative_information_score: 641.8219, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9476, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9262, kappa: 0.9197, kb_relative_information_score: 633.4858, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9289, predictive_accuracy: 0.9268, prior_entropy: 3.8572, recall: 0.9268, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.4006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9285, kappa: 0.9229, kb_relative_information_score: 634.6134, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9393, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.086, root_relative_squared_error: 0.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9312, kappa: 0.9261, kb_relative_information_score: 637.2441, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9383, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9358, kappa: 0.9309, kb_relative_information_score: 639.1775, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9463, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, kappa: 0.6155, kb_relative_information_score: 393.5788, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6574, prior_entropy: 3.8572, recall: 0.6574, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9251, kappa: 0.9181, kb_relative_information_score: 634.2141, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9259, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, kappa: 0.1072, kb_relative_information_score: 102.5281, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2269, prior_entropy: 3.8572, recall: 0.2269, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2853, root_relative_squared_error: 1.3019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7861, kappa: 0.7672, kb_relative_information_score: 543.5848, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.7894, predictive_accuracy: 0.7877, prior_entropy: 3.8572, recall: 0.7877, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1495, root_relative_squared_error: 0.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, kappa: -0.0028, kb_relative_information_score: 49.3201, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1318, prior_entropy: 3.8572, recall: 0.1318, relative_absolute_error: 0.9509, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3023, root_relative_squared_error: 1.3797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9303, kappa: 0.9245, kb_relative_information_score: 636.9532, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.935, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, kappa: 0.3174, kb_relative_information_score: 207.1984, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.407, prior_entropy: 3.8572, recall: 0.407, relative_absolute_error: 0.6494, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2498, root_relative_squared_error: 1.1402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9226, kappa: 0.9149, kb_relative_information_score: 632.5923, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9238, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, kappa: 0.1535, kb_relative_information_score: 124.7537, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2665, prior_entropy: 3.8572, recall: 0.2665, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2779, root_relative_squared_error: 1.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.93, kappa: 0.923, kb_relative_information_score: 637.1632, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9314, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.086, root_relative_squared_error: 0.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5764, kappa: 0.1534, kb_relative_information_score: 124.7537, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2665, prior_entropy: 3.8572, recall: 0.2665, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2779, root_relative_squared_error: 1.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9311, kappa: 0.9261, kb_relative_information_score: 636.2317, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.943, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9309, kappa: 0.9246, kb_relative_information_score: 637.4576, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9325, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, kappa: 0.1456, kb_relative_information_score: 124.7211, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2548, prior_entropy: 3.8572, recall: 0.2548, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.2783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, kappa: 0.1535, kb_relative_information_score: 124.7537, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2665, prior_entropy: 3.8572, recall: 0.2665, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2779, root_relative_squared_error: 1.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, kappa: 0.1535, kb_relative_information_score: 124.7537, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2665, prior_entropy: 3.8572, recall: 0.2665, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2779, root_relative_squared_error: 1.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.9309, kappa: 0.9246, kb_relative_information_score: 637.9759, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9323, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9223, kappa: 0.9149, kb_relative_information_score: 632.5923, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9232, predictive_accuracy: 0.9224, prior_entropy: 3.8572, recall: 0.9224, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.9409, kappa: 0.9358, kb_relative_information_score: 643.6607, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9465, predictive_accuracy: 0.9414, prior_entropy: 3.8572, recall: 0.9414, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.3583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, kappa: 0.5864, kb_relative_information_score: 375.5999, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6325, prior_entropy: 3.8572, recall: 0.6325, relative_absolute_error: 0.4025, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.8976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, kappa: 0.127, kb_relative_information_score: 117.3078, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2416, prior_entropy: 3.8572, recall: 0.2416, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2825, root_relative_squared_error: 1.2895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.916, kappa: 0.9131, kb_relative_information_score: 626.6696, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9354, predictive_accuracy: 0.9209, prior_entropy: 3.8572, recall: 0.9209, relative_absolute_error: 0.0866, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4296, kappa: -0.1408, kb_relative_information_score: -17.8862, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0102, prior_entropy: 3.8572, recall: 0.0102, relative_absolute_error: 1.0839, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3228, root_relative_squared_error: 1.4731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, kappa: 0.1762, kb_relative_information_score: 114.5959, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2313, prior_entropy: 3.8572, recall: 0.2313, relative_absolute_error: 0.8418, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2845, root_relative_squared_error: 1.2982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9387, kappa: 0.9326, kb_relative_information_score: 642.5468, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9395, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.3672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, kappa: -0.025, kb_relative_information_score: 38.7562, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1127, prior_entropy: 3.8572, recall: 0.1127, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3056, root_relative_squared_error: 1.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, kappa: 0.4763, kb_relative_information_score: 292.5246, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5417, prior_entropy: 3.8572, recall: 0.5417, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2196, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, kappa: 0.1535, kb_relative_information_score: 124.7537, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2665, prior_entropy: 3.8572, recall: 0.2665, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2779, root_relative_squared_error: 1.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4271, kappa: -0.1458, kb_relative_information_score: -20.3275, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0059, prior_entropy: 3.8572, recall: 0.0059, relative_absolute_error: 1.0888, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3235, root_relative_squared_error: 1.4764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5642, kappa: 0.1304, kb_relative_information_score: 118.933, mean_absolute_error: 0.0795, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2445, prior_entropy: 3.8572, recall: 0.2445, relative_absolute_error: 0.8274, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.282, root_relative_squared_error: 1.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9325, kappa: 0.9262, kb_relative_information_score: 638.2703, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9341, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, kappa: 0.8594, kb_relative_information_score: 587.087, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8726, prior_entropy: 3.8572, recall: 0.8726, relative_absolute_error: 0.1395, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1158, root_relative_squared_error: 0.5285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9308, kappa: 0.9246, kb_relative_information_score: 637.4576, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9323, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, kappa: 0.127, kb_relative_information_score: 117.3078, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2416, prior_entropy: 3.8572, recall: 0.2416, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2825, root_relative_squared_error: 1.2895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6197, kappa: 0.2398, kb_relative_information_score: 166.2918, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3411, prior_entropy: 3.8572, recall: 0.3411, relative_absolute_error: 0.7216, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2634, root_relative_squared_error: 1.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9384, kappa: 0.9326, kb_relative_information_score: 641.5207, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9407, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.3672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, kappa: 0.0054, kb_relative_information_score: 53.3145, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1391, prior_entropy: 3.8572, recall: 0.1391, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.301, root_relative_squared_error: 1.3739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9386, kappa: 0.9341, kb_relative_information_score: 641.8219, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9479, predictive_accuracy: 0.94, prior_entropy: 3.8572, recall: 0.94, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.3628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9338, kappa: 0.9278, kb_relative_information_score: 639.0829, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9358, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9367, kappa: 0.931, kb_relative_information_score: 640.7081, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9392, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, kappa: 0.5708, kb_relative_information_score: 376.7597, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6208, prior_entropy: 3.8572, recall: 0.6208, relative_absolute_error: 0.4153, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9381, kappa: 0.9326, kb_relative_information_score: 642.0355, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9426, predictive_accuracy: 0.9385, prior_entropy: 3.8572, recall: 0.9385, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.3672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, kappa: 0.6512, kb_relative_information_score: 431.7825, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6867, prior_entropy: 3.8572, recall: 0.6867, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, kappa: 0.8757, kb_relative_information_score: 598.2709, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8873, prior_entropy: 3.8572, recall: 0.8873, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.4972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, kappa: 0.624, kb_relative_information_score: 399.6978, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6647, prior_entropy: 3.8572, recall: 0.6647, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.8574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9325, kappa: 0.9277, kb_relative_information_score: 637.0443, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9452, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4892, kappa: -0.0217, kb_relative_information_score: 40.3814, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1157, prior_entropy: 3.8572, recall: 0.1157, relative_absolute_error: 0.9685, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3051, root_relative_squared_error: 1.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, kappa: 0.5401, kb_relative_information_score: 356.6132, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5944, prior_entropy: 3.8572, recall: 0.5944, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9329, kappa: 0.9262, kb_relative_information_score: 639.2998, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9339, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4265, kappa: -0.147, kb_relative_information_score: -21.1332, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0044, prior_entropy: 3.8572, recall: 0.0044, relative_absolute_error: 1.0904, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3237, root_relative_squared_error: 1.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9369, kappa: 0.931, kb_relative_information_score: 640.7081, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9382, predictive_accuracy: 0.937, prior_entropy: 3.8572, recall: 0.937, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0814, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9332, kappa: 0.9277, kb_relative_information_score: 637.5591, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9444, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9256, kappa: 0.9181, kb_relative_information_score: 634.2175, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.927, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, kappa: 0.1535, kb_relative_information_score: 124.7537, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2665, prior_entropy: 3.8572, recall: 0.2665, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2779, root_relative_squared_error: 1.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.9314, kappa: 0.9246, kb_relative_information_score: 637.9759, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.933, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5765, kappa: 0.1535, kb_relative_information_score: 124.7537, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2665, prior_entropy: 3.8572, recall: 0.2665, relative_absolute_error: 0.8033, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2779, root_relative_squared_error: 1.2682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kappa: 0.0002, kb_relative_information_score: 50.8767, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1347, prior_entropy: 3.8572, recall: 0.1347, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3018, root_relative_squared_error: 1.3774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9324, kappa: 0.9262, kb_relative_information_score: 638.2703, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9338, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, kappa: 0.4085, kb_relative_information_score: 268.1469, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4832, prior_entropy: 3.8572, recall: 0.4832, relative_absolute_error: 0.566, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2332, root_relative_squared_error: 1.0645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9329, kappa: 0.9262, kb_relative_information_score: 639.2998, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9339, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, kappa: 0.3461, kb_relative_information_score: 220.8187, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4319, prior_entropy: 3.8572, recall: 0.4319, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2445, root_relative_squared_error: 1.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.9172, kappa: 0.9099, kb_relative_information_score: 624.5262, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9194, predictive_accuracy: 0.918, prior_entropy: 3.8572, recall: 0.918, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9236, kappa: 0.918, kb_relative_information_score: 631.1494, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9349, predictive_accuracy: 0.9253, prior_entropy: 3.8572, recall: 0.9253, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9306, kappa: 0.9245, kb_relative_information_score: 636.435, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9346, predictive_accuracy: 0.9312, prior_entropy: 3.8572, recall: 0.9312, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, kappa: 0.127, kb_relative_information_score: 117.3078, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2416, prior_entropy: 3.8572, recall: 0.2416, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2825, root_relative_squared_error: 1.2895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9266, kappa: 0.9197, kb_relative_information_score: 635.0267, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9274, predictive_accuracy: 0.9268, prior_entropy: 3.8572, recall: 0.9268, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0878, root_relative_squared_error: 0.4006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9321, kappa: 0.9261, kb_relative_information_score: 637.7589, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9355, predictive_accuracy: 0.9327, prior_entropy: 3.8572, recall: 0.9327, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0842, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, kappa: 0.6083, kb_relative_information_score: 401.6613, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.653, prior_entropy: 3.8572, recall: 0.653, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.8722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5187, kappa: 0.0375, kb_relative_information_score: 68.778, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1669, prior_entropy: 3.8572, recall: 0.1669, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2961, root_relative_squared_error: 1.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9337, kappa: 0.9278, kb_relative_information_score: 639.0829, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9358, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.934, kappa: 0.9278, kb_relative_information_score: 639.0829, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9354, predictive_accuracy: 0.9341, prior_entropy: 3.8572, recall: 0.9341, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0833, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.93, kappa: 0.923, kb_relative_information_score: 637.1632, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9314, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.086, root_relative_squared_error: 0.3925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.93, kappa: 0.923, kb_relative_information_score: 637.1632, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9314, predictive_accuracy: 0.9297, prior_entropy: 3.8572, recall: 0.9297, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.086, root_relative_squared_error: 0.3925,

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