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: 0.6214, kappa: 0.2432, kb_relative_information_score: 167.9275, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3441, prior_entropy: 3.8572, recall: 0.3441, relative_absolute_error: 0.7184, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2628, root_relative_squared_error: 1.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8166, kappa: 0.6359, kb_relative_information_score: 408.9655, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.675, prior_entropy: 3.8572, recall: 0.675, relative_absolute_error: 0.356, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.185, root_relative_squared_error: 0.8442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4487, kappa: -0.0998, 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: 0.5, kappa: 0, 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: 0.6637, kappa: 0.3291, kb_relative_information_score: 212.6787, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4173, prior_entropy: 3.8572, recall: 0.4173, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2477, root_relative_squared_error: 1.1303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.937, kappa: 0.9325, kb_relative_information_score: 639.9866, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9465, 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: 0.5592, kappa: 0.1187, kb_relative_information_score: 107.6438, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2357, prior_entropy: 3.8572, recall: 0.2357, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2836, root_relative_squared_error: 1.2945,
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: 0.9649, f_measure: 0.9371, kappa: 0.9325, kb_relative_information_score: 639.9866, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9469, 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: 0.4986, kappa: -0.0029, 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: 0.9632, f_measure: 0.9345, kappa: 0.9293, kb_relative_information_score: 638.3683, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9454, 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: 0.9625, f_measure: 0.9344, kappa: 0.9278, kb_relative_information_score: 640.1124, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9355, 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: 0.9579, f_measure: 0.9231, kappa: 0.9196, kb_relative_information_score: 630.9359, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9389, 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: 0.5052, kappa: 0.0105, kb_relative_information_score: 55.8038, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1435, prior_entropy: 3.8572, recall: 0.1435, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3003, root_relative_squared_error: 1.3704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9231, kappa: 0.9196, kb_relative_information_score: 630.9359, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9389, 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: 0.9625, 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: 0.5187, 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: 0.5001, 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: 0.9617, 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: 0.5187, 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: 0.5627, kappa: 0.1258, kb_relative_information_score: 111.3748, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.243, prior_entropy: 3.8572, recall: 0.243, relative_absolute_error: 0.829, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2823, root_relative_squared_error: 1.2883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9187, kappa: 0.9117, kb_relative_information_score: 631.475, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9208, predictive_accuracy: 0.9195, prior_entropy: 3.8572, recall: 0.9195, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.4202,
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: 0.5187, 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: 0.5187, 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: 0.9419, kappa: 0.8887, kb_relative_information_score: 607.8364, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.899, prior_entropy: 3.8572, recall: 0.899, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.4706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, kappa: 0.1552, kb_relative_information_score: 125.5629, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2679, prior_entropy: 3.8572, recall: 0.2679, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2776, root_relative_squared_error: 1.2669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9356, kappa: 0.9294, kb_relative_information_score: 639.9058, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9371, 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: 0.9483, f_measure: 0.9084, kappa: 0.9004, kb_relative_information_score: 622.7324, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9103, predictive_accuracy: 0.9092, prior_entropy: 3.8572, recall: 0.9092, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.4461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8039, kappa: 0.6104, kb_relative_information_score: 389.607, 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: 0.5625, 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: 0.9271, kappa: 0.9197, kb_relative_information_score: 635.0301, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9286, 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: 0.9609, f_measure: 0.9314, kappa: 0.9246, kb_relative_information_score: 637.4679, 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: 0.9444, f_measure: 0.8935, kappa: 0.8936, kb_relative_information_score: 611.8083, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9234, predictive_accuracy: 0.9034, prior_entropy: 3.8572, recall: 0.9034, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.4603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9268, kappa: 0.9228, kb_relative_information_score: 633.5838, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9416, 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: 0.9634, f_measure: 0.9358, kappa: 0.9294, kb_relative_information_score: 640.9216, 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: 0.4875, 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: 0.5187, 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: 0.9583, f_measure: 0.9248, kappa: 0.9197, kb_relative_information_score: 632.4631, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9325, 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: 0.5187, 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: 0.9584, f_measure: 0.9264, kappa: 0.9198, kb_relative_information_score: 635.5415, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9276, 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: 0.5187, 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: 0.5155, kappa: 0.031, kb_relative_information_score: 65.5379, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1611, prior_entropy: 3.8572, recall: 0.1611, relative_absolute_error: 0.9188, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2972, root_relative_squared_error: 1.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, 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: 0.9338, 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: 0.5451, kappa: 0.0906, kb_relative_information_score: 94.4731, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2123, prior_entropy: 3.8572, recall: 0.2123, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.288, root_relative_squared_error: 1.3142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9323, 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: 0.9336, 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: 0.4256, 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: 0.9632, f_measure: 0.9357, kappa: 0.9294, kb_relative_information_score: 641.4329, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9365, 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: 0.5774, kappa: 0.1552, kb_relative_information_score: 125.5595, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2679, prior_entropy: 3.8572, recall: 0.2679, relative_absolute_error: 0.8017, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2776, root_relative_squared_error: 1.2669,
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: 0.9601, 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: 0.962, 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: 0.5765, 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: 0.5625, 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: 0.9633, f_measure: 0.9343, kappa: 0.9293, kb_relative_information_score: 639.3876, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.941, 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: 0.8023, kappa: 0.6134, kb_relative_information_score: 405.1184, 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: 0.9559, 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: 0.4986, 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: 0.6909, kappa: 0.3863, kb_relative_information_score: 255.6884, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4641, prior_entropy: 3.8572, recall: 0.4641, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2375, root_relative_squared_error: 1.0839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, kappa: 0.5996, kb_relative_information_score: 382.111, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6442, prior_entropy: 3.8572, recall: 0.6442, relative_absolute_error: 0.3896, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.8832,
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: 0.9602, f_measure: 0.9295, kappa: 0.923, kb_relative_information_score: 636.6485, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9308, 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: 0.9609, f_measure: 0.9315, 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: 0.9328, 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: 0.9591, f_measure: 0.9279, kappa: 0.9213, kb_relative_information_score: 634.8097, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9308, predictive_accuracy: 0.9283, prior_entropy: 3.8572, recall: 0.9283, relative_absolute_error: 0.0786, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, kappa: 0.3544, kb_relative_information_score: 224.4412, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4392, prior_entropy: 3.8572, recall: 0.4392, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.243, root_relative_squared_error: 1.1088,
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: 0.9644, 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: 0.9376, kappa: 0.8806, kb_relative_information_score: 601.7314, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8917, prior_entropy: 3.8572, recall: 0.8917, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.4874,
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: 0.5765, 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: 0.6295, kappa: 0.2643, kb_relative_information_score: 199.2238, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3499, prior_entropy: 3.8572, recall: 0.3499, relative_absolute_error: 0.7119, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2616, root_relative_squared_error: 1.1939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, 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: 0.9617, 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: 0.6044, kappa: 0.2093, kb_relative_information_score: 151.6437, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3148, prior_entropy: 3.8572, recall: 0.3148, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2686, root_relative_squared_error: 1.2257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9387, kappa: 0.9341, kb_relative_information_score: 641.3106, 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: 0.5, kappa: 0.0001, 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: 0.6647, kappa: 0.332, kb_relative_information_score: 219.8493, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4187, prior_entropy: 3.8572, recall: 0.4187, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2474, root_relative_squared_error: 1.1289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9367, kappa: 0.931, kb_relative_information_score: 640.7149, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9386, 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: 0.9636, f_measure: 0.9355, kappa: 0.9294, kb_relative_information_score: 639.8989, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9378, 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: 0.5187, 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: 0.9567, f_measure: 0.9242, kappa: 0.9165, kb_relative_information_score: 633.4049, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9255, predictive_accuracy: 0.9239, prior_entropy: 3.8572, recall: 0.9239, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.4086,
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: 0.9601, 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: 0.6427, kappa: 0.2873, kb_relative_information_score: 195.276, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3807, prior_entropy: 3.8572, recall: 0.3807, relative_absolute_error: 0.6783, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2553, root_relative_squared_error: 1.1653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9387, kappa: 0.9341, kb_relative_information_score: 641.3106, 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: 0.4976, kappa: -0.0048, kb_relative_information_score: 48.504, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1303, prior_entropy: 3.8572, recall: 0.1303, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3026, root_relative_squared_error: 1.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9402, kappa: 0.9358, kb_relative_information_score: 642.6345, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9489, 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: 0.9649, f_measure: 0.9371, kappa: 0.9325, kb_relative_information_score: 639.9866, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9469, 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: 0.8031, kappa: 0.6148, kb_relative_information_score: 404.6404, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6589, prior_entropy: 3.8572, recall: 0.6589, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.8649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, kappa: 0.6154, 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: 0.9669, f_measure: 0.9411, kappa: 0.9358, kb_relative_information_score: 643.1425, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9438, 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: 0.9583, f_measure: 0.9261, kappa: 0.9197, kb_relative_information_score: 635.0164, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9275, 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: 0.964, f_measure: 0.9357, 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: 0.9459, 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: 0.9608, f_measure: 0.93, kappa: 0.9245, kb_relative_information_score: 636.4384, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9359, 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: 0.9626, f_measure: 0.9343, kappa: 0.9278, kb_relative_information_score: 639.6011, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9359, 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: 0.7958, kappa: 0.5956, kb_relative_information_score: 379.6357, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6413, prior_entropy: 3.8572, recall: 0.6413, relative_absolute_error: 0.3929, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.8868,
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,

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