OpenML
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: 0.9618, 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: 0.9342, 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: 0.9633, f_measure: 0.9358, 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: 0.9364, 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: 0.9675, f_measure: 0.9423, kappa: 0.9374, kb_relative_information_score: 644.4733, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9489, predictive_accuracy: 0.9429, prior_entropy: 3.8572, recall: 0.9429, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.3538,
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: 0.9579, 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: 0.9617, 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: 0.9604, f_measure: 0.9288, kappa: 0.9244, kb_relative_information_score: 634.9078, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9428, 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: 0.9562, f_measure: 0.9196, kappa: 0.9163, kb_relative_information_score: 628.8028, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9371, 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: 0.9582, f_measure: 0.9262, kappa: 0.9196, kb_relative_information_score: 631.9586, mean_absolute_error: 0.0077, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9273, 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: 0.4986, 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: 0.5541, kappa: 0.1087, kb_relative_information_score: 104.4666, 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: 0.6225, kappa: 0.2469, kb_relative_information_score: 175.7161, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3455, prior_entropy: 3.8572, recall: 0.3455, relative_absolute_error: 0.7168, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2625, root_relative_squared_error: 1.1979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9286, kappa: 0.9214, kb_relative_information_score: 636.3541, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9303, 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: 0.9619, 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: 0.6833, kappa: 0.3708, kb_relative_information_score: 246.6753, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.451, prior_entropy: 3.8572, recall: 0.451, relative_absolute_error: 0.6013, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2404, root_relative_squared_error: 1.0972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9248, kappa: 0.9181, kb_relative_information_score: 632.6766, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9282, 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: 0.962, 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: 0.6431, kappa: 0.2867, kb_relative_information_score: 188.9602, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3821, prior_entropy: 3.8572, recall: 0.3821, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.255, root_relative_squared_error: 1.1639,
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: 0.8037, kappa: 0.6102, 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: 0.9592, f_measure: 0.9281, kappa: 0.9214, kb_relative_information_score: 636.3506, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.929, 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: 0.9105, kappa: 0.8281, kb_relative_information_score: 562.4466, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8448, prior_entropy: 3.8572, recall: 0.8448, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1278, root_relative_squared_error: 0.5833,
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: 0.9559, 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: 0.9657, 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: 0.9632, 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: 0.937, f_measure: 0.888, kappa: 0.8781, kb_relative_information_score: 613.916, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.8914, predictive_accuracy: 0.8887, prior_entropy: 3.8572, recall: 0.8887, relative_absolute_error: 0.1219, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.4939,
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: 0.8373, kappa: 0.6781, kb_relative_information_score: 442.5758, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.7116, prior_entropy: 3.8572, recall: 0.7116, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.7952,
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: 0.947, f_measure: 0.9059, kappa: 0.8973, kb_relative_information_score: 622.1333, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9067, predictive_accuracy: 0.9063, prior_entropy: 3.8572, recall: 0.9063, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.4533,
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: 0.5187, 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: 0.5625, 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: 0.9595, 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: 0.9625, f_measure: 0.9323, kappa: 0.9277, kb_relative_information_score: 636.0182, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9389, 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: 0.9574, f_measure: 0.9248, kappa: 0.9181, kb_relative_information_score: 632.6732, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9283, 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: 0.9299, kappa: 0.9245, kb_relative_information_score: 635.426, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9409, 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: 0.964, f_measure: 0.9356, 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: 0.9454, 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: 0.4246, kappa: -0.1507, kb_relative_information_score: -22.755, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.0015, prior_entropy: 3.8572, recall: 0.0015, relative_absolute_error: 1.0936, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.3242, root_relative_squared_error: 1.4796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9373, kappa: 0.9325, kb_relative_information_score: 641.0128, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9445, 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: 0.9265, kappa: 0.8593, kb_relative_information_score: 586.5722, 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: 0.7784, kappa: 0.5608, kb_relative_information_score: 353.081, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.612, prior_entropy: 3.8572, recall: 0.612, relative_absolute_error: 0.4249, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.9223,
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: 0.5187, 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: 0.9575, f_measure: 0.9248, kappa: 0.9181, kb_relative_information_score: 632.6766, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9282, 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: 0.9644, 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: 0.5756, kappa: 0.1517, kb_relative_information_score: 123.9343, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.265, prior_entropy: 3.8572, recall: 0.265, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2782, root_relative_squared_error: 1.2695,
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: 0.9599, f_measure: 0.9296, kappa: 0.9229, kb_relative_information_score: 635.1144, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9303, 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: 0.9471, f_measure: 0.9045, kappa: 0.8972, kb_relative_information_score: 619.3268, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9141, predictive_accuracy: 0.9063, prior_entropy: 3.8572, recall: 0.9063, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.4533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5612, kappa: 0.1229, kb_relative_information_score: 110.1028, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2401, prior_entropy: 3.8572, recall: 0.2401, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2828, root_relative_squared_error: 1.2908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, kappa: 0.3957, kb_relative_information_score: 258.0316, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4729, prior_entropy: 3.8572, recall: 0.4729, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2355, root_relative_squared_error: 1.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, kappa: 0.5503, kb_relative_information_score: 363.3582, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6032, prior_entropy: 3.8572, recall: 0.6032, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.935, kappa: 0.9294, kb_relative_information_score: 639.892, 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: 0.9566, f_measure: 0.9232, kappa: 0.9165, kb_relative_information_score: 631.864, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9262, 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: 0.9299, kappa: 0.8659, kb_relative_information_score: 591.3567, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8785, prior_entropy: 3.8572, recall: 0.8785, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.5162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7221, kappa: 0.4508, kb_relative_information_score: 298.6283, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5183, prior_entropy: 3.8572, recall: 0.5183, relative_absolute_error: 0.5275, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2252, root_relative_squared_error: 1.0277,
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: 0.7863, kappa: 0.5759, kb_relative_information_score: 366.2835, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6237, prior_entropy: 3.8572, recall: 0.6237, relative_absolute_error: 0.4121, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.199, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9366, kappa: 0.931, kb_relative_information_score: 640.7115, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9415, 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: 0.8935, kappa: 0.7938, kb_relative_information_score: 535.4578, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8141, prior_entropy: 3.8572, recall: 0.8141, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.6385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7087, kappa: 0.4185, kb_relative_information_score: 258.9681, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.4919, prior_entropy: 3.8572, recall: 0.4919, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2313, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, 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: 0.932, 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: 0.5052, 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: 0.5179, kappa: 0.0358, kb_relative_information_score: 67.9689, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1654, prior_entropy: 3.8572, recall: 0.1654, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2964, root_relative_squared_error: 1.3527,
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: 0.5765, 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: 0.9635, 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: 0.9375, 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: 0.9642, f_measure: 0.9361, kappa: 0.931, kb_relative_information_score: 640.7115, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9423, 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: 0.7227, kappa: 0.4486, kb_relative_information_score: 277.3326, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.5198, prior_entropy: 3.8572, recall: 0.5198, relative_absolute_error: 0.5259, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2248, root_relative_squared_error: 1.0261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9196, kappa: 0.9163, kb_relative_information_score: 628.8028, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9371, 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: 0.9392, kappa: 0.8838, kb_relative_information_score: 604.8975, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8946, prior_entropy: 3.8572, recall: 0.8946, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.4808,
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: 0.5625, 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: 0.9559, 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: 0.5187, 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: 0.4866, 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: 0.8017, kappa: 0.6064, kb_relative_information_score: 386.7299, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.6501, prior_entropy: 3.8572, recall: 0.6501, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.8759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9191, kappa: 0.9132, kb_relative_information_score: 628.1968, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9309, 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: 0.9567, 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: 0.9591, f_measure: 0.928, kappa: 0.9213, kb_relative_information_score: 633.2825, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.929, 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: 0.4986, 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: 0.651, kappa: 0.3036, kb_relative_information_score: 199.9785, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3953, prior_entropy: 3.8572, recall: 0.3953, relative_absolute_error: 0.6622, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2523, root_relative_squared_error: 1.1514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9286, kappa: 0.9214, kb_relative_information_score: 636.3541, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9303, 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: 0.9051, kappa: 0.8168, kb_relative_information_score: 553.4784, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.8346, prior_entropy: 3.8572, recall: 0.8346, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.132, root_relative_squared_error: 0.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, kappa: 0.2755, kb_relative_information_score: 189.5384, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.3704, prior_entropy: 3.8572, recall: 0.3704, relative_absolute_error: 0.6895, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2574, root_relative_squared_error: 1.1749,
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: 0.8065, 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: 0.4875, 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: 0.9559, 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: 0.961, f_measure: 0.931, 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: 0.9322, 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: 0.5764, kappa: 0.1532, 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: 0.5543, kappa: 0.1089, kb_relative_information_score: 103.3513, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.2284, prior_entropy: 3.8572, recall: 0.2284, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.285, root_relative_squared_error: 1.3007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9234, kappa: 0.918, kb_relative_information_score: 631.1528, mean_absolute_error: 0.0079, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9346, 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: 0.5113, kappa: 0.0226, kb_relative_information_score: 61.4509, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.0961, number_of_instances: 683, predictive_accuracy: 0.1537, prior_entropy: 3.8572, recall: 0.1537, relative_absolute_error: 0.9268, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.2985, root_relative_squared_error: 1.3622,

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