OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13041 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, kappa: 0.2992, kb_relative_information_score: 828.8504, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3063, prior_entropy: 6.6439, recall: 0.3063, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.4492, kappa: 0.4451, kb_relative_information_score: 864.8311, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4706, predictive_accuracy: 0.4506, prior_entropy: 6.6439, recall: 0.4506, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.4266, kappa: 0.428, kb_relative_information_score: 863.1642, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4402, predictive_accuracy: 0.4338, prior_entropy: 6.6439, recall: 0.4338, relative_absolute_error: 0.652, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.4572, kappa: 0.4514, kb_relative_information_score: 849.209, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4723, predictive_accuracy: 0.4569, prior_entropy: 6.6439, recall: 0.4569, relative_absolute_error: 0.6041, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.4039, kappa: 0.4091, kb_relative_information_score: 865.3146, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4108, predictive_accuracy: 0.415, prior_entropy: 6.6439, recall: 0.415, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.4231, kappa: 0.4274, kb_relative_information_score: 875.9187, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4363, predictive_accuracy: 0.4331, prior_entropy: 6.6439, recall: 0.4331, relative_absolute_error: 0.6563, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.4593, kappa: 0.4539, kb_relative_information_score: 853.5094, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4745, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.5806, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, kappa: 0.3093, kb_relative_information_score: 824.2197, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3163, prior_entropy: 6.6439, recall: 0.3163, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, kappa: 0.3497, kb_relative_information_score: 847.3251, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3563, prior_entropy: 6.6439, recall: 0.3563, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, kappa: 0.3333, kb_relative_information_score: 840.3912, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.34, prior_entropy: 6.6439, recall: 0.34, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.3639, kappa: 0.3769, kb_relative_information_score: 851.0185, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3785, predictive_accuracy: 0.3831, prior_entropy: 6.6439, recall: 0.3831, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, kappa: 0.3826, kb_relative_information_score: 850.7373, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3888, prior_entropy: 6.6439, recall: 0.3888, relative_absolute_error: 0.73, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.4415, kappa: 0.4375, kb_relative_information_score: 873.1808, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4583, predictive_accuracy: 0.4431, prior_entropy: 6.6439, recall: 0.4431, relative_absolute_error: 0.6299, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.3781, kappa: 0.3883, kb_relative_information_score: 855.2829, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3931, predictive_accuracy: 0.3944, prior_entropy: 6.6439, recall: 0.3944, relative_absolute_error: 0.6985, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.4044, kappa: 0.4091, kb_relative_information_score: 867.0109, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.411, predictive_accuracy: 0.415, prior_entropy: 6.6439, recall: 0.415, relative_absolute_error: 0.6764, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.4565, kappa: 0.4514, kb_relative_information_score: 846.4427, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.469, predictive_accuracy: 0.4569, prior_entropy: 6.6439, recall: 0.4569, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8128, f_measure: 0.4609, kappa: 0.4564, kb_relative_information_score: 865.3684, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4745, predictive_accuracy: 0.4619, prior_entropy: 6.6439, recall: 0.4619, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.4434, kappa: 0.4394, kb_relative_information_score: 869.6295, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.459, predictive_accuracy: 0.445, prior_entropy: 6.6439, recall: 0.445, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.821, f_measure: 0.4436, kappa: 0.44, kb_relative_information_score: 852.2216, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4615, predictive_accuracy: 0.4456, prior_entropy: 6.6439, recall: 0.4456, relative_absolute_error: 0.6253, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, kappa: 0.3497, kb_relative_information_score: 847.3251, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3563, prior_entropy: 6.6439, recall: 0.3563, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, kappa: 0.3485, kb_relative_information_score: 846.1578, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.355, prior_entropy: 6.6439, recall: 0.355, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, kappa: 0.31, kb_relative_information_score: 824.961, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3169, prior_entropy: 6.6439, recall: 0.3169, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.4514, kappa: 0.4476, kb_relative_information_score: 867.1746, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4733, predictive_accuracy: 0.4531, prior_entropy: 6.6439, recall: 0.4531, relative_absolute_error: 0.62, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.4058, kappa: 0.411, kb_relative_information_score: 867.1822, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4134, predictive_accuracy: 0.4169, prior_entropy: 6.6439, recall: 0.4169, relative_absolute_error: 0.6748, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.4718, kappa: 0.4665, kb_relative_information_score: 842.121, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4839, predictive_accuracy: 0.4719, prior_entropy: 6.6439, recall: 0.4719, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8156, f_measure: 0.4451, kappa: 0.4407, kb_relative_information_score: 860.6286, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4604, predictive_accuracy: 0.4463, prior_entropy: 6.6439, recall: 0.4463, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.4249, kappa: 0.4293, kb_relative_information_score: 878.3854, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4348, predictive_accuracy: 0.435, prior_entropy: 6.6439, recall: 0.435, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.8908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, kappa: 0.3264, kb_relative_information_score: 840.0941, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3331, prior_entropy: 6.6439, recall: 0.3331, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.4546, kappa: 0.4514, kb_relative_information_score: 871.146, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4678, predictive_accuracy: 0.4569, prior_entropy: 6.6439, recall: 0.4569, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.8955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.4487, kappa: 0.4463, kb_relative_information_score: 864.5106, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4605, predictive_accuracy: 0.4519, prior_entropy: 6.6439, recall: 0.4519, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.4662, kappa: 0.4596, kb_relative_information_score: 869.3111, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4827, predictive_accuracy: 0.465, prior_entropy: 6.6439, recall: 0.465, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, kappa: 0.3485, kb_relative_information_score: 846.1578, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.355, prior_entropy: 6.6439, recall: 0.355, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.4553, kappa: 0.4495, kb_relative_information_score: 815.5908, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4782, predictive_accuracy: 0.455, prior_entropy: 6.6439, recall: 0.455, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, kappa: 0.4362, kb_relative_information_score: 865.6156, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4419, prior_entropy: 6.6439, recall: 0.4419, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.9035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.4609, kappa: 0.4552, kb_relative_information_score: 868.6826, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4744, predictive_accuracy: 0.4606, prior_entropy: 6.6439, recall: 0.4606, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, f_measure: 0.435, kappa: 0.435, kb_relative_information_score: 864.5935, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4462, predictive_accuracy: 0.4406, prior_entropy: 6.6439, recall: 0.4406, relative_absolute_error: 0.6408, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.8999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, kappa: 0.334, kb_relative_information_score: 841.7352, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3406, prior_entropy: 6.6439, recall: 0.3406, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, kappa: 0.2999, kb_relative_information_score: 829.6324, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3069, prior_entropy: 6.6439, recall: 0.3069, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.4246, kappa: 0.428, kb_relative_information_score: 873.255, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4354, predictive_accuracy: 0.4338, prior_entropy: 6.6439, recall: 0.4338, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.8933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, kappa: 0.3485, kb_relative_information_score: 846.1578, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.355, prior_entropy: 6.6439, recall: 0.355, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.4168, kappa: 0.4236, kb_relative_information_score: 861.6633, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4201, predictive_accuracy: 0.4294, prior_entropy: 6.6439, recall: 0.4294, relative_absolute_error: 0.6596, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, kappa: 0.3611, kb_relative_information_score: 849.952, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3675, prior_entropy: 6.6439, recall: 0.3675, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, kappa: 0.3485, kb_relative_information_score: 846.1578, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.355, prior_entropy: 6.6439, recall: 0.355, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, kappa: 0.4255, kb_relative_information_score: 871.1089, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4313, prior_entropy: 6.6439, recall: 0.4313, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.4217, kappa: 0.4249, kb_relative_information_score: 875.0129, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4316, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.8934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.4484, kappa: 0.4451, kb_relative_information_score: 857.0797, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4615, predictive_accuracy: 0.4506, prior_entropy: 6.6439, recall: 0.4506, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.09, root_relative_squared_error: 0.9045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.3754, kappa: 0.3864, kb_relative_information_score: 852.2574, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3886, predictive_accuracy: 0.3925, prior_entropy: 6.6439, recall: 0.3925, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, kappa: 0.3611, kb_relative_information_score: 849.952, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3675, prior_entropy: 6.6439, recall: 0.3675, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.3545, kappa: 0.3712, kb_relative_information_score: 855.911, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.362, predictive_accuracy: 0.3775, prior_entropy: 6.6439, recall: 0.3775, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.4142, kappa: 0.4249, kb_relative_information_score: 874.479, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.418, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.4645, kappa: 0.4583, kb_relative_information_score: 812.008, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4803, predictive_accuracy: 0.4638, prior_entropy: 6.6439, recall: 0.4638, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.4378, kappa: 0.4362, kb_relative_information_score: 874.5435, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4515, predictive_accuracy: 0.4419, prior_entropy: 6.6439, recall: 0.4419, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0889, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.4648, kappa: 0.4609, kb_relative_information_score: 752.8988, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4767, predictive_accuracy: 0.4663, prior_entropy: 6.6439, recall: 0.4663, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1011, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8397, f_measure: 0.4084, kappa: 0.4129, kb_relative_information_score: 870.3299, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.415, predictive_accuracy: 0.4188, prior_entropy: 6.6439, recall: 0.4188, relative_absolute_error: 0.6731, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.089, root_relative_squared_error: 0.8946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.4507, kappa: 0.447, kb_relative_information_score: 848.3715, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4634, predictive_accuracy: 0.4525, prior_entropy: 6.6439, recall: 0.4525, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, kappa: 0.4242, kb_relative_information_score: 870.7471, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.43, prior_entropy: 6.6439, recall: 0.43, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.4044, kappa: 0.4091, kb_relative_information_score: 865.9831, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4117, predictive_accuracy: 0.415, prior_entropy: 6.6439, recall: 0.415, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.4145, kappa: 0.4249, kb_relative_information_score: 874.2095, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4185, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.6694, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, kappa: 0.3409, kb_relative_information_score: 844.4684, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3475, prior_entropy: 6.6439, recall: 0.3475, relative_absolute_error: 0.7628, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.4134, kappa: 0.4242, kb_relative_information_score: 873.3775, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4174, predictive_accuracy: 0.43, prior_entropy: 6.6439, recall: 0.43, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.378, kappa: 0.3883, kb_relative_information_score: 853.2982, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3925, predictive_accuracy: 0.3944, prior_entropy: 6.6439, recall: 0.3944, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.4759, kappa: 0.4691, kb_relative_information_score: 861.2944, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.492, predictive_accuracy: 0.4744, prior_entropy: 6.6439, recall: 0.4744, relative_absolute_error: 0.5748, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.09, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, kappa: 0.3819, kb_relative_information_score: 849.8421, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3881, prior_entropy: 6.6439, recall: 0.3881, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.4586, kappa: 0.4514, kb_relative_information_score: 830.603, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4757, predictive_accuracy: 0.4569, prior_entropy: 6.6439, recall: 0.4569, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.9338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, kappa: 0.4508, kb_relative_information_score: 873.5707, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4563, prior_entropy: 6.6439, recall: 0.4563, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.4318, kappa: 0.4337, kb_relative_information_score: 871.2313, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4459, predictive_accuracy: 0.4394, prior_entropy: 6.6439, recall: 0.4394, relative_absolute_error: 0.6475, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.8958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.4605, kappa: 0.4545, kb_relative_information_score: 847.4979, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4746, predictive_accuracy: 0.46, prior_entropy: 6.6439, recall: 0.46, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8256, f_measure: 0.4274, kappa: 0.4293, kb_relative_information_score: 861.1182, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4418, predictive_accuracy: 0.435, prior_entropy: 6.6439, recall: 0.435, relative_absolute_error: 0.6509, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.3682, kappa: 0.3813, kb_relative_information_score: 856.5377, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3816, predictive_accuracy: 0.3875, prior_entropy: 6.6439, recall: 0.3875, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.9037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, kappa: 0.3245, kb_relative_information_score: 841.9975, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3313, prior_entropy: 6.6439, recall: 0.3313, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, kappa: 0.2992, kb_relative_information_score: 829.2956, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3063, prior_entropy: 6.6439, recall: 0.3063, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.4712, kappa: 0.464, kb_relative_information_score: 866.1596, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4874, predictive_accuracy: 0.4694, prior_entropy: 6.6439, recall: 0.4694, relative_absolute_error: 0.587, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.4204, kappa: 0.4249, kb_relative_information_score: 875.8729, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4341, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, kappa: 0.3157, kb_relative_information_score: 829.102, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3225, prior_entropy: 6.6439, recall: 0.3225, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, kappa: 0.2992, kb_relative_information_score: 829.285, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3063, prior_entropy: 6.6439, recall: 0.3063, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.3862, kappa: 0.4009, kb_relative_information_score: 849.589, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3998, predictive_accuracy: 0.4069, prior_entropy: 6.6439, recall: 0.4069, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.4576, kappa: 0.4539, kb_relative_information_score: 871.1366, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4725, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.6169, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.089, root_relative_squared_error: 0.8948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, kappa: 0.2999, kb_relative_information_score: 829.643, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3069, prior_entropy: 6.6439, recall: 0.3069, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.3648, kappa: 0.3775, kb_relative_information_score: 850.966, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.379, predictive_accuracy: 0.3838, prior_entropy: 6.6439, recall: 0.3838, relative_absolute_error: 0.7144, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.4402, kappa: 0.4362, kb_relative_information_score: 874.9664, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.458, predictive_accuracy: 0.4419, prior_entropy: 6.6439, recall: 0.4419, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.82, f_measure: 0.4474, kappa: 0.4444, kb_relative_information_score: 865.6204, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4619, predictive_accuracy: 0.45, prior_entropy: 6.6439, recall: 0.45, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, kappa: 0.3163, kb_relative_information_score: 829.102, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3231, prior_entropy: 6.6439, recall: 0.3231, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.3661, kappa: 0.3794, kb_relative_information_score: 853.3923, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3793, predictive_accuracy: 0.3856, prior_entropy: 6.6439, recall: 0.3856, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.3659, kappa: 0.3788, kb_relative_information_score: 853.2217, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3796, predictive_accuracy: 0.385, prior_entropy: 6.6439, recall: 0.385, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.4408, kappa: 0.4381, kb_relative_information_score: 858.9602, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4541, predictive_accuracy: 0.4438, prior_entropy: 6.6439, recall: 0.4438, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.4569, kappa: 0.4508, kb_relative_information_score: 815.0608, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4753, predictive_accuracy: 0.4563, prior_entropy: 6.6439, recall: 0.4563, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.4526, kappa: 0.447, kb_relative_information_score: 870.8728, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4698, predictive_accuracy: 0.4525, prior_entropy: 6.6439, recall: 0.4525, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.09, root_relative_squared_error: 0.9041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.3857, kappa: 0.4009, kb_relative_information_score: 850.4123, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3973, predictive_accuracy: 0.4069, prior_entropy: 6.6439, recall: 0.4069, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, kappa: 0.3611, kb_relative_information_score: 849.952, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3675, prior_entropy: 6.6439, recall: 0.3675, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.4044, kappa: 0.4129, kb_relative_information_score: 862.6548, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4121, predictive_accuracy: 0.4188, prior_entropy: 6.6439, recall: 0.4188, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, kappa: 0.3264, kb_relative_information_score: 839.7196, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3331, prior_entropy: 6.6439, recall: 0.3331, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.4391, kappa: 0.4356, kb_relative_information_score: 874.4008, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4554, predictive_accuracy: 0.4413, prior_entropy: 6.6439, recall: 0.4413, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.4727, kappa: 0.4628, kb_relative_information_score: 824.8384, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4887, predictive_accuracy: 0.4681, prior_entropy: 6.6439, recall: 0.4681, relative_absolute_error: 0.563, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7691, f_measure: 0.4583, kappa: 0.4514, kb_relative_information_score: 806.2548, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4771, predictive_accuracy: 0.4569, prior_entropy: 6.6439, recall: 0.4569, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0947, root_relative_squared_error: 0.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, kappa: 0.3245, kb_relative_information_score: 841.9975, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3313, prior_entropy: 6.6439, recall: 0.3313, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.4677, kappa: 0.4628, kb_relative_information_score: 846.2253, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4791, predictive_accuracy: 0.4681, prior_entropy: 6.6439, recall: 0.4681, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.9203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.3664, kappa: 0.3794, kb_relative_information_score: 852.9352, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3799, predictive_accuracy: 0.3856, prior_entropy: 6.6439, recall: 0.3856, relative_absolute_error: 0.7128, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.4249, kappa: 0.4287, kb_relative_information_score: 875.3319, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4347, predictive_accuracy: 0.4344, prior_entropy: 6.6439, recall: 0.4344, relative_absolute_error: 0.6566, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.8921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.4163, kappa: 0.423, kb_relative_information_score: 859.9336, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4199, predictive_accuracy: 0.4288, prior_entropy: 6.6439, recall: 0.4288, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.9037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, kappa: 0.3403, kb_relative_information_score: 841.06, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3469, prior_entropy: 6.6439, recall: 0.3469, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9144,

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

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From your own software

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

OpenML APIs