OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13010 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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13010 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.4578, kappa: 0.4539, kb_relative_information_score: 868.5647, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.472, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.7959, kappa: 0.8037, kb_relative_information_score: 1090.6517, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8087, predictive_accuracy: 0.8056, prior_entropy: 6.6439, recall: 0.8056, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.7762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.4521, kappa: 0.4489, kb_relative_information_score: 860.5465, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4638, predictive_accuracy: 0.4544, prior_entropy: 6.6439, recall: 0.4544, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9084,
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: 0.8725, 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: 0.9471, kappa: 0.5783, kb_relative_information_score: 242.6477, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5825, prior_entropy: 6.6439, recall: 0.5825, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.6784, kappa: 0.6831, kb_relative_information_score: 1167.5143, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6866, predictive_accuracy: 0.6863, prior_entropy: 6.6439, recall: 0.6863, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.072, root_relative_squared_error: 0.7234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.5348, kappa: 0.5543, kb_relative_information_score: 706.9934, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5392, predictive_accuracy: 0.5588, prior_entropy: 6.6439, recall: 0.5588, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.9308,
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: 0.4851, kappa: 0.0025, kb_relative_information_score: 76.6715, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.7145, kappa: 0.7178, kb_relative_information_score: 1300.7358, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7253, predictive_accuracy: 0.7206, prior_entropy: 6.6439, recall: 0.7206, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0626, root_relative_squared_error: 0.6289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8374, kappa: 0.8352, kb_relative_information_score: 1338.9852, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.845, predictive_accuracy: 0.8369, prior_entropy: 6.6439, recall: 0.8369, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.057, root_relative_squared_error: 0.5732,
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: 0.4536, kappa: -0.0025, kb_relative_information_score: 49.5861, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0075, prior_entropy: 6.6439, recall: 0.0075, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7799, kappa: 0.0739, kb_relative_information_score: 116.1312, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0831, prior_entropy: 6.6439, recall: 0.0831, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, kappa: 0.0025, kb_relative_information_score: 31.1723, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3601, kappa: -0.0063, kb_relative_information_score: 25.1296, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0038, prior_entropy: 6.6439, recall: 0.0038, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.4409, kappa: 0.4375, kb_relative_information_score: 873.5467, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4584, predictive_accuracy: 0.4431, prior_entropy: 6.6439, recall: 0.4431, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.8452, kappa: 0.8428, kb_relative_information_score: 1356.4308, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8514, predictive_accuracy: 0.8444, prior_entropy: 6.6439, recall: 0.8444, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.5564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.4652, kappa: 0.4596, kb_relative_information_score: 856.6535, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4791, predictive_accuracy: 0.465, prior_entropy: 6.6439, recall: 0.465, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.4655, kappa: 0.4571, kb_relative_information_score: 830.8033, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4848, predictive_accuracy: 0.4625, prior_entropy: 6.6439, recall: 0.4625, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.4458, kappa: 0.4419, kb_relative_information_score: 867.886, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4592, predictive_accuracy: 0.4475, prior_entropy: 6.6439, recall: 0.4475, relative_absolute_error: 0.6172, 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: 0.6161, kappa: 0.0025, kb_relative_information_score: 64.5143, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.3559, kappa: 0.3725, kb_relative_information_score: 856.707, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3637, predictive_accuracy: 0.3788, prior_entropy: 6.6439, recall: 0.3788, relative_absolute_error: 0.7235, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.4487, kappa: 0.4457, kb_relative_information_score: 856.0446, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4614, predictive_accuracy: 0.4513, prior_entropy: 6.6439, recall: 0.4513, relative_absolute_error: 0.6174, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.8467, kappa: 0.8441, kb_relative_information_score: 1423.4493, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8576, predictive_accuracy: 0.8456, prior_entropy: 6.6439, recall: 0.8456, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0483, root_relative_squared_error: 0.4859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.4383, kappa: 0.4375, kb_relative_information_score: 876.9068, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4515, predictive_accuracy: 0.4431, prior_entropy: 6.6439, recall: 0.4431, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.8915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.6392, kappa: 0.6528, kb_relative_information_score: 764.0465, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6546, predictive_accuracy: 0.6563, prior_entropy: 6.6439, recall: 0.6563, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, kappa: 0.4255, kb_relative_information_score: 870.7435, 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: 0.646, 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: 0.8722, 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: 0.7835, f_measure: 0.4715, kappa: 0.4646, kb_relative_information_score: 837.896, mean_absolute_error: 0.0113, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4842, predictive_accuracy: 0.47, prior_entropy: 6.6439, recall: 0.47, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.9208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4747, kappa: 0.0025, kb_relative_information_score: 22.2304, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.4602, kappa: 0.4577, kb_relative_information_score: 871.9587, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4734, predictive_accuracy: 0.4631, prior_entropy: 6.6439, recall: 0.4631, relative_absolute_error: 0.5971, 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: 0.9965, f_measure: 0.8277, kappa: 0.8245, kb_relative_information_score: 985.8844, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8357, predictive_accuracy: 0.8263, prior_entropy: 6.6439, recall: 0.8263, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.832,
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: 0.3852, kappa: -0.0013, kb_relative_information_score: 31.0864, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0088, prior_entropy: 6.6439, recall: 0.0088, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, kappa: 0.3163, kb_relative_information_score: 829.1126, 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: 0.7748, 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: 0.8149, f_measure: 0.4445, kappa: 0.4426, kb_relative_information_score: 859.5772, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4566, predictive_accuracy: 0.4481, prior_entropy: 6.6439, recall: 0.4481, relative_absolute_error: 0.6297, 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: 0.5174, f_measure: 0.0309, kappa: 0.0347, kb_relative_information_score: 67.6631, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0467, predictive_accuracy: 0.0444, prior_entropy: 6.6439, recall: 0.0444, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1382, root_relative_squared_error: 1.3894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8235, kappa: 0.8201, kb_relative_information_score: 981.2633, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8314, predictive_accuracy: 0.8219, prior_entropy: 6.6439, recall: 0.8219, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, kappa: 0.5057, kb_relative_information_score: 545.3781, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5106, prior_entropy: 6.6439, recall: 0.5106, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.3864, kappa: 0.3801, kb_relative_information_score: 615.8569, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3981, predictive_accuracy: 0.3863, prior_entropy: 6.6439, recall: 0.3863, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1108, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, kappa: 0.3611, kb_relative_information_score: 849.299, 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: 0.7437, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.8324, kappa: 0.8289, kb_relative_information_score: 979.3194, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8394, predictive_accuracy: 0.8306, prior_entropy: 6.6439, recall: 0.8306, relative_absolute_error: 0.8215, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8273, kappa: 0.8239, kb_relative_information_score: 984.0411, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8355, predictive_accuracy: 0.8256, prior_entropy: 6.6439, recall: 0.8256, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.8331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.4659, kappa: 0.4602, kb_relative_information_score: 866.495, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4812, predictive_accuracy: 0.4656, prior_entropy: 6.6439, recall: 0.4656, relative_absolute_error: 0.5922, 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: 0.8343, f_measure: 0.4213, kappa: 0.4249, kb_relative_information_score: 871.4399, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4309, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.6587, 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: 0.8082, f_measure: 0.4577, kappa: 0.4533, kb_relative_information_score: 863.1202, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.471, predictive_accuracy: 0.4588, prior_entropy: 6.6439, recall: 0.4588, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.9099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.3525, kappa: 0.3693, kb_relative_information_score: 855.7356, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3592, predictive_accuracy: 0.3756, prior_entropy: 6.6439, recall: 0.3756, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.7606, kappa: 0.7569, kb_relative_information_score: 1314.3065, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7759, predictive_accuracy: 0.7594, prior_entropy: 6.6439, recall: 0.7594, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.5955,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.3688, kappa: 0.3908, kb_relative_information_score: 852.9439, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3767, predictive_accuracy: 0.3969, prior_entropy: 6.6439, recall: 0.3969, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8227, kappa: 0.8176, kb_relative_information_score: 980.8101, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8327, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4227, kappa: 0.0025, kb_relative_information_score: 59.0597, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4649, kappa: 0.0025, kb_relative_information_score: 46.4034, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.6702, kappa: 0.6622, kb_relative_information_score: 1073.0086, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6872, predictive_accuracy: 0.6656, prior_entropy: 6.6439, recall: 0.6656, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.796, kappa: 0.798, kb_relative_information_score: 1325.9937, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8024, predictive_accuracy: 0.8, prior_entropy: 6.6439, recall: 0.8, relative_absolute_error: 0.2067, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0597, root_relative_squared_error: 0.6002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.468, kappa: 0.4615, kb_relative_information_score: 813.1803, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4793, predictive_accuracy: 0.4669, prior_entropy: 6.6439, recall: 0.4669, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.9427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.8583, kappa: 0.8611, kb_relative_information_score: 1146.6933, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8648, predictive_accuracy: 0.8625, prior_entropy: 6.6439, recall: 0.8625, relative_absolute_error: 0.6935, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.7374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3492, kappa: -0.0101, kb_relative_information_score: 17.8406, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, kappa: 0.2992, kb_relative_information_score: 828.8398, 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: 0.8308, kappa: 0.4331, kb_relative_information_score: 863.8991, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4388, prior_entropy: 6.6439, recall: 0.4388, relative_absolute_error: 0.6325, 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: 0.9597, f_measure: 0.6409, kappa: 0.6452, kb_relative_information_score: 1120.9983, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6543, predictive_accuracy: 0.6488, prior_entropy: 6.6439, recall: 0.6488, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.7602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, kappa: 0.1654, kb_relative_information_score: 176.7798, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1738, prior_entropy: 6.6439, recall: 0.1738, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, kappa: 0.0442, kb_relative_information_score: 61.9335, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0538, prior_entropy: 6.6439, recall: 0.0538, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4684, kappa: 0.0025, kb_relative_information_score: 19.4141, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3425, kappa: -0.0019, kb_relative_information_score: 35.5454, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0081, prior_entropy: 6.6439, recall: 0.0081, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
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: 0.9861, f_measure: 0.6003, kappa: 0.6237, kb_relative_information_score: 692.8594, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6544, predictive_accuracy: 0.6275, prior_entropy: 6.6439, recall: 0.6275, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.093, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, kappa: 0.0025, kb_relative_information_score: 35.7416, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0125, prior_entropy: 6.6439, recall: 0.0125, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.328, kappa: -0.0088, kb_relative_information_score: 33.3275, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0013, prior_entropy: 6.6439, recall: 0.0013, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4242, f_measure: 0.0004, kappa: -0.0038, kb_relative_information_score: 3.2547, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0002, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.1402, kappa: 0.1263, kb_relative_information_score: 130.2936, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.2053, predictive_accuracy: 0.135, prior_entropy: 6.6439, recall: 0.135, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.9966,
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: 0.8128, 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: 0.3405, kappa: -0.0019, kb_relative_information_score: 19.4305, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0081, prior_entropy: 6.6439, recall: 0.0081, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.2485, kappa: 0.2361, kb_relative_information_score: 219.3315, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3048, predictive_accuracy: 0.2438, prior_entropy: 6.6439, recall: 0.2438, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.7752, kappa: 0.7721, kb_relative_information_score: 956.3262, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7862, predictive_accuracy: 0.7744, prior_entropy: 6.6439, recall: 0.7744, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3211, kappa: -0.0101, kb_relative_information_score: 4.191, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1,
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: 0.8715, kappa: 0.1439, kb_relative_information_score: 238.2738, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1525, prior_entropy: 6.6439, recall: 0.1525, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.9879,
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: 0.8398, 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: 0.8715, 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: 0.8722, f_measure: 0.7475, kappa: 0.7443, kb_relative_information_score: 1194.1161, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7609, predictive_accuracy: 0.7469, prior_entropy: 6.6439, recall: 0.7469, relative_absolute_error: 0.2557, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0712, root_relative_squared_error: 0.7151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.2157, kappa: 0.1944, kb_relative_information_score: 321.2153, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3052, predictive_accuracy: 0.2025, prior_entropy: 6.6439, recall: 0.2025, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1263, root_relative_squared_error: 1.2693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.6521, kappa: 0.6698, kb_relative_information_score: 747.6375, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6808, predictive_accuracy: 0.6731, prior_entropy: 6.6439, recall: 0.6731, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0916, root_relative_squared_error: 0.9207,
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: 0.7842, 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: 0.8772, 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: 0.8466, 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: 0.8479, 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: 0.8392, f_measure: 0.4114, kappa: 0.4141, kb_relative_information_score: 846.404, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4226, predictive_accuracy: 0.42, prior_entropy: 6.6439, recall: 0.42, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9087,
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: 0.6951, f_measure: 0.396, kappa: 0.3902, kb_relative_information_score: 631.8918, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.408, predictive_accuracy: 0.3963, prior_entropy: 6.6439, recall: 0.3963, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1099, root_relative_squared_error: 1.1044,
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: 0.9862, kappa: 0.6383, kb_relative_information_score: 724.3779, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6419, prior_entropy: 6.6439, recall: 0.6419, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3305, kappa: -0.0101, kb_relative_information_score: 8.0882, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0001,

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

OpenML bootcamp

From your own software

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

OpenML APIs