OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13717 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: 0.2564, kappa: -0.0101, kb_relative_information_score: 19.229, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.4572, kappa: 0.452, kb_relative_information_score: 858.704, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4714, predictive_accuracy: 0.4575, prior_entropy: 6.6439, recall: 0.4575, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.9109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.3549, kappa: 0.3712, kb_relative_information_score: 853.9743, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3628, predictive_accuracy: 0.3775, prior_entropy: 6.6439, recall: 0.3775, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.4686, kappa: 0.4628, kb_relative_information_score: 843.5437, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4828, predictive_accuracy: 0.4681, prior_entropy: 6.6439, recall: 0.4681, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.438, kappa: 0.4343, kb_relative_information_score: 867.6256, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4554, predictive_accuracy: 0.44, prior_entropy: 6.6439, recall: 0.44, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8217, kappa: 0.8182, kb_relative_information_score: 985.1144, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8312, predictive_accuracy: 0.82, prior_entropy: 6.6439, recall: 0.82, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.4581, kappa: 0.4545, kb_relative_information_score: 779.8609, mean_absolute_error: 0.0109, 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: 0.5485, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0977, root_relative_squared_error: 0.9822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4234, kappa: 0.0025, kb_relative_information_score: 17.3806, 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: 0.9998, 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: 0.4601, kappa: 0.0025, kb_relative_information_score: 75.2805, 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: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.7824, kappa: 0.779, kb_relative_information_score: 969.9381, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7915, predictive_accuracy: 0.7813, prior_entropy: 6.6439, recall: 0.7813, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.3518, kappa: 0.3687, kb_relative_information_score: 854.5168, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3589, predictive_accuracy: 0.375, prior_entropy: 6.6439, recall: 0.375, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, kappa: 0.0025, kb_relative_information_score: 35.3418, 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: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3058, kappa: -0.0069, kb_relative_information_score: 2.9539, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0031, prior_entropy: 6.6439, recall: 0.0031, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8224, kappa: 0.8176, kb_relative_information_score: 985.2259, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8308, predictive_accuracy: 0.8194, prior_entropy: 6.6439, recall: 0.8194, relative_absolute_error: 0.8163, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4714, kappa: 0.0025, kb_relative_information_score: 58.1339, 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: 0.3555, kappa: 0.0057, kb_relative_information_score: 27.1618, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0156, prior_entropy: 6.6439, recall: 0.0156, relative_absolute_error: 0.9997, 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: 0.7965, f_measure: 0.4646, kappa: 0.4552, kb_relative_information_score: 841.78, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4863, predictive_accuracy: 0.4606, prior_entropy: 6.6439, recall: 0.4606, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.4556, kappa: 0.4501, kb_relative_information_score: 844.6552, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4711, predictive_accuracy: 0.4556, prior_entropy: 6.6439, recall: 0.4556, relative_absolute_error: 0.6077, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3742, kb_relative_information_score: 31.7984, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.01, prior_entropy: 6.6439, recall: 0.01, 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: 0.8668, 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: 0.7743, f_measure: 0.4574, kappa: 0.4514, kb_relative_information_score: 822.1887, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4753, predictive_accuracy: 0.4569, prior_entropy: 6.6439, recall: 0.4569, relative_absolute_error: 0.5622, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8496, f_measure: 0.4136, kappa: 0.4249, kb_relative_information_score: 872.9738, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4157, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.67, 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: 0.8593, kappa: 0.3333, kb_relative_information_score: 840.0901, 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: 0.7562, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, kappa: 0.0038, kb_relative_information_score: 54.6701, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9991, 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: -0.0019, kb_relative_information_score: 13.005, 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: 0.9998, 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: 0.8611, kappa: 0.3819, kb_relative_information_score: 849.9363, 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: 0.7306, 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: 0.7476, f_measure: 0.4893, kappa: 0.483, kb_relative_information_score: 792.9346, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5016, predictive_accuracy: 0.4881, prior_entropy: 6.6439, recall: 0.4881, relative_absolute_error: 0.5177, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, kappa: 0.7128, kb_relative_information_score: 900.3543, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.7156, prior_entropy: 6.6439, recall: 0.7156, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0867, root_relative_squared_error: 0.8714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.8152, kappa: 0.81, kb_relative_information_score: 982.1895, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8251, predictive_accuracy: 0.8119, prior_entropy: 6.6439, recall: 0.8119, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.083, root_relative_squared_error: 0.8341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.43, kappa: 0.4312, kb_relative_information_score: 869.6765, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4444, predictive_accuracy: 0.4369, prior_entropy: 6.6439, recall: 0.4369, relative_absolute_error: 0.649, 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: 0.8593, kappa: 0.334, kb_relative_information_score: 840.6147, 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: 0.7558, 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: 0.7656, f_measure: 0.4604, kappa: 0.4564, kb_relative_information_score: 805.2235, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4747, predictive_accuracy: 0.4619, prior_entropy: 6.6439, recall: 0.4619, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.9563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.4501, kappa: 0.4457, kb_relative_information_score: 867.2581, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.467, predictive_accuracy: 0.4513, prior_entropy: 6.6439, recall: 0.4513, relative_absolute_error: 0.608, 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: 0.8509, f_measure: 0.3852, kappa: 0.4003, kb_relative_information_score: 851.488, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3968, predictive_accuracy: 0.4063, prior_entropy: 6.6439, recall: 0.4063, relative_absolute_error: 0.7042, 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: 0.4672, kappa: -0.0044, kb_relative_information_score: 22.9552, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 0.9996, 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: 0.9586, kappa: 0.3188, kb_relative_information_score: 498.5584, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3256, prior_entropy: 6.6439, recall: 0.3256, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.096, root_relative_squared_error: 0.9646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.4139, kappa: 0.4242, kb_relative_information_score: 873.5631, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4177, predictive_accuracy: 0.43, prior_entropy: 6.6439, recall: 0.43, relative_absolute_error: 0.67, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.478, kappa: 0.0025, kb_relative_information_score: 24.9803, 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: 0.4831, kappa: 0.0025, kb_relative_information_score: 49.6952, 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: 0.9992, 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: 0.8212, f_measure: 0.4467, kappa: 0.4438, kb_relative_information_score: 867.2322, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4621, predictive_accuracy: 0.4494, prior_entropy: 6.6439, recall: 0.4494, relative_absolute_error: 0.6308, 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: 0.6431, kappa: -0.0032, kb_relative_information_score: 39.4926, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0069, prior_entropy: 6.6439, recall: 0.0069, relative_absolute_error: 0.9994, 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: 0.8231, kappa: 0.1667, kb_relative_information_score: 33.3646, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.175, prior_entropy: 6.6439, recall: 0.175, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3165, kappa: -0.0044, kb_relative_information_score: 10.3186, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 1.0003, 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: 0.797, f_measure: 0.4612, kappa: 0.4539, kb_relative_information_score: 848.2596, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4816, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.5846, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.3785, kappa: 0.3889, kb_relative_information_score: 854.6993, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3925, predictive_accuracy: 0.395, prior_entropy: 6.6439, recall: 0.395, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.8245, kappa: 0.8207, kb_relative_information_score: 983.8717, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8343, predictive_accuracy: 0.8225, prior_entropy: 6.6439, recall: 0.8225, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3545, kappa: -0.0019, kb_relative_information_score: 24.0069, 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: 1.0002, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4404, kappa: 0.0025, kb_relative_information_score: 33.6157, 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: 0.4703, kappa: -0.0025, kb_relative_information_score: 41.7451, 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: 0.9993, 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: 0.9963, f_measure: 0.8207, kappa: 0.8157, kb_relative_information_score: 981.2942, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.83, predictive_accuracy: 0.8175, prior_entropy: 6.6439, recall: 0.8175, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.8348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.0839, kappa: 0.1199, kb_relative_information_score: 642.3374, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.0801, predictive_accuracy: 0.1288, prior_entropy: 6.6439, recall: 0.1288, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, kappa: 0.0025, kb_relative_information_score: 47.7182, 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: 0.9992, 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: 0.8664, 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: 0.8594, kappa: 0.334, kb_relative_information_score: 840.9669, 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: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.3785, kappa: 0.3889, kb_relative_information_score: 853.7278, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.393, predictive_accuracy: 0.395, prior_entropy: 6.6439, recall: 0.395, relative_absolute_error: 0.6992, 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: 0.7644, f_measure: 0.4503, kappa: 0.4463, kb_relative_information_score: 803.7901, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4642, predictive_accuracy: 0.4519, prior_entropy: 6.6439, recall: 0.4519, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.9531,
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: 0.8404, f_measure: 0.3769, kappa: 0.3876, kb_relative_information_score: 854.4037, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3902, predictive_accuracy: 0.3938, prior_entropy: 6.6439, recall: 0.3938, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4195, kappa: -0.0038, kb_relative_information_score: 6.4276, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0063, prior_entropy: 6.6439, recall: 0.0063, relative_absolute_error: 0.9999, 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: 0.8577, kappa: 0.3504, kb_relative_information_score: 850.7691, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3569, prior_entropy: 6.6439, recall: 0.3569, relative_absolute_error: 0.7406, 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: 0.9964, f_measure: 0.8232, kappa: 0.8194, kb_relative_information_score: 984.9465, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.8313, predictive_accuracy: 0.8213, prior_entropy: 6.6439, recall: 0.8213, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.8324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.4477, kappa: 0.4463, kb_relative_information_score: 857.59, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4612, predictive_accuracy: 0.4519, prior_entropy: 6.6439, recall: 0.4519, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.4625, kappa: 0.459, kb_relative_information_score: 835.367, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4726, predictive_accuracy: 0.4644, prior_entropy: 6.6439, recall: 0.4644, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.9238,
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: 0.332, kappa: -0.0044, kb_relative_information_score: 22.234, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.4351, kappa: 0.4356, kb_relative_information_score: 864.4231, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4474, predictive_accuracy: 0.4413, prior_entropy: 6.6439, recall: 0.4413, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, kappa: 0.3264, kb_relative_information_score: 839.8701, 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: 0.9142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.4229, kappa: 0.4274, kb_relative_information_score: 876.3466, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4327, predictive_accuracy: 0.4331, prior_entropy: 6.6439, recall: 0.4331, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.8928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.4692, kappa: 0.4621, kb_relative_information_score: 856.8853, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4851, predictive_accuracy: 0.4675, prior_entropy: 6.6439, recall: 0.4675, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3319, kappa: -0.0101, kb_relative_information_score: 47.0364, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, prior_entropy: 6.6439, relative_absolute_error: 0.9994, 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: 0.8772, 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: 0.8474, f_measure: 0.4043, kappa: 0.4122, kb_relative_information_score: 861.3991, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4121, predictive_accuracy: 0.4181, prior_entropy: 6.6439, recall: 0.4181, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9015,
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: 0.7691, 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: 0.775, 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: 0.8336, 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: 0.8477, 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: 0.8469, 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: 0.7922, 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: 0.8297, 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: 0.8256, 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: 0.8715, 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: 0.8664, 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: 0.8233, f_measure: 0.4547, kappa: 0.4539, kb_relative_information_score: 855.4986, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4657, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.9126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4692, kappa: -0.0044, kb_relative_information_score: 22.9632, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0056, prior_entropy: 6.6439, recall: 0.0056, relative_absolute_error: 0.9996, 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: 0.7784, kappa: 0.0152, kb_relative_information_score: 59.0759, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.025, prior_entropy: 6.6439, recall: 0.025, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.7051, kappa: 0.7052, kb_relative_information_score: 1208.6973, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7128, predictive_accuracy: 0.7081, prior_entropy: 6.6439, recall: 0.7081, relative_absolute_error: 0.3446, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.6581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.3489, kappa: 0.3674, kb_relative_information_score: 831.1697, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3549, predictive_accuracy: 0.3738, prior_entropy: 6.6439, recall: 0.3738, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.8904,
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: 0.4658, kappa: 0.0025, kb_relative_information_score: 23.1686, 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: 0.9996, 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: 0.8593, 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: 0.9815, f_measure: 0.6577, kappa: 0.666, kb_relative_information_score: 1103.7516, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.6648, predictive_accuracy: 0.6694, prior_entropy: 6.6439, recall: 0.6694, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.7647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.7296, kappa: 0.7443, kb_relative_information_score: 1088.9442, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7491, predictive_accuracy: 0.7469, prior_entropy: 6.6439, recall: 0.7469, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.7786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.3862, kappa: 0.4015, kb_relative_information_score: 850.9275, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3974, predictive_accuracy: 0.4075, prior_entropy: 6.6439, recall: 0.4075, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.4488, kappa: 0.4438, kb_relative_information_score: 865.0876, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4636, predictive_accuracy: 0.4494, prior_entropy: 6.6439, recall: 0.4494, relative_absolute_error: 0.6107, 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: 0.8608, 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: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.4757, kappa: 0.4665, kb_relative_information_score: 830.3295, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4917, predictive_accuracy: 0.4719, prior_entropy: 6.6439, recall: 0.4719, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7172, kappa: 0.7348, kb_relative_information_score: 971.6344, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7464, predictive_accuracy: 0.7375, prior_entropy: 6.6439, recall: 0.7375, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.8499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, kappa: 0.6641, kb_relative_information_score: 942.0109, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6675, prior_entropy: 6.6439, recall: 0.6675, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.3876, kappa: 0.4021, kb_relative_information_score: 849.8072, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4009, predictive_accuracy: 0.4081, prior_entropy: 6.6439, recall: 0.4081, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.907,

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