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: 0.98, kappa: 0.5328, kb_relative_information_score: 821.8179, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.5375, prior_entropy: 6.6439, recall: 0.5375, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0876, root_relative_squared_error: 0.8801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4624, kappa: -0.0025, kb_relative_information_score: 31.347, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4649, kb_relative_information_score: 33.7093, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kappa: 0.0013, kb_relative_information_score: 14.5474, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6124, kappa: 0.0631, kb_relative_information_score: 171.7597, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0725, prior_entropy: 6.6439, recall: 0.0725, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4369, kappa: -0.0013, kb_relative_information_score: 15.8333, 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: 1.0001, 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: 0.8603, kappa: 0.2506, kb_relative_information_score: 439.3946, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2581, prior_entropy: 6.6439, recall: 0.2581, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, kappa: 0.0947, kb_relative_information_score: 80.2977, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1038, prior_entropy: 6.6439, recall: 0.1038, relative_absolute_error: 0.996, 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: 0.4288, kappa: -0.0038, kb_relative_information_score: 6.159, 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: 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: 0.4548, kb_relative_information_score: 25.4021, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, kappa: 0.3087, kb_relative_information_score: 528.2118, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3156, prior_entropy: 6.6439, recall: 0.3156, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4487, kb_relative_information_score: 27.5791, 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: 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: 0.4712, kb_relative_information_score: 34.0683, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kappa: 0.0013, kb_relative_information_score: 14.5474, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: 76.8151, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0999, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, kappa: -0.0044, kb_relative_information_score: 54.4175, 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: 0.9991, 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: 0.473, kb_relative_information_score: 40.8935, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 12.5431, 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: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 12.5431, 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: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.5073, kappa: 0.5057, kb_relative_information_score: 979.2044, mean_absolute_error: 0.0129, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5214, predictive_accuracy: 0.5106, prior_entropy: 6.6439, recall: 0.5106, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.5431, 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: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5023, kappa: 0.0038, kb_relative_information_score: 18.5562, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0138, prior_entropy: 6.6439, recall: 0.0138, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1404, root_relative_squared_error: 1.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4263, kappa: -0.0038, kb_relative_information_score: 8.3726, 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: 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: 0.4806, kappa: -0.0013, kb_relative_information_score: 51.7163, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4313, kappa: -0.0038, kb_relative_information_score: 14.6693, 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: 1.0001, 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: 0.5041, kappa: 0.0082, kb_relative_information_score: 25.5714, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0181, prior_entropy: 6.6439, recall: 0.0181, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1401, root_relative_squared_error: 1.4084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, kappa: -0.0038, kb_relative_information_score: 19.8859, 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: 1.0001, 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: 0.479, kb_relative_information_score: 50.9945, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, kappa: 0.0076, kb_relative_information_score: 24.5693, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0175, prior_entropy: 6.6439, recall: 0.0175, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1402, root_relative_squared_error: 1.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4722, kb_relative_information_score: 46.0143, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4641, kappa: -0.0025, kb_relative_information_score: 35.7301, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4702, kappa: -0.0013, kb_relative_information_score: 37.7947, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, kappa: 0.4628, kb_relative_information_score: 877.9647, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4681, prior_entropy: 6.6439, recall: 0.4681, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.085, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, kb_relative_information_score: 78.5836, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0999, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4376, kappa: -0.0038, kb_relative_information_score: 12.2988, 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: 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: 0.4283, kappa: -0.0038, kb_relative_information_score: 10.4444, 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: 1.0001, 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: 0.4996, kb_relative_information_score: 12.5431, 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: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, kb_relative_information_score: 40.8352, 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: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4823, kb_relative_information_score: 38.1266, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, kappa: 0.4003, kb_relative_information_score: 644.4458, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4063, prior_entropy: 6.6439, recall: 0.4063, relative_absolute_error: 0.9083, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.9239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, kappa: 0.4293, kb_relative_information_score: 765.6173, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.435, prior_entropy: 6.6439, recall: 0.435, relative_absolute_error: 0.8794, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4601, kappa: -0.0088, kb_relative_information_score: 58.6208, 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: 0.9991, 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: 0.5615, kappa: 0.0543, kb_relative_information_score: 66.8198, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0638, prior_entropy: 6.6439, recall: 0.0638, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7298, kappa: 0.0587, kb_relative_information_score: 78.6434, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0681, prior_entropy: 6.6439, recall: 0.0681, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0993, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4626, kappa: -0.0025, kb_relative_information_score: 33.7125, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.474, kb_relative_information_score: 39.5919, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4487, kappa: -0.0025, kb_relative_information_score: 17.7774, 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: 1.0001, 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: 0.5, kb_relative_information_score: 12.5431, 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: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4477, kappa: -0.0025, kb_relative_information_score: 22.7249, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kappa: 0.0013, kb_relative_information_score: 14.5474, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4763, kb_relative_information_score: 49.5439, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, kappa: 0.3636, kb_relative_information_score: 718.9053, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.37, prior_entropy: 6.6439, recall: 0.37, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5114, kappa: 0.0227, kb_relative_information_score: 48.6216, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0325, prior_entropy: 6.6439, recall: 0.0325, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1391, root_relative_squared_error: 1.3981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4361, kappa: -0.0013, kb_relative_information_score: 19.0351, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.5431, 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: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 12.5431, 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: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.781, kappa: 0.7765, kb_relative_information_score: 968.8696, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7904, predictive_accuracy: 0.7788, prior_entropy: 6.6439, recall: 0.7788, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0837, root_relative_squared_error: 0.8415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kappa: 0.0013, kb_relative_information_score: 14.5474, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kappa: -0.0013, kb_relative_information_score: 10.5387, 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: 1.0013, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1408, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4359, kb_relative_information_score: 11.3817, 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: 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: 0.4449, kappa: -0.0013, kb_relative_information_score: 19.241, 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: 1.0001, 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: 0.4629, kappa: -0.0025, kb_relative_information_score: 34.77, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7542, kappa: 0.1471, kb_relative_information_score: 334.7913, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1556, prior_entropy: 6.6439, recall: 0.1556, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 12.5431, 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: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4816, kb_relative_information_score: 42.1024, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, kappa: -0.0013, kb_relative_information_score: 70.4998, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0998, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4298, kappa: -0.0038, kb_relative_information_score: 7.4467, 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: 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: 0.4985, kappa: -0.0013, kb_relative_information_score: 99.0754, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1002, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, kb_relative_information_score: 72.1218, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0998, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, kappa: 0.3245, kb_relative_information_score: 643.6348, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3313, prior_entropy: 6.6439, recall: 0.3313, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0923, root_relative_squared_error: 0.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4702, kb_relative_information_score: 40.3489, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5212, kappa: 0.029, kb_relative_information_score: 75.261, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0388, prior_entropy: 6.6439, recall: 0.0388, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4364, kappa: -0.0025, kb_relative_information_score: 11.0749, 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: 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: 0.426, kappa: -0.0038, kb_relative_information_score: 9.3235, 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: 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: 0.9192, kappa: 0.358, kb_relative_information_score: 573.5958, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3644, prior_entropy: 6.6439, recall: 0.3644, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.428, kappa: -0.0013, kb_relative_information_score: 13.1831, 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: 1.0001, 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: 0.4646, kb_relative_information_score: 34.0152, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0996, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, kappa: 0.0398, kb_relative_information_score: 75.6806, mean_absolute_error: 0.019, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0494, prior_entropy: 6.6439, recall: 0.0494, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1379, root_relative_squared_error: 1.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kappa: -0.0025, kb_relative_information_score: 8.5343, 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: 1.0025, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1409, root_relative_squared_error: 1.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, kappa: 0.0126, kb_relative_information_score: 32.5867, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0225, prior_entropy: 6.6439, recall: 0.0225, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1398, root_relative_squared_error: 1.4053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, kappa: 0.1168, kb_relative_information_score: 193.0671, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.1256, prior_entropy: 6.6439, recall: 0.1256, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.9901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5114, kappa: 0.0227, kb_relative_information_score: 48.6216, mean_absolute_error: 0.0193, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0325, prior_entropy: 6.6439, recall: 0.0325, relative_absolute_error: 0.9773, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1391, root_relative_squared_error: 1.3981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, kappa: 0.2431, kb_relative_information_score: 311.9692, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.2506, prior_entropy: 6.6439, recall: 0.2506, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0978, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.5456, kappa: 0.5694, kb_relative_information_score: 675.2994, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.5874, predictive_accuracy: 0.5738, prior_entropy: 6.6439, recall: 0.5738, relative_absolute_error: 0.9251, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4301, kb_relative_information_score: 26.9069, 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: 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: 0.4258, kappa: -0.0038, kb_relative_information_score: 9.6815, 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: 1.0001, 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: 0.4482, kb_relative_information_score: 27.8934, 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: 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: 0.5098, kappa: 0.0196, kb_relative_information_score: 43.6107, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0294, prior_entropy: 6.6439, recall: 0.0294, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1393, root_relative_squared_error: 1.4003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, kappa: -0.0025, kb_relative_information_score: 59.5089, 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: 0.999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4434, kappa: -0.0025, kb_relative_information_score: 16.2491, 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: 1.0001, 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: 0.4997, kb_relative_information_score: 12.5431, 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: 1, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1407, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, kappa: -0.0013, kb_relative_information_score: 10.5387, 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: 1.0013, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1408, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4841, kb_relative_information_score: 55.284, 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: 1.0001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0997, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kappa: 0.0013, kb_relative_information_score: 14.5474, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kappa: 0.0013, kb_relative_information_score: 14.5474, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.0113, prior_entropy: 6.6439, recall: 0.0113, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.1406, root_relative_squared_error: 1.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, kappa: 0.6136, kb_relative_information_score: 1052.8867, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.6175, prior_entropy: 6.6439, recall: 0.6175, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.08, root_relative_squared_error: 0.8038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.7524, kappa: 0.7525, kb_relative_information_score: 1231.3777, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7602, predictive_accuracy: 0.755, prior_entropy: 6.6439, recall: 0.755, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0665, root_relative_squared_error: 0.6685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.7116, kappa: 0.7254, kb_relative_information_score: 1017.9995, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7375, predictive_accuracy: 0.7281, prior_entropy: 6.6439, recall: 0.7281, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.8283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.7421, kappa: 0.7519, kb_relative_information_score: 1051.5561, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.7636, predictive_accuracy: 0.7544, prior_entropy: 6.6439, recall: 0.7544, relative_absolute_error: 0.7679, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0803, root_relative_squared_error: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.4165, kappa: 0.4236, kb_relative_information_score: 861.5784, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4194, predictive_accuracy: 0.4294, prior_entropy: 6.6439, recall: 0.4294, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9028,

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

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Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs