Task
Supervised Classification on mushroom

Supervised Classification on mushroom

Task 24 Supervised Classification mushroom 15319 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_70 under100k under1m
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15319 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9852, kappa: 0.9704, kb_relative_information_score: 0.656, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9856, predictive_accuracy: 0.9852, prior_entropy: 0.9991, recall: 0.9852, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.7416, kappa: 0.494, kb_relative_information_score: 0.4392, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.7792, predictive_accuracy: 0.7504, prior_entropy: 0.9991, recall: 0.7504, relative_absolute_error: 0.6039, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.7471, kappa: 0.5058, kb_relative_information_score: 0.1061, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.7886, predictive_accuracy: 0.7563, prior_entropy: 0.9991, recall: 0.7563, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 0.992, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, relative_absolute_error: 0.0107, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0179, root_relative_squared_error: 0.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 0.2426, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.7652, kappa: 0.5305, kb_relative_information_score: 0.1791, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.7662, predictive_accuracy: 0.7651, prior_entropy: 0.9991, recall: 0.7651, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.7652, kappa: 0.5305, kb_relative_information_score: 0.1791, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.7662, predictive_accuracy: 0.7651, prior_entropy: 0.9991, recall: 0.7651, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 8123.9963, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9991, recall: 1, root_mean_prior_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9527, kappa: 0.9052, kb_relative_information_score: 6199.8814, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9534, predictive_accuracy: 0.9527, prior_entropy: 0.9991, recall: 0.9527, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.3101, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.5287, kappa: 0.1937, kb_relative_information_score: 231.3419, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.7771, predictive_accuracy: 0.6087, prior_entropy: 0.9991, recall: 0.6087, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4897, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 4.0885, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -7.4777, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8943, kappa: 0.7897, kb_relative_information_score: 5171.9544, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9009, predictive_accuracy: 0.8945, prior_entropy: 0.9991, recall: 0.8945, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.5221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, kb_relative_information_score: 75.2217, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 3.5326, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -6.0348, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, kb_relative_information_score: 53.9541, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 10.9022, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.3846, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 765.7906, mean_absolute_error: 0.4652, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.964, kappa: 0.9279, kb_relative_information_score: 1872.4874, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.965, predictive_accuracy: 0.9641, prior_entropy: 0.9991, recall: 0.9641, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.059, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 2.119, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -12.3992, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -3.0119, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, kb_relative_information_score: 105.968, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.1582, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1.0269, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4713, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9852, kappa: 0.9704, kb_relative_information_score: 6975.5398, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9856, predictive_accuracy: 0.9852, prior_entropy: 0.9991, recall: 0.9852, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.2631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.5413, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9756, kappa: 0.9512, kb_relative_information_score: 7105.9839, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9756, predictive_accuracy: 0.9756, prior_entropy: 0.9991, recall: 0.9756, relative_absolute_error: 0.1465, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.156, root_relative_squared_error: 0.3122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 5.9276, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9734, kappa: 0.9467, kb_relative_information_score: 5576.38, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 0.9991, recall: 0.9734, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, kb_relative_information_score: 513.0651, mean_absolute_error: 0.4759, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4776, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, kb_relative_information_score: 375.9649, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 3.6734, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 8.4459, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 4.0308, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -1.3011, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.902, kappa: 0.8044, kb_relative_information_score: 1543.0179, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9131, predictive_accuracy: 0.9029, prior_entropy: 0.9991, recall: 0.9029, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.7215, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -9.7216, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.0256, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8102, kappa: 0.6199, kb_relative_information_score: 470.5167, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8112, predictive_accuracy: 0.8106, prior_entropy: 0.9991, recall: 0.8106, relative_absolute_error: 0.9585, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3.6238, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 8.7909, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.2752, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -7.1813, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, kb_relative_information_score: 100.882, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, kb_relative_information_score: 187.1127, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 1846.8528, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.973, kappa: 0.946, kb_relative_information_score: 6584.9118, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 0.9991, recall: 0.973, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.3624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.89, kappa: 0.7814, kb_relative_information_score: 532.7683, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9104, predictive_accuracy: 0.8917, prior_entropy: 0.9991, recall: 0.8917, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.2402, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9521, kappa: 0.9042, kb_relative_information_score: 4893.1268, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9528, predictive_accuracy: 0.9521, prior_entropy: 0.9991, recall: 0.9521, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.5329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.8884, kappa: 0.7784, kb_relative_information_score: 685.5725, mean_absolute_error: 0.4691, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9094, predictive_accuracy: 0.8902, prior_entropy: 0.9991, recall: 0.8902, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.826, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.5403, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.884, kb_relative_information_score: 38.301, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.9158, kappa: 0.8316, kb_relative_information_score: 3436.1514, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9197, predictive_accuracy: 0.9162, prior_entropy: 0.9991, recall: 0.9162, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.6863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 27.3208, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.8833, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -1.9512, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8702, kappa: 0.7401, kb_relative_information_score: 3086.8668, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8731, predictive_accuracy: 0.8706, prior_entropy: 0.9991, recall: 0.8706, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, kb_relative_information_score: 100.8327, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4954, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.7466, kappa: 0.4935, kb_relative_information_score: 807.3852, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.7479, predictive_accuracy: 0.7466, prior_entropy: 0.9991, recall: 0.7466, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 1.6174, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -41.7807, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.482, prior_entropy: 0.9991, recall: 0.482, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 1.1736, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 2.7181, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -7.5768, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9498, kappa: 0.8996, kb_relative_information_score: 4304.6132, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9506, predictive_accuracy: 0.9498, prior_entropy: 0.9991, recall: 0.9498, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2917, root_relative_squared_error: 0.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5173.5194, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.4128, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.5206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.7885, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 5.1653, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.3573, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9175, kappa: 0.8354, kb_relative_information_score: 1914.0904, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9294, predictive_accuracy: 0.9183, prior_entropy: 0.9991, recall: 0.9183, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -0.4229, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -9.3819, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9632, kappa: 0.9262, kb_relative_information_score: 1973.5645, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9637, predictive_accuracy: 0.9632, prior_entropy: 0.9991, recall: 0.9632, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 7.3478, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -7.0576, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 573.0743, mean_absolute_error: 0.4738, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4748, root_relative_squared_error: 0.9501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, kb_relative_information_score: 5.666, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4996, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 3.1745, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.9417, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -0.4754, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 1.3583, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -5.2289, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.7979, kappa: 0.6055, kb_relative_information_score: 365.7329, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8476, predictive_accuracy: 0.8055, prior_entropy: 0.9991, recall: 0.8055, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.7615, kappa: 0.5432, kb_relative_information_score: 280.6583, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8434, predictive_accuracy: 0.7756, prior_entropy: 0.9991, recall: 0.7756, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9458, kappa: 0.8913, kb_relative_information_score: 6286.0531, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9468, predictive_accuracy: 0.9458, prior_entropy: 0.9991, recall: 0.9458, relative_absolute_error: 0.2567, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.215, root_relative_squared_error: 0.4302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.9685, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 10.4978, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -10.888, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -1.8917, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.7845, kappa: 0.5837, kb_relative_information_score: 604.4191, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8532, predictive_accuracy: 0.7952, prior_entropy: 0.9991, recall: 0.7952, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 1948.475, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.8133, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8261,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs