Task
Supervised Classification on dresses-sales

Supervised Classification on dresses-sales

Task 125920 Supervised Classification dresses-sales 16941 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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16941 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.5484, kappa: 0.0985, kb_relative_information_score: 12.5287, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.581, predictive_accuracy: 0.596, prior_entropy: 0.9816, recall: 0.596, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5381, kb_relative_information_score: 1.3975, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.205, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 28.0298, mean_absolute_error: 0.4623, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5175, root_relative_squared_error: 1.0486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.2448, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.6862, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5849, f_measure: 0.5763, kappa: 0.1322, kb_relative_information_score: 5.3377, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5866, predictive_accuracy: 0.6, prior_entropy: 0.9816, recall: 0.6, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, kb_relative_information_score: -2.7589, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, kb_relative_information_score: -0.9224, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.0493, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5484, kb_relative_information_score: 5.5527, mean_absolute_error: 0.4828, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, kb_relative_information_score: 0.4067, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.6837, mean_absolute_error: 0.4793, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.496, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.1824, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, kb_relative_information_score: -2.7111, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, kb_relative_information_score: 1.1843, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.2181, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.4185, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0128, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.4406, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.67, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.6614, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0131, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.61, kb_relative_information_score: 0.4542, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.3689, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.539, f_measure: 0.5477, kappa: 0.0662, kb_relative_information_score: -5.6567, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5466, predictive_accuracy: 0.56, prior_entropy: 0.9816, recall: 0.56, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.5033, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, kb_relative_information_score: 8.2003, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 25.9198, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, f_measure: 0.5797, kappa: 0.1325, kb_relative_information_score: 2.6753, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.578, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.1083, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, kb_relative_information_score: -1.881, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.5882, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.0335, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0085, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.739, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.1683, mean_absolute_error: 0.468, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9605, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.4273, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.7181, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5791, kb_relative_information_score: 6.038, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.0642, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, kb_relative_information_score: 0.5362, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.4835, kappa: 0.0257, kb_relative_information_score: 27.2185, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5448, predictive_accuracy: 0.578, prior_entropy: 0.9816, recall: 0.578, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.0346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, kb_relative_information_score: -2.9678, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.2046, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.9482, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.9593, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.3933, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.5423, kappa: 0.1153, kb_relative_information_score: 4.8212, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6209, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, kb_relative_information_score: 11.5888, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9803, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.9082, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5533, kb_relative_information_score: -3.2162, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -35.7969, mean_absolute_error: 0.5112, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0491, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.7928, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.3342, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.7197, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0158, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, kb_relative_information_score: 1.6723, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, kb_relative_information_score: 2.8031, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5333, kb_relative_information_score: 1.3551, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, kb_relative_information_score: -5.1362, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.0269, mean_absolute_error: 0.4848, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5817, f_measure: 0.5452, kappa: 0.1062, kb_relative_information_score: 32.444, mean_absolute_error: 0.4584, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5973, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, kb_relative_information_score: 9.7533, mean_absolute_error: 0.479, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9831, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.4785, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.512, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.3426, mean_absolute_error: 0.4838, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.9804, mean_absolute_error: 0.4878, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6098, kb_relative_information_score: 3.5336, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.3622, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.614, f_measure: 0.5346, kappa: 0.1101, kb_relative_information_score: 13.4597, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6291, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, kb_relative_information_score: 4.8891, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, f_measure: 0.6075, kappa: 0.1983, kb_relative_information_score: 32.4981, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6261, predictive_accuracy: 0.632, prior_entropy: 0.9816, recall: 0.632, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.182, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.5084, kappa: -0.0097, kb_relative_information_score: 3.175, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5076, predictive_accuracy: 0.532, prior_entropy: 0.9816, recall: 0.532, relative_absolute_error: 0.9867, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5437, root_relative_squared_error: 1.1016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.453, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.2849, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.5098, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4967, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6329, kb_relative_information_score: 2.3901, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5.3107, mean_absolute_error: 0.4904, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.494, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -32.7961, mean_absolute_error: 0.5089, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0444, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.5874, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0105, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.6919, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.1906, mean_absolute_error: 0.4797, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -29.0052, mean_absolute_error: 0.5061, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0386, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, kb_relative_information_score: 3.5322, mean_absolute_error: 0.4844, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.9431, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1792, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.7818, mean_absolute_error: 0.4775, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, kb_relative_information_score: 1.8303, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.2271, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -32.0002, mean_absolute_error: 0.5083, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0432, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.1635, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.1759, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0204, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.5327, mean_absolute_error: 0.4887, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 34.8671, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9343, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5325, root_relative_squared_error: 1.0788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.6568, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.0857, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.551, kb_relative_information_score: -3.4987, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4933, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5954, kb_relative_information_score: 5.7353, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.4464, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.494, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.9771, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.6409, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 16.9535, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0163,

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

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