OpenML
Supervised Classification on dresses-sales

Supervised Classification on dresses-sales

Task 125920 Supervised Classification dresses-sales 19176 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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19176 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.526, f_measure: 0.3443, kappa: 0.0257, kb_relative_information_score: -47.2101, mean_absolute_error: 0.5213, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5664, predictive_accuracy: 0.448, prior_entropy: 0.9816, recall: 0.448, relative_absolute_error: 1.0699, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5481, root_relative_squared_error: 1.1105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.4908, kappa: 0.0363, kb_relative_information_score: 6.8659, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5563, predictive_accuracy: 0.582, prior_entropy: 0.9816, recall: 0.582, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5498, f_measure: 0.559, kappa: 0.0927, kb_relative_information_score: -3.6524, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5623, predictive_accuracy: 0.578, prior_entropy: 0.9816, recall: 0.578, relative_absolute_error: 1.0036, 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: 0.6224, f_measure: 0.5899, kappa: 0.158, kb_relative_information_score: 43.1671, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5988, predictive_accuracy: 0.61, prior_entropy: 0.9816, recall: 0.61, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.9023, 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: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 39.6423, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.1051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.5214, kappa: 0.0775, kb_relative_information_score: 15.5589, mean_absolute_error: 0.4749, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5875, predictive_accuracy: 0.596, prior_entropy: 0.9816, recall: 0.596, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6254, f_measure: 0.5526, kappa: 0.1024, kb_relative_information_score: 21.6801, mean_absolute_error: 0.4699, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5807, predictive_accuracy: 0.596, prior_entropy: 0.9816, recall: 0.596, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.0135, 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: 0.9967, 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: 1.3668, 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: 0.5, kb_relative_information_score: -10.3625, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.7292, 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: 0.4834, f_measure: 0.4723, kappa: -0.0309, kb_relative_information_score: -47.9529, mean_absolute_error: 0.528, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.4962, predictive_accuracy: 0.472, prior_entropy: 0.9816, recall: 0.472, relative_absolute_error: 1.0836, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7266, root_relative_squared_error: 1.4722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.6865, 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: 0.573, f_measure: 0.5765, kappa: 0.1296, kb_relative_information_score: 25.9972, mean_absolute_error: 0.4644, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5827, predictive_accuracy: 0.596, prior_entropy: 0.9816, recall: 0.596, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.3274, 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: 1.0004, 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: 0.5684, kb_relative_information_score: 0.5479, 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: 0.999, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.4227, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.8177, 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: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, kb_relative_information_score: 1.4325, 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: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -27.8311, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0369, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2174, 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: 0.9996, 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: -34.2023, mean_absolute_error: 0.51, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0466, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.0407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.2305, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0151, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4855, kb_relative_information_score: -8.2596, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.01, 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: -2.4863, 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: 1.0029, 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: 0.5031, kb_relative_information_score: -3.9708, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0047, 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: 0.5435, f_measure: 0.5671, kappa: 0.1074, kb_relative_information_score: 23.1636, mean_absolute_error: 0.4635, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5654, predictive_accuracy: 0.57, prior_entropy: 0.9816, recall: 0.57, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5715, root_relative_squared_error: 1.1579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.541, f_measure: 0.4848, kappa: 0.0082, kb_relative_information_score: 3.207, mean_absolute_error: 0.4836, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5208, predictive_accuracy: 0.566, prior_entropy: 0.9816, recall: 0.566, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.291, 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: 0.9946, 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: 0.5603, f_measure: 0.5429, kappa: 0.0687, kb_relative_information_score: 16.3549, mean_absolute_error: 0.4725, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5529, predictive_accuracy: 0.574, prior_entropy: 0.9816, recall: 0.574, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.6228, 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: 0.999, 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: 10.494, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 39.6741, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9236, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.1052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.3077, 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: 1.0004, 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: 0.5392, kb_relative_information_score: 4.3626, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.5381, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9958, 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: 0.5279, f_measure: 0.4572, kappa: 0.0111, kb_relative_information_score: 14.5597, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5378, predictive_accuracy: 0.578, prior_entropy: 0.9816, recall: 0.578, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.6604, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9956, 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: 2.6819, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9956, 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: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.5796, kappa: 0.1331, kb_relative_information_score: 24.4117, mean_absolute_error: 0.4657, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.582, predictive_accuracy: 0.594, prior_entropy: 0.9816, recall: 0.594, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -101.9105, mean_absolute_error: 0.58, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.1904, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7616, root_relative_squared_error: 1.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -11.0408, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0136, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.8775, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5383, f_measure: 0.535, kappa: 0.064, kb_relative_information_score: 14.9559, mean_absolute_error: 0.4673, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5448, predictive_accuracy: 0.532, prior_entropy: 0.9816, recall: 0.532, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.683, root_relative_squared_error: 1.3838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.6247, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0007, 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: -101.9105, mean_absolute_error: 0.58, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.1904, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7616, root_relative_squared_error: 1.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.6967, 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: -22.5434, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0292, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.3933, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0016, 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: 0.5365, kb_relative_information_score: 10.7613, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.2206, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0191, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.497, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.8239, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9937, 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: 4.7703, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5567, f_measure: 0.447, kappa: 0.0235, kb_relative_information_score: 6.8926, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6893, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.4972, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0208, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.4901, 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: 0.4936, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.5145, 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: 1.0129, 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: -3.0457, 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: 1.0036, 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: 0.6257, f_measure: 0.6051, kappa: 0.1888, kb_relative_information_score: 36.58, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6152, predictive_accuracy: 0.624, prior_entropy: 0.9816, recall: 0.624, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5331, f_measure: 0.5437, kappa: 0.0601, kb_relative_information_score: 31.5607, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5422, predictive_accuracy: 0.546, prior_entropy: 0.9816, recall: 0.546, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6425, root_relative_squared_error: 1.3017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.2344, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9913, 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: 7.6068, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2039, 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: -14.7346, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, f_measure: 0.6115, kappa: 0.1975, kb_relative_information_score: 43.662, mean_absolute_error: 0.4486, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6111, predictive_accuracy: 0.618, prior_entropy: 0.9816, recall: 0.618, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -101.9105, mean_absolute_error: 0.58, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.1904, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7616, root_relative_squared_error: 1.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.769, 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: 0.4936, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5507, f_measure: 0.556, kappa: 0.0887, kb_relative_information_score: 30.7198, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.556, predictive_accuracy: 0.556, prior_entropy: 0.9816, recall: 0.556, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6316, root_relative_squared_error: 1.2798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0816, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9999, 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: 0.5891, f_measure: 0.5806, kappa: 0.1341, kb_relative_information_score: 28.0065, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5812, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.9454, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.5324, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9975, 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: -7.4537, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0945, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9998, 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: 0.6067, f_measure: 0.6046, kappa: 0.1832, kb_relative_information_score: 43.7828, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6044, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.9894, 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: 0.5822, f_measure: 0.6051, kappa: 0.1888, kb_relative_information_score: 37.6538, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6152, predictive_accuracy: 0.624, prior_entropy: 0.9816, recall: 0.624, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.2518, 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: 0.9963, 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: -8.8525, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0108, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6013, f_measure: 0.5665, kappa: 0.1087, kb_relative_information_score: 31.4184, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5712, predictive_accuracy: 0.586, prior_entropy: 0.9816, recall: 0.586, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5.47, mean_absolute_error: 0.4905, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0066, 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: 7.6057, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.8674, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.8781, 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: 1.001, 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: 3.9533, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4939, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.8112, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.113, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.862, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.9348, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0047, 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: 0.9016, 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: 0.5, kb_relative_information_score: 6.2772, 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: 0.9896, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.7569, 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: -33.6085, mean_absolute_error: 0.5095, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0457, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5129, root_relative_squared_error: 1.0391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -20.083, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0257, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.089, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.5215, kappa: 0.0144, kb_relative_information_score: 1.4067, mean_absolute_error: 0.4834, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5204, predictive_accuracy: 0.54, prior_entropy: 0.9816, recall: 0.54, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5081, root_relative_squared_error: 1.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5992, f_measure: 0.5942, kappa: 0.1619, kb_relative_information_score: 48.5061, mean_absolute_error: 0.4433, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5948, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9098, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.0323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.2825, 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: 0.9979, 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: 0.5755, f_measure: 0.5587, kappa: 0.0921, kb_relative_information_score: 37.5792, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5577, predictive_accuracy: 0.56, prior_entropy: 0.9816, recall: 0.56, relative_absolute_error: 0.9195, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5526, root_relative_squared_error: 1.1195,

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