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: 0.5, kb_relative_information_score: 0.0073, 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: 1, 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: 9.8277, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0052,
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: -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: 16.2234, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5346, f_measure: 0.5294, kappa: 0.0305, kb_relative_information_score: 5.8403, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5277, predictive_accuracy: 0.532, prior_entropy: 0.9816, recall: 0.532, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, kb_relative_information_score: -5.0382, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, f_measure: 0.424, kappa: -0.008, kb_relative_information_score: 1.9806, mean_absolute_error: 0.4851, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.3354, predictive_accuracy: 0.576, prior_entropy: 0.9816, recall: 0.576, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.9281, 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: 1.6272, 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: 0.9973, 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: 11.0374, mean_absolute_error: 0.4781, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.6843, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4955, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.0777, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0098, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.6727, 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: 0.6176, f_measure: 0.5799, kappa: 0.1476, kb_relative_information_score: 31.4901, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6019, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.9471, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.5025, kappa: -0.0202, kb_relative_information_score: -13.789, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.503, predictive_accuracy: 0.502, prior_entropy: 0.9816, recall: 0.502, relative_absolute_error: 1.0131, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5864, root_relative_squared_error: 1.1881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.2745, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5367, f_measure: 0.5313, kappa: 0.0323, kb_relative_information_score: 10.2772, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5293, predictive_accuracy: 0.544, prior_entropy: 0.9816, recall: 0.544, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6268, f_measure: 0.6057, kappa: 0.1854, kb_relative_information_score: 59.836, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.605, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.887, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.4877, 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: 0.4937, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, f_measure: 0.6015, kappa: 0.1798, kb_relative_information_score: 43.5428, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6083, predictive_accuracy: 0.618, prior_entropy: 0.9816, recall: 0.618, relative_absolute_error: 0.9239, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, kb_relative_information_score: 12.2136, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9792, 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: 0.5482, f_measure: 0.543, kappa: 0.0642, kb_relative_information_score: 26.263, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5441, predictive_accuracy: 0.542, prior_entropy: 0.9816, recall: 0.542, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6324, root_relative_squared_error: 1.2813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.8157, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.498, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.9919, 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: 0.9934, 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: 0.5172, f_measure: 0.5226, kappa: 0.0264, kb_relative_information_score: -1.2651, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5281, predictive_accuracy: 0.554, prior_entropy: 0.9816, recall: 0.554, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5257, f_measure: 0.5119, kappa: 0.0354, kb_relative_information_score: -14.887, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5313, predictive_accuracy: 0.51, prior_entropy: 0.9816, recall: 0.51, relative_absolute_error: 1.0192, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.3274, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0192, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.2823, 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: 1.0205, 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: 0.5, 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: -26.9702, mean_absolute_error: 0.5046, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0356, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.5256, mean_absolute_error: 0.4794, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9839, 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: 0.5, 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: 21.8021, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9612, 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: 0.5961, kb_relative_information_score: 6.5983, 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: 0.49, root_relative_squared_error: 0.9927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.5464, kappa: 0.0774, kb_relative_information_score: 14.2457, mean_absolute_error: 0.4704, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5508, predictive_accuracy: 0.544, prior_entropy: 0.9816, recall: 0.544, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5476, root_relative_squared_error: 1.1095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.5031, kappa: 0.0051, kb_relative_information_score: -18.8988, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5154, predictive_accuracy: 0.5, prior_entropy: 0.9816, recall: 0.5, relative_absolute_error: 1.0262, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.0481, 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: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.5917, kappa: 0.1573, kb_relative_information_score: 44.6972, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5937, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1646, 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: 0.5702, f_measure: 0.5744, kappa: 0.1273, kb_relative_information_score: 30.9051, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5748, predictive_accuracy: 0.574, prior_entropy: 0.9816, recall: 0.574, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.1166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -13.6517, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.017, 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: -1.4479, 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: 1.0017, 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: -8.0602, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0098, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2176, 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: -3.71, 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: 0.4938, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.2527, 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: 0.4943, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.569, kappa: 0.1367, kb_relative_information_score: 19.0833, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6048, predictive_accuracy: 0.612, prior_entropy: 0.9816, recall: 0.612, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.023, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9983, 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: 0.5489, f_measure: 0.5465, kappa: 0.0647, kb_relative_information_score: 30.2393, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5445, predictive_accuracy: 0.55, prior_entropy: 0.9816, recall: 0.55, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5818, root_relative_squared_error: 1.1787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1251, 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: 0.5, kb_relative_information_score: -24.0504, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0313, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4565, kappa: -0.0029, kb_relative_information_score: -50.0282, mean_absolute_error: 0.53, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.511, predictive_accuracy: 0.47, prior_entropy: 0.9816, recall: 0.47, relative_absolute_error: 1.0877, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.728, root_relative_squared_error: 1.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.5965, kappa: 0.1664, kb_relative_information_score: 46.3258, mean_absolute_error: 0.445, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.596, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9132, 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: 4.0933, 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: 0.5, kb_relative_information_score: -2.7145, 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: 0.4937, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.1494, 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: 0.9846, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.4829, kappa: 0.0579, kb_relative_information_score: 32.5304, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6439, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.6629, 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: 0.5411, f_measure: 0.43, kappa: -0.0089, kb_relative_information_score: -3.6258, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.4553, predictive_accuracy: 0.574, prior_entropy: 0.9816, recall: 0.574, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.9992,
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: -1.0831, 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: 1.0013, 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: 0.9752, 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: 0.9984, 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: 41.7277, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5518, root_relative_squared_error: 1.1179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.3949, 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: 0.5862, f_measure: 0.5677, kappa: 0.1121, kb_relative_information_score: 42.2563, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5674, predictive_accuracy: 0.568, prior_entropy: 0.9816, recall: 0.568, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.532, root_relative_squared_error: 1.0778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.8182, mean_absolute_error: 0.4866, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9987, 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: 0.5496, f_measure: 0.5052, kappa: 0.0397, kb_relative_information_score: -16.1773, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5345, predictive_accuracy: 0.506, prior_entropy: 0.9816, recall: 0.506, relative_absolute_error: 1.0212, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5024, root_relative_squared_error: 1.0179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.9408, 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: 0.5605, f_measure: 0.5725, kappa: 0.1181, kb_relative_information_score: 16.773, mean_absolute_error: 0.472, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5708, predictive_accuracy: 0.576, prior_entropy: 0.9816, recall: 0.576, relative_absolute_error: 0.9687, 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: 0.5, kb_relative_information_score: 28.5773, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.0507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5161, f_measure: 0.4576, kappa: 0.0215, kb_relative_information_score: -0.0865, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5754, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.7858, 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: -20.1856, 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: 1.0259, 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: -2.3179, 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: -22.0679, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0285, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.6065, mean_absolute_error: 0.4924, 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: -6.8365, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.7361, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4956, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.046, 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: 0.5, kb_relative_information_score: -2.4664, 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: 0.5, kb_relative_information_score: 3.0635, 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: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5738, f_measure: 0.559, kappa: 0.1087, kb_relative_information_score: 16.4472, mean_absolute_error: 0.4727, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5806, predictive_accuracy: 0.596, prior_entropy: 0.9816, recall: 0.596, relative_absolute_error: 0.9702, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.413, 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: 0.5698, f_measure: 0.5018, kappa: 0.0434, kb_relative_information_score: 20.5009, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5565, predictive_accuracy: 0.582, prior_entropy: 0.9816, recall: 0.582, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9979,
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: 29.8174, mean_absolute_error: 0.4605, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9451, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.521, root_relative_squared_error: 1.0557,
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: 0.6065, f_measure: 0.5848, kappa: 0.1423, kb_relative_information_score: 36.7311, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5837, predictive_accuracy: 0.592, prior_entropy: 0.9816, recall: 0.592, relative_absolute_error: 0.931, 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: 0.5475, f_measure: 0.5222, kappa: 0.061, kb_relative_information_score: -1.478, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5614, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 1.0009, 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: 15.7178, mean_absolute_error: 0.474, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5628, f_measure: 0.5448, kappa: 0.0611, kb_relative_information_score: 12.8258, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5445, predictive_accuracy: 0.56, prior_entropy: 0.9816, recall: 0.56, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5.5956, 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: 1.0067, 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: 6.9324, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5528, f_measure: 0.4861, kappa: 0.0335, kb_relative_information_score: 11.2911, mean_absolute_error: 0.478, 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: 0.981, 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: 0.5847, f_measure: 0.5625, kappa: 0.0965, kb_relative_information_score: 29.9016, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.562, predictive_accuracy: 0.574, prior_entropy: 0.9816, recall: 0.574, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.4195, 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: 0.5935, f_measure: 0.6147, kappa: 0.2047, kb_relative_information_score: 11.461, mean_absolute_error: 0.4776, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6178, predictive_accuracy: 0.626, prior_entropy: 0.9816, recall: 0.626, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5166, f_measure: 0.515, kappa: 0.019, kb_relative_information_score: -3.7924, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5222, predictive_accuracy: 0.512, prior_entropy: 0.9816, recall: 0.512, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6727, root_relative_squared_error: 1.3629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.4762, 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,

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