Task
Supervised Classification on dresses-sales

Supervised Classification on dresses-sales

Task 125920 Supervised Classification dresses-sales 13817 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
Issue #Downvotes for this reason By


Metric:

13817 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.5429, kappa: 0.0687, kb_relative_information_score: 15.7902, mean_absolute_error: 0.4727, 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: 0.9701, 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: 1.8388, 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: 0.997, 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: -23.3865, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0304, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -46.7084, mean_absolute_error: 0.5201, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0673, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5346, root_relative_squared_error: 1.0831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.5694, kappa: 0.1186, kb_relative_information_score: 48.7433, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5792, predictive_accuracy: 0.594, prior_entropy: 0.9816, recall: 0.594, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5.4638, 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: 1.0066, 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: 4.4082, 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: 0.5557, f_measure: 0.5671, kappa: 0.1062, kb_relative_information_score: 10.8193, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5652, predictive_accuracy: 0.572, prior_entropy: 0.9816, recall: 0.572, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5095, root_relative_squared_error: 1.0324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22.8563, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0296, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.4374, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9944, 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: 1.4952, 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: 5.5596, 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: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5549, f_measure: 0.5422, kappa: 0.0552, kb_relative_information_score: 5.2153, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5412, predictive_accuracy: 0.556, prior_entropy: 0.9816, recall: 0.556, relative_absolute_error: 0.9885, 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: -24.9614, mean_absolute_error: 0.5032, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0326, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5035, root_relative_squared_error: 1.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -32.5219, mean_absolute_error: 0.5087, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.044, 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: 0.5, kb_relative_information_score: 0.8977, 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: 0.5438, f_measure: 0.4658, kappa: 0.0323, kb_relative_information_score: 8.6631, mean_absolute_error: 0.4801, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5972, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.493, root_relative_squared_error: 0.9988,
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: -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: 2.4908, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9959, 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: 1.1201, 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: 0.9982, 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: 8.0738, mean_absolute_error: 0.4807, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.4928, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5941, f_measure: 0.5782, kappa: 0.1333, kb_relative_information_score: 13.6725, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5849, predictive_accuracy: 0.598, prior_entropy: 0.9816, recall: 0.598, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.542, f_measure: 0.5518, kappa: 0.0815, kb_relative_information_score: -0.5026, mean_absolute_error: 0.4861, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5579, predictive_accuracy: 0.576, prior_entropy: 0.9816, recall: 0.576, relative_absolute_error: 0.9976, 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: 11.7018, 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: 0.9801, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.8362, 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: 0.6019, 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: -4.92, 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: 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: 6.7644, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.2386, 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: 0.993, 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: 0.6014, f_measure: 0.5795, kappa: 0.1317, kb_relative_information_score: 42.4912, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5796, predictive_accuracy: 0.59, prior_entropy: 0.9816, recall: 0.59, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.564, kappa: 0.1025, kb_relative_information_score: 16.132, mean_absolute_error: 0.4729, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5673, predictive_accuracy: 0.582, prior_entropy: 0.9816, recall: 0.582, relative_absolute_error: 0.9706, 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: 12.4298, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5337, kb_relative_information_score: 0.8629, 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: 0.998, 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: 0.647, f_measure: 0.5983, kappa: 0.1753, kb_relative_information_score: 33.3255, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6082, predictive_accuracy: 0.618, prior_entropy: 0.9816, recall: 0.618, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.7084, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9871, 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: -14.1599, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0177, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4965, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6089, f_measure: 0.5847, kappa: 0.1426, kb_relative_information_score: 48.9418, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5856, predictive_accuracy: 0.596, prior_entropy: 0.9816, recall: 0.596, relative_absolute_error: 0.9051, 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: 12.3439, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9789, 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: 0.5, kb_relative_information_score: -2.9846, 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: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2329, 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: -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: 0.5719, f_measure: 0.5468, kappa: 0.1075, kb_relative_information_score: 14.7211, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5967, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5578, f_measure: 0.5664, kappa: 0.1062, kb_relative_information_score: 41.2869, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5683, predictive_accuracy: 0.582, prior_entropy: 0.9816, recall: 0.582, relative_absolute_error: 0.9168, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5502, root_relative_squared_error: 1.1147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5666, f_measure: 0.5857, kappa: 0.1643, kb_relative_information_score: 13.3086, mean_absolute_error: 0.4777, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6171, predictive_accuracy: 0.622, prior_entropy: 0.9816, recall: 0.622, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.5914, kappa: 0.1646, kb_relative_information_score: 39.1616, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6061, predictive_accuracy: 0.616, prior_entropy: 0.9816, recall: 0.616, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4782, root_relative_squared_error: 0.9688,
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: -1.5917, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0019, 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: 5.249, 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: 0.5, kb_relative_information_score: 12.7883, 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: 0.5128, f_measure: 0.4869, kappa: 0.024, kb_relative_information_score: -27.1999, mean_absolute_error: 0.508, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5267, predictive_accuracy: 0.492, prior_entropy: 0.9816, recall: 0.492, relative_absolute_error: 1.0426, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.7127, root_relative_squared_error: 1.4441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.7243, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.5984, 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: 0.5693, f_measure: 0.5805, kappa: 0.1348, kb_relative_information_score: 14.1977, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5789, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.9732, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.499, root_relative_squared_error: 1.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.0086, 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: 0.5, 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: 0.6195, 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: -2.5453, 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: 0.4937, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.8859, 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: 0.4942, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.5959, kappa: 0.1653, kb_relative_information_score: 40.8823, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5957, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9265, 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: 0.5782, f_measure: 0.5629, kappa: 0.1037, kb_relative_information_score: 31.248, mean_absolute_error: 0.4591, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.57, predictive_accuracy: 0.586, prior_entropy: 0.9816, recall: 0.586, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.502, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.2255, 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: -9.2427, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0113, 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: 0.5, kb_relative_information_score: 9.4313, mean_absolute_error: 0.4795, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5826, f_measure: 0.5079, kappa: 0.0564, kb_relative_information_score: 19.3733, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5705, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.1852, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4948, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.508, kappa: 0.0364, kb_relative_information_score: 12.7371, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5427, predictive_accuracy: 0.574, prior_entropy: 0.9816, recall: 0.574, relative_absolute_error: 0.977, 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: 0.5614, kb_relative_information_score: -1.1617, 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: 0.4926, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, f_measure: 0.536, kappa: 0.0476, kb_relative_information_score: 7.1745, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.536, predictive_accuracy: 0.536, prior_entropy: 0.9816, recall: 0.536, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5918, root_relative_squared_error: 1.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.676, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.002, 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: -10.1139, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.495, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.5504, kappa: 0.0722, kb_relative_information_score: -0.442, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5499, predictive_accuracy: 0.564, prior_entropy: 0.9816, recall: 0.564, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5498, f_measure: 0.5165, kappa: 0.0457, kb_relative_information_score: 2.7064, mean_absolute_error: 0.4842, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5478, predictive_accuracy: 0.576, prior_entropy: 0.9816, recall: 0.576, relative_absolute_error: 0.9938, 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: 1.8956, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9969, 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: 11.3451, mean_absolute_error: 0.4779, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9807, 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: -0.4352, 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: 1.0005, 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: 0.5989, f_measure: 0.5781, kappa: 0.1478, kb_relative_information_score: 38.751, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6055, predictive_accuracy: 0.614, prior_entropy: 0.9816, recall: 0.614, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.1587, 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: 0.4953, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.5355, 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: 1.0018, 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: 0.6295, f_measure: 0.5215, kappa: 0.0865, kb_relative_information_score: 20.2043, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6057, predictive_accuracy: 0.602, prior_entropy: 0.9816, recall: 0.602, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.484, root_relative_squared_error: 0.9806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.5012, kappa: -0.0021, kb_relative_information_score: -20.4779, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5118, predictive_accuracy: 0.498, prior_entropy: 0.9816, recall: 0.498, relative_absolute_error: 1.0293, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.6985, root_relative_squared_error: 1.4152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.7455, 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: 0.9782, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.5515, kappa: 0.0768, kb_relative_information_score: 30.5541, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5536, predictive_accuracy: 0.57, prior_entropy: 0.9816, recall: 0.57, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5642, root_relative_squared_error: 1.1432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.8165, 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: -10.411, 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: -26.034, mean_absolute_error: 0.5039, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0342, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5045, root_relative_squared_error: 1.0222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.1317, mean_absolute_error: 0.4873, 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: 0.5534, f_measure: 0.5409, kappa: 0.082, kb_relative_information_score: 6.9228, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5687, predictive_accuracy: 0.588, prior_entropy: 0.9816, recall: 0.588, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.6141, 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: 0.9941, 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: 6.1645, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9898, 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: -14.4638, 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: 0.6158, f_measure: 0.5712, kappa: 0.1301, kb_relative_information_score: 27.8032, mean_absolute_error: 0.4635, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5913, predictive_accuracy: 0.604, prior_entropy: 0.9816, recall: 0.604, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9825,
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: 0.5973, f_measure: 0.5239, kappa: 0.0624, kb_relative_information_score: 18.2093, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5615, predictive_accuracy: 0.584, prior_entropy: 0.9816, recall: 0.584, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.487, root_relative_squared_error: 0.9866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.2635, mean_absolute_error: 0.4717, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.6089, 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: 0.5148, kb_relative_information_score: 2.7127, 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: 0.4942, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -33.4522, mean_absolute_error: 0.5094, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0454, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0387,

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

OpenML bootcamp

From your own software

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

OpenML APIs