OpenML
Supervised Classification on dresses-sales

Supervised Classification on dresses-sales

Task 125920 Supervised Classification dresses-sales 19176 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:

19176 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: 0.5, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.4828, 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: 1.0305, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.5518, kappa: 0.0747, kb_relative_information_score: 11.2715, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5509, predictive_accuracy: 0.564, prior_entropy: 0.9816, recall: 0.564, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -41.9241, mean_absolute_error: 0.5161, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0591, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5255, root_relative_squared_error: 1.0647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.0257, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0188, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.5704, 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: 2.0572, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4859, f_measure: 0.5092, kappa: -0.0128, kb_relative_information_score: -12.2363, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5065, predictive_accuracy: 0.514, prior_entropy: 0.9816, recall: 0.514, relative_absolute_error: 1.0137, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5482, root_relative_squared_error: 1.1107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.3135, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9995, 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: 0.5686, kb_relative_information_score: -0.3258, 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, 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: 0.552, f_measure: 0.5461, kappa: 0.0688, kb_relative_information_score: 19.7385, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5463, predictive_accuracy: 0.546, prior_entropy: 0.9816, recall: 0.546, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.56, root_relative_squared_error: 1.1345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.6633, 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: 0.4941, root_relative_squared_error: 1.0011,
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: 10.4053, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4964, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.3655, mean_absolute_error: 0.4854, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2019, 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: 0.561, f_measure: 0.5247, kappa: 0.0712, kb_relative_information_score: 5.9434, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5726, predictive_accuracy: 0.59, prior_entropy: 0.9816, recall: 0.59, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0626, 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: 0.5, kb_relative_information_score: -2.2813, 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: 0.5, kb_relative_information_score: -6.9865, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4942, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.6024, 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: 1.0031, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.7986, mean_absolute_error: 0.4817, 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: 10.3598, mean_absolute_error: 0.4787, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4964, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.2197, mean_absolute_error: 0.488, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4936, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.9847, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0201, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.4333, kappa: -0.0074, kb_relative_information_score: 7.6234, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.4755, predictive_accuracy: 0.574, prior_entropy: 0.9816, recall: 0.574, relative_absolute_error: 0.9874, 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: 0.8767, 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: 0.9986, 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: -6.709, mean_absolute_error: 0.4912, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0081, 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: 6.5417, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9891, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -49.8175, mean_absolute_error: 0.5227, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0728, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5412, root_relative_squared_error: 1.0966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.5103, kappa: 0.0465, kb_relative_information_score: 0.4564, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5532, 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: 0.4961, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.8873, 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: 0.6393, f_measure: 0.6168, kappa: 0.2185, kb_relative_information_score: 36.583, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6392, predictive_accuracy: 0.642, prior_entropy: 0.9816, recall: 0.642, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.478, root_relative_squared_error: 0.9684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5594, f_measure: 0.5199, kappa: 0.046, kb_relative_information_score: 3.2317, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.546, predictive_accuracy: 0.574, prior_entropy: 0.9816, recall: 0.574, relative_absolute_error: 0.9933, 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: 0.567, f_measure: 0.5434, kappa: 0.0616, kb_relative_information_score: 26.8184, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5428, predictive_accuracy: 0.544, prior_entropy: 0.9816, recall: 0.544, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -33.2657, mean_absolute_error: 0.5092, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0451, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.1375, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5938, f_measure: 0.5823, kappa: 0.1513, kb_relative_information_score: 41.7333, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5872, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.545, root_relative_squared_error: 1.1042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.5744, kappa: 0.1376, kb_relative_information_score: 28.553, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5968, predictive_accuracy: 0.608, prior_entropy: 0.9816, recall: 0.608, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, f_measure: 0.5644, kappa: 0.1002, kb_relative_information_score: 31.794, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5628, predictive_accuracy: 0.572, prior_entropy: 0.9816, recall: 0.572, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5176, root_relative_squared_error: 1.0487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.9264, 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: 0.8207, 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: 0.5, kb_relative_information_score: 13.7849, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0105,
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: 4.7635, 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: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.4976, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0194, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5623, f_measure: 0.5776, kappa: 0.1281, kb_relative_information_score: 49.1009, mean_absolute_error: 0.4392, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5786, predictive_accuracy: 0.59, prior_entropy: 0.9816, recall: 0.59, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5522, root_relative_squared_error: 1.1189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6121, f_measure: 0.5679, kappa: 0.1087, kb_relative_information_score: 32.2816, mean_absolute_error: 0.4586, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5691, predictive_accuracy: 0.582, prior_entropy: 0.9816, recall: 0.582, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4873, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -20.0193, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0256, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.1661, mean_absolute_error: 0.4763, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22.6882, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0294, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -36.6665, mean_absolute_error: 0.5119, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0505, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.0476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.7121, mean_absolute_error: 0.4826, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0017,
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: -4.4277, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4938, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.5875, kappa: 0.1488, kb_relative_information_score: 39.285, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.5893, predictive_accuracy: 0.6, prior_entropy: 0.9816, recall: 0.6, relative_absolute_error: 0.9261, 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: 0.5, kb_relative_information_score: -39.905, mean_absolute_error: 0.5144, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.42, prior_entropy: 0.9816, recall: 0.42, relative_absolute_error: 1.0558, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.5221, root_relative_squared_error: 1.0578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, f_measure: 0.6071, kappa: 0.1884, kb_relative_information_score: 54.0731, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4873, number_of_instances: 500, precision: 0.6079, predictive_accuracy: 0.616, prior_entropy: 0.9816, recall: 0.616, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4929, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5.9318, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4873, number_of_instances: 500, predictive_accuracy: 0.58, prior_entropy: 0.9816, recall: 0.58, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.4936, root_mean_squared_error: 0.4941, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22.8773, 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,

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