OpenML
Supervised Classification on pollen

Supervised Classification on pollen

Task 3735 Supervised Classification pollen 1538 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.5, number_of_instances: 3848, predictive_accuracy: 0.5, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.499, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.4924, kappa: -0.0026, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.4987, number_of_instances: 3848, precision: 0.4986, predictive_accuracy: 0.4987, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.4987,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.4973, kappa: -0.0047, kb_relative_information_score: -0.0047, mean_absolute_error: 0.5023, mean_prior_absolute_error: 0.5, weighted_recall: 0.4977, number_of_instances: 3848, precision: 0.4977, predictive_accuracy: 0.4977, prior_entropy: 1, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7088, root_relative_squared_error: 1.4175, unweighted_recall: 0.4977,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.499, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.499, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.5, number_of_instances: 3848, predictive_accuracy: 0.5, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.3538, kappa: -0.0021, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.499, number_of_instances: 3848, precision: 0.4897, predictive_accuracy: 0.499, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.5, number_of_instances: 3848, predictive_accuracy: 0.5, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.4975, kappa: -0.0047, kb_relative_information_score: -0.0004, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, weighted_recall: 0.4977, number_of_instances: 3848, precision: 0.4977, predictive_accuracy: 0.4977, prior_entropy: 1, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0005, unweighted_recall: 0.4977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, f_measure: 0.369, kappa: 0.0135, kb_relative_information_score: 0.0028, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.5, weighted_recall: 0.5068, number_of_instances: 3848, precision: 0.5533, predictive_accuracy: 0.5068, prior_entropy: 1, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, unweighted_recall: 0.5068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.499, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4946, f_measure: 0.5015, kappa: 0.0031, kb_relative_information_score: -0.0003, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, weighted_recall: 0.5016, number_of_instances: 3848, precision: 0.5016, predictive_accuracy: 0.5016, prior_entropy: 1, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0005, unweighted_recall: 0.5016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.5006, kappa: 0.0016, kb_relative_information_score: 0.0004, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, weighted_recall: 0.5008, number_of_instances: 3848, precision: 0.5008, predictive_accuracy: 0.5008, prior_entropy: 1, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9998, unweighted_recall: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.499, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5082, f_measure: 0.496, kappa: 0.0021, kb_relative_information_score: 0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.501, number_of_instances: 3848, precision: 0.5011, predictive_accuracy: 0.501, prior_entropy: 1, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, unweighted_recall: 0.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.5, number_of_instances: 3848, predictive_accuracy: 0.5, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.499, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4919, f_measure: 0.4988, kappa: -0.0021, kb_relative_information_score: -0.0004, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, weighted_recall: 0.499, number_of_instances: 3848, precision: 0.499, predictive_accuracy: 0.499, prior_entropy: 1, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0005, unweighted_recall: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.499, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, f_measure: 0.5011, kappa: 0.0036, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.5, weighted_recall: 0.5018, number_of_instances: 3848, precision: 0.5018, predictive_accuracy: 0.5018, prior_entropy: 1, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, unweighted_recall: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.5068, kappa: 0.0146, kb_relative_information_score: 0.0002, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.5, weighted_recall: 0.5073, number_of_instances: 3848, precision: 0.5073, predictive_accuracy: 0.5073, prior_entropy: 1, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0005, unweighted_recall: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.4943, kappa: -0.0088, kb_relative_information_score: -1.0227, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4955, predictive_accuracy: 0.4956, prior_entropy: 1, recall: 0.4956, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.4973, kappa: -0.0031, kb_relative_information_score: -5.26, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4984, predictive_accuracy: 0.4984, prior_entropy: 1, recall: 0.4984, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.3333, kb_relative_information_score: 22.6045, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6982, root_relative_squared_error: 1.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.3333, kb_relative_information_score: 22.6045, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6982, root_relative_squared_error: 1.3963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, f_measure: 0.4986, kappa: -0.0026, kb_relative_information_score: -6.697, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4987, predictive_accuracy: 0.4987, prior_entropy: 1, recall: 0.4987, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4823, f_measure: 0.4854, kappa: -0.0291, kb_relative_information_score: -52.4105, mean_absolute_error: 0.5056, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4854, predictive_accuracy: 0.4854, prior_entropy: 1, recall: 0.4854, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.539, root_relative_squared_error: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4809, f_measure: 0.4896, kappa: -0.0172, kb_relative_information_score: -5.6481, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4913, predictive_accuracy: 0.4914, prior_entropy: 1, recall: 0.4914, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.501, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.4934, kappa: 0.0005, kb_relative_information_score: 0.384, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5003, predictive_accuracy: 0.5003, prior_entropy: 1, recall: 0.5003, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4841, f_measure: 0.4851, kappa: -0.0296, kb_relative_information_score: -47.4585, mean_absolute_error: 0.5051, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4852, predictive_accuracy: 0.4852, prior_entropy: 1, recall: 0.4852, relative_absolute_error: 1.0103, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5418, root_relative_squared_error: 1.0837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4782, f_measure: 0.4819, kappa: -0.0291, kb_relative_information_score: -3.602, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.485, predictive_accuracy: 0.4854, prior_entropy: 1, recall: 0.4854, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, f_measure: 0.4896, kappa: -0.0208, kb_relative_information_score: -36.9132, mean_absolute_error: 0.5038, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4896, predictive_accuracy: 0.4896, prior_entropy: 1, recall: 0.4896, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5434, root_relative_squared_error: 1.0868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, f_measure: 0.4902, kappa: -0.0094, kb_relative_information_score: -37.106, mean_absolute_error: 0.5047, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4951, predictive_accuracy: 0.4953, prior_entropy: 1, recall: 0.4953, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5538, root_relative_squared_error: 1.1075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.493, kappa: -0.0062, kb_relative_information_score: -1.0716, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4968, predictive_accuracy: 0.4969, prior_entropy: 1, recall: 0.4969, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.506, kappa: 0.012, kb_relative_information_score: -8.2487, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.506, predictive_accuracy: 0.506, prior_entropy: 1, recall: 0.506, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4837, f_measure: 0.4846, kappa: -0.0307, kb_relative_information_score: -52.0472, mean_absolute_error: 0.5056, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4847, predictive_accuracy: 0.4847, prior_entropy: 1, recall: 0.4847, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5524, root_relative_squared_error: 1.1047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4841, f_measure: 0.4851, kappa: -0.0296, kb_relative_information_score: -53.1297, mean_absolute_error: 0.5059, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4852, predictive_accuracy: 0.4852, prior_entropy: 1, recall: 0.4852, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.554, root_relative_squared_error: 1.1079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4919, f_measure: 0.4891, kappa: -0.0218, kb_relative_information_score: -16.3005, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4891, predictive_accuracy: 0.4891, prior_entropy: 1, recall: 0.4891, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.519, root_relative_squared_error: 1.0379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4771, f_measure: 0.4852, kappa: -0.0255, kb_relative_information_score: -8.0072, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4871, predictive_accuracy: 0.4873, prior_entropy: 1, recall: 0.4873, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4912, f_measure: 0.4906, kappa: -0.0187, kb_relative_information_score: -4.2538, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4906, predictive_accuracy: 0.4906, prior_entropy: 1, recall: 0.4906, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5706, root_relative_squared_error: 1.1412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.4828, kappa: -0.0343, kb_relative_information_score: -23.5792, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4828, predictive_accuracy: 0.4828, prior_entropy: 1, recall: 0.4828, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.52, root_relative_squared_error: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4771, f_measure: 0.4854, kappa: -0.0249, kb_relative_information_score: -8.005, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4873, predictive_accuracy: 0.4875, prior_entropy: 1, recall: 0.4875, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.5011, kappa: 0.0036, kb_relative_information_score: 14, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.5018, predictive_accuracy: 0.5018, prior_entropy: 1, recall: 0.5018, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7058, root_relative_squared_error: 1.4116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -8, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7078, root_relative_squared_error: 1.4157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4781, f_measure: 0.4837, kappa: -0.0317, kb_relative_information_score: -9.7809, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4841, predictive_accuracy: 0.4841, prior_entropy: 1, recall: 0.4841, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0033, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4989, predictive_accuracy: 0.499, prior_entropy: 1, recall: 0.499, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.492, kappa: -0.0104, kb_relative_information_score: -40, mean_absolute_error: 0.5052, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4947, predictive_accuracy: 0.4948, prior_entropy: 1, recall: 0.4948, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7108, root_relative_squared_error: 1.4215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4771, f_measure: 0.4854, kappa: -0.0249, kb_relative_information_score: -8.005, mean_absolute_error: 0.5007, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4873, predictive_accuracy: 0.4875, prior_entropy: 1, recall: 0.4875, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.4645, kappa: -0.0005, kb_relative_information_score: 0.1893, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4996, predictive_accuracy: 0.4997, prior_entropy: 1, recall: 0.4997, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, f_measure: 0.4861, kappa: -0.0198, kb_relative_information_score: -29.562, mean_absolute_error: 0.5034, mean_prior_absolute_error: 0.5, number_of_instances: 3848, precision: 0.4898, predictive_accuracy: 0.4901, prior_entropy: 1, recall: 0.4901, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5395, root_relative_squared_error: 1.079,

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