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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1538 Runs

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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: 0.499, f_measure: 0.336, kappa: -0.0005, kb_relative_information_score: -0.0003, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, weighted_recall: 0.4997, number_of_instances: 3848, precision: 0.4807, predictive_accuracy: 0.4997, prior_entropy: 1, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5509, root_relative_squared_error: 1.1018, unweighted_recall: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.489, f_measure: 0.4948, kappa: -0.0104, kb_relative_information_score: -0.0006, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.5, weighted_recall: 0.4948, number_of_instances: 3848, precision: 0.4948, predictive_accuracy: 0.4948, prior_entropy: 1, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, unweighted_recall: 0.4948,
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: 0.4798, f_measure: 0.4904, kappa: -0.0156, kb_relative_information_score: -0.0003, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, weighted_recall: 0.4922, number_of_instances: 3848, precision: 0.4921, predictive_accuracy: 0.4922, prior_entropy: 1, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, unweighted_recall: 0.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4903, f_measure: 0.4938, kappa: -0.0088, kb_relative_information_score: -0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.4956, number_of_instances: 3848, precision: 0.4955, predictive_accuracy: 0.4956, prior_entropy: 1, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0001, unweighted_recall: 0.4956,
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: 0.4919, f_measure: 0.4934, kappa: -0.0109, kb_relative_information_score: -0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.4945, number_of_instances: 3848, precision: 0.4945, predictive_accuracy: 0.4945, prior_entropy: 1, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, unweighted_recall: 0.4945,
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: 0.506, 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: 0.703, root_relative_squared_error: 1.406, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, f_measure: 0.5083, kappa: 0.0166, kb_relative_information_score: 0.0166, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.5, weighted_recall: 0.5083, number_of_instances: 3848, precision: 0.5083, predictive_accuracy: 0.5083, prior_entropy: 1, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4024, unweighted_recall: 0.5083,
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, 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, 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, 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, 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, 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, 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, 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, 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: 0.4821, f_measure: 0.3339, kappa: 0.0005, kb_relative_information_score: -0.0003, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, weighted_recall: 0.5003, number_of_instances: 3848, precision: 0.7501, predictive_accuracy: 0.5003, prior_entropy: 1, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0007, unweighted_recall: 0.5003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4862, f_measure: 0.4244, kappa: 0.0005, kb_relative_information_score: 0.0003, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, weighted_recall: 0.5003, number_of_instances: 3848, precision: 0.5005, predictive_accuracy: 0.5003, 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: 0.5003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4899, f_measure: 0.4955, kappa: -0.0083, kb_relative_information_score: -0.002, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, weighted_recall: 0.4958, number_of_instances: 3848, precision: 0.4958, predictive_accuracy: 0.4958, prior_entropy: 1, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0029, unweighted_recall: 0.4958,
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: 0.503, f_measure: 0.4613, kappa: 0.0057, kb_relative_information_score: 0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.5029, number_of_instances: 3848, precision: 0.5041, predictive_accuracy: 0.5029, prior_entropy: 1, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.5029,
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: 0.4889, f_measure: 0.4945, kappa: -0.0109, kb_relative_information_score: -0.0006, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.5, weighted_recall: 0.4945, number_of_instances: 3848, precision: 0.4945, predictive_accuracy: 0.4945, prior_entropy: 1, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0006, unweighted_recall: 0.4945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4954, kappa: -0.0088, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.4956, number_of_instances: 3848, precision: 0.4956, predictive_accuracy: 0.4956, 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: 0.4956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.3369, kappa: -0.0026, kb_relative_information_score: -0.0026, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.5, weighted_recall: 0.4987, number_of_instances: 3848, precision: 0.4453, predictive_accuracy: 0.4987, prior_entropy: 1, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.708, root_relative_squared_error: 1.416, unweighted_recall: 0.4987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.49, kappa: -0.0114, kb_relative_information_score: -0.0003, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, weighted_recall: 0.4943, number_of_instances: 3848, precision: 0.4941, predictive_accuracy: 0.4943, prior_entropy: 1, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0018, unweighted_recall: 0.4943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3721, kappa: -0.0005, kb_relative_information_score: -0.0002, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, weighted_recall: 0.4997, number_of_instances: 3848, precision: 0.4986, predictive_accuracy: 0.4997, prior_entropy: 1, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0487, unweighted_recall: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.487, f_measure: 0.4864, kappa: -0.027, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.4865, number_of_instances: 3848, precision: 0.4865, predictive_accuracy: 0.4865, 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: 0.4865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4906, f_measure: 0.4906, kappa: -0.0187, kb_relative_information_score: -0.0187, mean_absolute_error: 0.5094, mean_prior_absolute_error: 0.5, weighted_recall: 0.4906, number_of_instances: 3848, precision: 0.4906, predictive_accuracy: 0.4906, prior_entropy: 1, relative_absolute_error: 1.0187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7137, root_relative_squared_error: 1.4274, unweighted_recall: 0.4906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3356, kappa: 0.0021, kb_relative_information_score: 0.001, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.5, weighted_recall: 0.501, number_of_instances: 3848, precision: 0.7503, predictive_accuracy: 0.501, prior_entropy: 1, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0919, unweighted_recall: 0.501,
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: 0.5011, 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: 0.5148, f_measure: 0.5148, kappa: 0.0296, kb_relative_information_score: 0.0296, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.5, weighted_recall: 0.5148, number_of_instances: 3848, precision: 0.5148, predictive_accuracy: 0.5148, prior_entropy: 1, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6966, root_relative_squared_error: 1.3931, unweighted_recall: 0.5148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.4939, kappa: -0.0021, kb_relative_information_score: -0.0021, mean_absolute_error: 0.501, 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: 1.0021, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7078, root_relative_squared_error: 1.4157, unweighted_recall: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.494, kappa: -0.012, kb_relative_information_score: -0.012, mean_absolute_error: 0.506, mean_prior_absolute_error: 0.5, weighted_recall: 0.494, number_of_instances: 3848, precision: 0.494, predictive_accuracy: 0.494, prior_entropy: 1, relative_absolute_error: 1.012, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7113, root_relative_squared_error: 1.4226, unweighted_recall: 0.494,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4806, f_measure: 0.4821, kappa: -0.0353, kb_relative_information_score: -0.0003, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, weighted_recall: 0.4823, number_of_instances: 3848, precision: 0.4823, predictive_accuracy: 0.4823, prior_entropy: 1, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, unweighted_recall: 0.4823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.5044, kappa: 0.0088, kb_relative_information_score: 0.0088, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.5, weighted_recall: 0.5044, number_of_instances: 3848, precision: 0.5044, predictive_accuracy: 0.5044, prior_entropy: 1, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.704, root_relative_squared_error: 1.408, unweighted_recall: 0.5044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.4903, kappa: -0.0192, kb_relative_information_score: -0.0003, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, weighted_recall: 0.4904, number_of_instances: 3848, precision: 0.4904, predictive_accuracy: 0.4904, prior_entropy: 1, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, unweighted_recall: 0.4904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, f_measure: 0.3825, kappa: -0.0146, kb_relative_information_score: -0.0012, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.5, weighted_recall: 0.4927, number_of_instances: 3848, precision: 0.4745, predictive_accuracy: 0.4927, prior_entropy: 1, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0016, unweighted_recall: 0.4927,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5159, f_measure: 0.5158, kappa: 0.0317, kb_relative_information_score: 0.0317, mean_absolute_error: 0.4841, mean_prior_absolute_error: 0.5, weighted_recall: 0.5159, number_of_instances: 3848, precision: 0.5159, predictive_accuracy: 0.5159, prior_entropy: 1, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6958, root_relative_squared_error: 1.3916, unweighted_recall: 0.5159,
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: 0.4753, f_measure: 0.4608, kappa: -0.0291, kb_relative_information_score: -0.0009, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, weighted_recall: 0.4854, number_of_instances: 3848, precision: 0.4822, predictive_accuracy: 0.4854, prior_entropy: 1, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0012, unweighted_recall: 0.4854,
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: 0.4815, f_measure: 0.4875, kappa: -0.0244, kb_relative_information_score: -0.0005, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.5, weighted_recall: 0.4878, number_of_instances: 3848, precision: 0.4878, predictive_accuracy: 0.4878, prior_entropy: 1, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0004, unweighted_recall: 0.4878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.5, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.5, number_of_instances: 3848, precision: 0.5, 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: 0.5, 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: 0.4988, 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,

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