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: 0.4979, f_measure: 0.4974, kappa: -0.0042, kb_relative_information_score: -0.0042, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.5, weighted_recall: 0.4979, number_of_instances: 3848, precision: 0.4979, predictive_accuracy: 0.4979, prior_entropy: 1, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7086, root_relative_squared_error: 1.4172, unweighted_recall: 0.4979,
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: 0.4988, 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: 0.5047, f_measure: 0.4999, kappa: 0.0094, kb_relative_information_score: 0.0094, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.5, weighted_recall: 0.5047, number_of_instances: 3848, precision: 0.5049, predictive_accuracy: 0.5047, prior_entropy: 1, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7038, root_relative_squared_error: 1.4076, unweighted_recall: 0.5047,
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: 0.4935, f_measure: 0.336, 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: 0.4807, predictive_accuracy: 0.4997, prior_entropy: 1, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, unweighted_recall: 0.4997,
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: 0.4994, f_measure: 0.5003, kappa: 0.0005, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.5003, number_of_instances: 3848, precision: 0.5003, predictive_accuracy: 0.5003, 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: 0.5003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.4638, kb_relative_information_score: 0.0003, mean_absolute_error: 0.4999, 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: 0.9997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.0999, unweighted_recall: 0.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, f_measure: 0.49, kappa: -0.0198, kb_relative_information_score: -0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.4901, number_of_instances: 3848, precision: 0.4901, predictive_accuracy: 0.4901, 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: 0.4901,
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: 0.4962, f_measure: 0.3356, kappa: 0.0021, kb_relative_information_score: 0.001, mean_absolute_error: 0.4995, 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: 0.999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9995, unweighted_recall: 0.501,
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: 0.4988, 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: 0.5034, f_measure: 0.5025, kappa: 0.0068, kb_relative_information_score: 0.0068, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.5, weighted_recall: 0.5034, number_of_instances: 3848, precision: 0.5034, predictive_accuracy: 0.5034, prior_entropy: 1, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7047, root_relative_squared_error: 1.4094, unweighted_recall: 0.5034,
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: 0.4941, f_measure: 0.4524, kappa: -0.0042, kb_relative_information_score: -0.0002, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, weighted_recall: 0.4979, number_of_instances: 3848, precision: 0.4969, predictive_accuracy: 0.4979, 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: 1.0002, unweighted_recall: 0.4979,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.4916, kappa: 0.0062, kb_relative_information_score: 0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.5031, number_of_instances: 3848, precision: 0.5034, predictive_accuracy: 0.5031, 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: 0.5031,
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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: 0.4806, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4958, kappa: 0.0016, kb_relative_information_score: -0, mean_absolute_error: 0.5, 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: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0001, unweighted_recall: 0.5008,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4912, f_measure: 0.4795, kappa: 0.0005, kb_relative_information_score: -0.0002, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, weighted_recall: 0.5003, number_of_instances: 3848, precision: 0.5003, predictive_accuracy: 0.5003, 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: 1.0002, unweighted_recall: 0.5003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.4922, kappa: -0.0156, kb_relative_information_score: -0.0009, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, weighted_recall: 0.4922, number_of_instances: 3848, precision: 0.4922, predictive_accuracy: 0.4922, prior_entropy: 1, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, unweighted_recall: 0.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.4922, kappa: -0.0156, kb_relative_information_score: -0.0009, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, weighted_recall: 0.4922, number_of_instances: 3848, precision: 0.4922, predictive_accuracy: 0.4922, prior_entropy: 1, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, unweighted_recall: 0.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.4922, kappa: -0.0156, kb_relative_information_score: -0.0009, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, weighted_recall: 0.4922, number_of_instances: 3848, precision: 0.4922, predictive_accuracy: 0.4922, prior_entropy: 1, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, unweighted_recall: 0.4922,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.5015, kappa: 0.0031, kb_relative_information_score: 0.0031, mean_absolute_error: 0.4984, 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: 0.9969, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.706, root_relative_squared_error: 1.412, unweighted_recall: 0.5016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.5148, kappa: 0.0296, kb_relative_information_score: 0.0004, mean_absolute_error: 0.4998, 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: 0.9997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9997, unweighted_recall: 0.5148,
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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: 0.5, 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: 0.4966, f_measure: 0.4066, kappa: -0.0021, kb_relative_information_score: -0.0003, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, weighted_recall: 0.499, number_of_instances: 3848, precision: 0.4972, predictive_accuracy: 0.499, prior_entropy: 1, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5002, 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: 0.4981, f_measure: 0.4771, kappa: -0.0005, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.4997, number_of_instances: 3848, precision: 0.4997, predictive_accuracy: 0.4997, prior_entropy: 1, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.001, unweighted_recall: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, 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: 0.5059, f_measure: 0.4607, kappa: 0.0068, kb_relative_information_score: 0.0004, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.5, weighted_recall: 0.5034, number_of_instances: 3848, precision: 0.5049, predictive_accuracy: 0.5034, prior_entropy: 1, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.5034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.4983, kappa: 0.0016, kb_relative_information_score: -0, mean_absolute_error: 0.5, 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: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, 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: 0.4778, f_measure: 0.4362, kappa: -0.0203, kb_relative_information_score: -0.0013, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.5, weighted_recall: 0.4899, number_of_instances: 3848, precision: 0.4836, predictive_accuracy: 0.4899, prior_entropy: 1, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0013, unweighted_recall: 0.4899,
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: 0.494, 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: 0.6663, root_relative_squared_error: 1.3326, unweighted_recall: 0.5,

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