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: 0.5013, f_measure: 0.5013, kappa: 0.0026, kb_relative_information_score: 0.0026, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, weighted_recall: 0.5013, number_of_instances: 3848, precision: 0.5013, predictive_accuracy: 0.5013, prior_entropy: 1, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7062, root_relative_squared_error: 1.4124, unweighted_recall: 0.5013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.5013, kappa: 0.0026, kb_relative_information_score: 0.0026, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, weighted_recall: 0.5013, number_of_instances: 3848, precision: 0.5013, predictive_accuracy: 0.5013, prior_entropy: 1, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7062, root_relative_squared_error: 1.4124, unweighted_recall: 0.5013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.5013, kappa: 0.0026, kb_relative_information_score: 0.0026, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, weighted_recall: 0.5013, number_of_instances: 3848, precision: 0.5013, predictive_accuracy: 0.5013, prior_entropy: 1, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7062, root_relative_squared_error: 1.4124, unweighted_recall: 0.5013,
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: 0.4792, f_measure: 0.4837, kappa: -0.0275, kb_relative_information_score: -0.0027, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.5, weighted_recall: 0.4862, number_of_instances: 3848, precision: 0.486, predictive_accuracy: 0.4862, prior_entropy: 1, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0029, unweighted_recall: 0.4862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5168, f_measure: 0.4709, kappa: 0.014, kb_relative_information_score: 0.0006, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, weighted_recall: 0.507, number_of_instances: 3848, precision: 0.5096, predictive_accuracy: 0.507, prior_entropy: 1, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4999, root_relative_squared_error: 0.9997, unweighted_recall: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.5013, kappa: 0.0026, kb_relative_information_score: 0.0026, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.5, weighted_recall: 0.5013, number_of_instances: 3848, precision: 0.5013, predictive_accuracy: 0.5013, prior_entropy: 1, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7062, root_relative_squared_error: 1.4124, unweighted_recall: 0.5013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4912, f_measure: 0.4934, kappa: -0.013, kb_relative_information_score: -0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.4935, number_of_instances: 3848, precision: 0.4935, predictive_accuracy: 0.4935, 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: 0.4935,
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: 0.4979, f_measure: 0.4722, kappa: -0.0062, kb_relative_information_score: -0.0034, mean_absolute_error: 0.5014, mean_prior_absolute_error: 0.5, weighted_recall: 0.4969, number_of_instances: 3848, precision: 0.4962, predictive_accuracy: 0.4969, prior_entropy: 1, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.551, root_relative_squared_error: 1.102, unweighted_recall: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.4958, kappa: -0.0083, kb_relative_information_score: -0.0083, mean_absolute_error: 0.5042, 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: 1.0083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.71, root_relative_squared_error: 1.4201, unweighted_recall: 0.4958,
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: 0.4865, f_measure: 0.496, kappa: -0.0078, kb_relative_information_score: -0.0007, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, weighted_recall: 0.4961, number_of_instances: 3848, precision: 0.4961, predictive_accuracy: 0.4961, prior_entropy: 1, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, unweighted_recall: 0.4961,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, f_measure: 0.4936, kappa: -0.0099, kb_relative_information_score: -0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.4951, number_of_instances: 3848, precision: 0.495, predictive_accuracy: 0.4951, 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: 0.4951,
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: 0.4945, f_measure: 0.4945, kappa: -0.0109, kb_relative_information_score: -0.0109, mean_absolute_error: 0.5055, 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: 1.0109, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.711, root_relative_squared_error: 1.4219, 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: 0.4858, 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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.4971, kappa: -0.0057, kb_relative_information_score: -0.0057, mean_absolute_error: 0.5029, mean_prior_absolute_error: 0.5, weighted_recall: 0.4971, number_of_instances: 3848, precision: 0.4971, predictive_accuracy: 0.4971, prior_entropy: 1, relative_absolute_error: 1.0057, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7091, root_relative_squared_error: 1.4183, unweighted_recall: 0.4971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.497, kappa: -0.0057, kb_relative_information_score: -0.0004, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, weighted_recall: 0.4971, number_of_instances: 3848, precision: 0.4971, predictive_accuracy: 0.4971, 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: 1.0006, unweighted_recall: 0.4971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, 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: 0.4751, f_measure: 0.4801, kappa: -0.026, kb_relative_information_score: -0.0009, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.5, weighted_recall: 0.487, number_of_instances: 3848, precision: 0.4863, predictive_accuracy: 0.487, prior_entropy: 1, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0008, unweighted_recall: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, 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: 0.5028, f_measure: 0.5008, kappa: 0.0026, kb_relative_information_score: 0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.5013, number_of_instances: 3848, precision: 0.5013, predictive_accuracy: 0.5013, 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: 0.5013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.4924, kappa: -0.0151, kb_relative_information_score: -0.0151, mean_absolute_error: 0.5075, mean_prior_absolute_error: 0.5, weighted_recall: 0.4925, number_of_instances: 3848, precision: 0.4925, predictive_accuracy: 0.4925, prior_entropy: 1, relative_absolute_error: 1.0151, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7124, root_relative_squared_error: 1.4248, unweighted_recall: 0.4925,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.4959, kappa: -0.0078, kb_relative_information_score: -0.0002, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, weighted_recall: 0.4961, number_of_instances: 3848, precision: 0.4961, predictive_accuracy: 0.4961, 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: 1.0006, unweighted_recall: 0.4961,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.4897, kappa: -0.0203, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.4899, number_of_instances: 3848, precision: 0.4899, predictive_accuracy: 0.4899, 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: 0.4899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.3447, kappa: -0.001, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.4995, number_of_instances: 3848, precision: 0.4906, predictive_accuracy: 0.4995, 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: 0.4995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.4965, kappa: 0.0021, kb_relative_information_score: 0, 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: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, unweighted_recall: 0.501,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4917, f_measure: 0.4949, kappa: -0.0099, kb_relative_information_score: -0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.4951, number_of_instances: 3848, precision: 0.4951, predictive_accuracy: 0.4951, 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: 0.4951,
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: 0.4992, 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: 0.4891, f_measure: 0.4864, kappa: -0.027, kb_relative_information_score: -0.0048, mean_absolute_error: 0.5018, 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: 1.0037, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0294, unweighted_recall: 0.4865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5047, f_measure: 0.5047, 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: 0.5047, 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: 0.5047, f_measure: 0.5047, 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: 0.5047, 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: 0.5047, f_measure: 0.5047, 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: 0.5047, 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: 0.5047, f_measure: 0.5047, 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: 0.5047, 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: 0.5047, f_measure: 0.5047, 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: 0.5047, 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: 0.5047, f_measure: 0.5047, 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: 0.5047, 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: 0.5047, f_measure: 0.5047, 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: 0.5047, 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: 0.5047, f_measure: 0.5047, 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: 0.5047, 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,

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