OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 57199 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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57199 Runs

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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: 2600, 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: 0.5903, f_measure: 0.5626, kappa: 0.1262, kb_relative_information_score: 0.0275, mean_absolute_error: 0.4896, mean_prior_absolute_error: 0.5, weighted_recall: 0.5631, number_of_instances: 2600, precision: 0.5634, predictive_accuracy: 0.5631, prior_entropy: 1, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9895, unweighted_recall: 0.5631,
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: 2600, 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: 2600, 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: 2600, 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: 2600, 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: 2600, 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: 0.5962, f_measure: 0.5719, kappa: 0.1446, kb_relative_information_score: 0.0285, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.5, weighted_recall: 0.5723, number_of_instances: 2600, precision: 0.5726, predictive_accuracy: 0.5723, prior_entropy: 1, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9873, unweighted_recall: 0.5723,
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: 2600, 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: 2600, 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: 0.6208, f_measure: 0.5903, kappa: 0.1808, kb_relative_information_score: 0.0514, mean_absolute_error: 0.4798, mean_prior_absolute_error: 0.5, weighted_recall: 0.5904, number_of_instances: 2600, precision: 0.5905, predictive_accuracy: 0.5904, prior_entropy: 1, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9774, unweighted_recall: 0.5904,
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: 2600, 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: 0.5311, f_measure: 0.3673, kappa: 0.0238, kb_relative_information_score: 0.0006, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.5, weighted_recall: 0.5119, number_of_instances: 2600, precision: 0.639, predictive_accuracy: 0.5119, prior_entropy: 1, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, unweighted_recall: 0.5119,
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: 2600, 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: 0.6021, f_measure: 0.5709, kappa: 0.1423, kb_relative_information_score: 0.0292, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.5, weighted_recall: 0.5712, number_of_instances: 2600, precision: 0.5713, predictive_accuracy: 0.5712, prior_entropy: 1, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4927, root_relative_squared_error: 0.9854, unweighted_recall: 0.5712,
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: 2600, 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: 0.5004, kb_relative_information_score: 0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, weighted_recall: 0.5, number_of_instances: 2600, 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: 2600, 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: 2600, 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: 0.5826, f_measure: 0.564, kappa: 0.13, kb_relative_information_score: 0.0172, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.5, weighted_recall: 0.565, number_of_instances: 2600, precision: 0.5656, predictive_accuracy: 0.565, prior_entropy: 1, relative_absolute_error: 0.9873, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9913, unweighted_recall: 0.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.5976, kappa: 0.1954, kb_relative_information_score: 0.0756, mean_absolute_error: 0.4694, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5977, predictive_accuracy: 0.5977, prior_entropy: 1, recall: 0.5977, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5826, f_measure: 0.5633, kappa: 0.1277, kb_relative_information_score: 0.0175, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5641, predictive_accuracy: 0.5638, prior_entropy: 1, recall: 0.5638, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.6086, f_measure: 0.579, kappa: 0.1585, kb_relative_information_score: 0.0412, mean_absolute_error: 0.484, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5794, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.5953, kappa: 0.1908, kb_relative_information_score: 0.027, mean_absolute_error: 0.4901, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5955, predictive_accuracy: 0.5954, prior_entropy: 1, recall: 0.5954, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5576, f_measure: 0.5415, kappa: 0.0854, kb_relative_information_score: 0.0106, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5432, predictive_accuracy: 0.5427, prior_entropy: 1, recall: 0.5427, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.6415, f_measure: 0.5976, kappa: 0.1954, kb_relative_information_score: 0.0773, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5977, predictive_accuracy: 0.5977, prior_entropy: 1, recall: 0.5977, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.633, f_measure: 0.5921, kappa: 0.1846, kb_relative_information_score: 0.0659, mean_absolute_error: 0.4735, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5925, predictive_accuracy: 0.5923, prior_entropy: 1, recall: 0.5923, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.486, root_relative_squared_error: 0.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.6127, kappa: 0.2254, kb_relative_information_score: 0.1032, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6127, predictive_accuracy: 0.6127, prior_entropy: 1, recall: 0.6127, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.4996, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.6032, f_measure: 0.5746, kappa: 0.15, kb_relative_information_score: 0.0304, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5753, predictive_accuracy: 0.575, prior_entropy: 1, recall: 0.575, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.5933, kappa: 0.1869, kb_relative_information_score: 0.0561, mean_absolute_error: 0.478, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5936, predictive_accuracy: 0.5935, prior_entropy: 1, recall: 0.5935, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.5535, kappa: 0.1108, kb_relative_information_score: 0.0134, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5563, predictive_accuracy: 0.5554, prior_entropy: 1, recall: 0.5554, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.6033, f_measure: 0.5758, kappa: 0.1523, kb_relative_information_score: 0.031, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5764, predictive_accuracy: 0.5762, prior_entropy: 1, recall: 0.5762, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4923, root_relative_squared_error: 0.9847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.6668, f_measure: 0.6134, kappa: 0.2269, kb_relative_information_score: 0.1105, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6135, predictive_accuracy: 0.6135, prior_entropy: 1, recall: 0.6135, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4769, root_relative_squared_error: 0.9539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.604, f_measure: 0.5732, kappa: 0.1469, kb_relative_information_score: 0.0303, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5737, predictive_accuracy: 0.5735, prior_entropy: 1, recall: 0.5735, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6155, f_measure: 0.5833, kappa: 0.1669, kb_relative_information_score: 0.0468, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5836, predictive_accuracy: 0.5835, prior_entropy: 1, recall: 0.5835, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.6371, f_measure: 0.593, kappa: 0.1862, kb_relative_information_score: 0.0711, mean_absolute_error: 0.4713, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5932, predictive_accuracy: 0.5931, prior_entropy: 1, recall: 0.5931, relative_absolute_error: 0.9426, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4851, root_relative_squared_error: 0.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.5987, kappa: 0.1977, kb_relative_information_score: 0.061, mean_absolute_error: 0.476, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5989, predictive_accuracy: 0.5988, prior_entropy: 1, recall: 0.5988, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.485, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5883, f_measure: 0.5698, kappa: 0.1408, kb_relative_information_score: 0.0208, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5707, predictive_accuracy: 0.5704, prior_entropy: 1, recall: 0.5704, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.495, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.6037, f_measure: 0.575, kappa: 0.1508, kb_relative_information_score: 0.0304, mean_absolute_error: 0.4885, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5756, predictive_accuracy: 0.5754, prior_entropy: 1, recall: 0.5754, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.4996, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5906, f_measure: 0.5635, kappa: 0.13, kb_relative_information_score: 0.0278, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5659, predictive_accuracy: 0.565, prior_entropy: 1, recall: 0.565, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.6123, kappa: 0.2246, kb_relative_information_score: 0.1086, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6123, predictive_accuracy: 0.6123, prior_entropy: 1, recall: 0.6123, relative_absolute_error: 0.9083, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5609, f_measure: 0.5407, kappa: 0.0838, kb_relative_information_score: 0.0117, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5424, predictive_accuracy: 0.5419, prior_entropy: 1, recall: 0.5419, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6161, f_measure: 0.5848, kappa: 0.17, kb_relative_information_score: 0.0463, mean_absolute_error: 0.4819, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5851, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, f_measure: 0.575, kappa: 0.1508, kb_relative_information_score: 0.0306, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5757, predictive_accuracy: 0.5754, prior_entropy: 1, recall: 0.5754, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5991, f_measure: 0.5769, kappa: 0.1546, kb_relative_information_score: 0.0283, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5776, predictive_accuracy: 0.5773, prior_entropy: 1, recall: 0.5773, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6173, f_measure: 0.5914, kappa: 0.1831, kb_relative_information_score: 0.0481, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5916, predictive_accuracy: 0.5915, prior_entropy: 1, recall: 0.5915, relative_absolute_error: 0.9623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5825, f_measure: 0.5664, kappa: 0.1338, kb_relative_information_score: 0.0175, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5672, predictive_accuracy: 0.5669, prior_entropy: 1, recall: 0.5669, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.5988, kappa: 0.1977, kb_relative_information_score: 0.0697, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5989, predictive_accuracy: 0.5988, prior_entropy: 1, recall: 0.5988, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.6614, f_measure: 0.61, kappa: 0.22, kb_relative_information_score: 0.1028, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.61, predictive_accuracy: 0.61, prior_entropy: 1, recall: 0.61, relative_absolute_error: 0.9136, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.5979, kappa: 0.1962, kb_relative_information_score: 0.0496, mean_absolute_error: 0.4809, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5982, predictive_accuracy: 0.5981, prior_entropy: 1, recall: 0.5981, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.6085, f_measure: 0.5867, kappa: 0.1738, kb_relative_information_score: 0.0377, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5871, predictive_accuracy: 0.5869, prior_entropy: 1, recall: 0.5869, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.6082, f_measure: 0.5871, kappa: 0.1746, kb_relative_information_score: 0.0374, mean_absolute_error: 0.4856, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5875, predictive_accuracy: 0.5873, prior_entropy: 1, recall: 0.5873, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.6131, f_measure: 0.5837, kappa: 0.1677, kb_relative_information_score: 0.0444, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.584, predictive_accuracy: 0.5838, prior_entropy: 1, recall: 0.5838, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4902, root_relative_squared_error: 0.9804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.5911, kappa: 0.1823, kb_relative_information_score: 0.0495, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5912, predictive_accuracy: 0.5912, prior_entropy: 1, recall: 0.5912, relative_absolute_error: 0.9612, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5826, f_measure: 0.5585, kappa: 0.1192, kb_relative_information_score: 0.0174, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5602, predictive_accuracy: 0.5596, prior_entropy: 1, recall: 0.5596, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: -0, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5061, f_measure: 0.3381, kappa: 0.0031, kb_relative_information_score: 0.0001, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6254, predictive_accuracy: 0.5015, prior_entropy: 1, recall: 0.5015, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.635, f_measure: 0.5922, kappa: 0.1846, kb_relative_information_score: 0.0686, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5924, predictive_accuracy: 0.5923, prior_entropy: 1, recall: 0.5923, relative_absolute_error: 0.9447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.6111, f_measure: 0.5849, kappa: 0.17, kb_relative_information_score: 0.0434, mean_absolute_error: 0.4831, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5851, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.6402, f_measure: 0.5984, kappa: 0.1969, kb_relative_information_score: 0.0758, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5985, predictive_accuracy: 0.5985, prior_entropy: 1, recall: 0.5985, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.587, f_measure: 0.5714, kappa: 0.1438, kb_relative_information_score: 0.0199, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5723, predictive_accuracy: 0.5719, prior_entropy: 1, recall: 0.5719, relative_absolute_error: 0.9853, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.5, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, 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: 0.615, f_measure: 0.5848, kappa: 0.17, kb_relative_information_score: 0.0451, mean_absolute_error: 0.4824, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5852, predictive_accuracy: 0.585, prior_entropy: 1, recall: 0.585, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.5977, kappa: 0.1954, kb_relative_information_score: 0.0762, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5977, predictive_accuracy: 0.5977, prior_entropy: 1, recall: 0.5977, relative_absolute_error: 0.938, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.8257, kappa: 0.6515, kb_relative_information_score: 0.398, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.826, predictive_accuracy: 0.8258, prior_entropy: 1, recall: 0.8258, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8384, kappa: 0.6769, kb_relative_information_score: 0.5326, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8387, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.5017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8281, kappa: 0.6562, kb_relative_information_score: 0.3737, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8281, predictive_accuracy: 0.8281, prior_entropy: 1, recall: 0.8281, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.379, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, f_measure: 0.6558, kappa: 0.3115, kb_relative_information_score: 0.0872, mean_absolute_error: 0.466, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6558, predictive_accuracy: 0.6558, prior_entropy: 1, recall: 0.6558, relative_absolute_error: 0.9321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9466,

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

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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