Task
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 29 Supervised Classification credit-approval 21841 runs submitted
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  • at2 basic ComplexWorkflows mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_70 study_73 study_98 study_99 under100k under1m
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21841 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, kb_relative_information_score: 16.4584, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.0427, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, kb_relative_information_score: 5.5699, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.4705, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 17.1418, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8555, kappa: 0.7113, kb_relative_information_score: 370.0828, mean_absolute_error: 0.2483, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8649, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.6289, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.8912, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, kb_relative_information_score: 7.8903, mean_absolute_error: 0.4895, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.5187, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0119, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.8581, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, kb_relative_information_score: -1.3251, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5598, kb_relative_information_score: 0.6855, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8497, kappa: 0.6986, kb_relative_information_score: 320.0093, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8553, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8389, kappa: 0.6728, kb_relative_information_score: 189.1819, mean_absolute_error: 0.3846, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8437, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8761, kb_relative_information_score: 24.6443, mean_absolute_error: 0.4793, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.7585, kappa: 0.513, kb_relative_information_score: 75.625, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7812, predictive_accuracy: 0.7667, prior_entropy: 0.9913, recall: 0.7667, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.3939, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.3059, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.3877, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.6672, mean_absolute_error: 0.4919, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.7319, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, kb_relative_information_score: 41.1862, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -1.747, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.8759, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0103, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, kb_relative_information_score: -19.5912, mean_absolute_error: 0.5035, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0192, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8626, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 47.6203, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 1.8299, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.645, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, kb_relative_information_score: 10.1179, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, kb_relative_information_score: -3.7245, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, kb_relative_information_score: 2.1212, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.7951, kappa: 0.5876, kb_relative_information_score: 71.6352, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8257, predictive_accuracy: 0.8029, prior_entropy: 0.9913, recall: 0.8029, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8583, kappa: 0.7172, kb_relative_information_score: 318.1635, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8685, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.6904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8512, kappa: 0.7019, kb_relative_information_score: 199.6215, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8582, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.7671, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.7946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 7.2013, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, kb_relative_information_score: 21.4444, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9758, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 15.6975, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.0143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 2.2871, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.2266, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8598, kappa: 0.7198, kb_relative_information_score: 24.0805, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8689, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4821, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.7624, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.83, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 4.4297, mean_absolute_error: 0.4915, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.8488, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 1.6765, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 1.2791, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.5744, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.4657, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.3529, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.4379, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 4.2169, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 3.4311, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8577, kappa: 0.7113, kb_relative_information_score: 265.361, mean_absolute_error: 0.3297, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8579, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.6675, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.367, root_relative_squared_error: 0.7384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 1.5764, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, kb_relative_information_score: -1.0486, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4967, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.7743, kappa: 0.5455, kb_relative_information_score: 83.9198, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8016, predictive_accuracy: 0.7826, prior_entropy: 0.9913, recall: 0.7826, relative_absolute_error: 0.9095, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 225.9633, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.3593, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -3.5485, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, kb_relative_information_score: 13.7154, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.496, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0338, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, kb_relative_information_score: 35.6566, mean_absolute_error: 0.4743, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, kb_relative_information_score: 17.1013, mean_absolute_error: 0.4852, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.3202, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -2.7124, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 4.7175, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1826, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, kb_relative_information_score: 64.9687, mean_absolute_error: 0.4589, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4645, root_relative_squared_error: 0.9346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 1.3124, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.1621, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, kb_relative_information_score: -13.4328, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0128, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -2.5731, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.8715, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 1.3687, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -1.8664, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5.4573, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, kb_relative_information_score: 11.4646, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, kb_relative_information_score: 10.4097, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.137, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0095, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.9489, mean_absolute_error: 0.4882, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, kb_relative_information_score: 10.094, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.2088, mean_absolute_error: 0.4817, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.0247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, kb_relative_information_score: 6.286, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 349.8773, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.8713, mean_absolute_error: 0.4906, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.068, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8654, kappa: 0.7279, kb_relative_information_score: 444.5775, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8659, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.3766, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.6215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 3.3519, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.2284, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.8393, kappa: 0.6812, kb_relative_information_score: 6.8109, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8555, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.3593, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.2514, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, kb_relative_information_score: 7.2256, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8538, kappa: 0.7047, kb_relative_information_score: 372.6343, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8545, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.5013, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.329, root_relative_squared_error: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, kb_relative_information_score: 5.4019, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, kb_relative_information_score: -0.5138, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 354.292, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 150.687, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.0382, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1,

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