Task
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 208614 runs submitted
1 likes downloaded by 6 people , 12 total downloads 0 issues
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  • OpenML100 study_107 study_123 study_14
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208614 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.8411, 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: 0.9991, 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: 0.8683, kb_relative_information_score: 57.695, mean_absolute_error: 0.4637, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9387, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -1.2152, 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: 1.0011, 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: 23.3639, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.1708, 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: 0.9975, 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: -28.9821, mean_absolute_error: 0.5086, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0297, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -3.9466, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0036, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, kb_relative_information_score: 0.2471, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 2.4733, 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: 0.9972, 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: -31.6002, mean_absolute_error: 0.5102, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0328, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5183, root_relative_squared_error: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 4.1043, 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: 0.9953, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, kb_relative_information_score: 22.0124, mean_absolute_error: 0.4832, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4857, root_relative_squared_error: 0.9773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.6057, 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: 1.0015, 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: 10.148, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5.2912, 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: 1.0049, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -3.4069, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.973, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9966, 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: 0.4938, kb_relative_information_score: -2.6426, 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: 1.0024, 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: 8.4421, 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: 0.499, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.1887, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.1425, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9987, 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: 0.8634, f_measure: 0.7787, kappa: 0.5507, kb_relative_information_score: 135.0457, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7826, predictive_accuracy: 0.7812, prior_entropy: 0.9913, recall: 0.7812, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.7444, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0142, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 1.0214, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9989, 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: -7.5696, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.498, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8625, kappa: 0.7221, kb_relative_information_score: 412.9768, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.863, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.6058, 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: 0.4938, kb_relative_information_score: -2.4757, 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: 1.0022, 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: 0.9123, mean_absolute_error: 0.4934, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8623, kappa: 0.7213, kb_relative_information_score: 261.016, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.6792, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, kb_relative_information_score: -0.0387, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 5.727, 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: 0.4979, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.6924, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.0107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.7148, kappa: 0.4237, kb_relative_information_score: 61.5481, mean_absolute_error: 0.4626, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7301, predictive_accuracy: 0.7232, prior_entropy: 0.9913, recall: 0.7232, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.8638, 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: 0.5, kb_relative_information_score: 2.4016, 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: -3.2501, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.003, 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: 0.9168, f_measure: 0.8627, kappa: 0.7233, kb_relative_information_score: 378.6205, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8649, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, kb_relative_information_score: 14.8375, 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: 0.9839, 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: 0.5, kb_relative_information_score: -10.98, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4991, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8582, kappa: 0.7134, kb_relative_information_score: 312.9673, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8587, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, kb_relative_information_score: 11.6532, mean_absolute_error: 0.4872, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.0776, 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: 0.5, kb_relative_information_score: -6.6865, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, kb_relative_information_score: 11.3251, 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: 0.9886, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 6.4704, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -37.0867, mean_absolute_error: 0.5135, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0395, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5277, root_relative_squared_error: 1.0618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8653, kappa: 0.7276, kb_relative_information_score: 401.4044, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8655, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.7635, 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: 0.9991, 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: 7.694, 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: 0.4986, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8652, kappa: 0.7272, kb_relative_information_score: 189.0745, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 4.7196, 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: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 2.3226, 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: 0.5, kb_relative_information_score: -27.1315, mean_absolute_error: 0.5076, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0276, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5122, root_relative_squared_error: 1.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, kb_relative_information_score: -26.5096, mean_absolute_error: 0.5072, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0269, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5115, root_relative_squared_error: 1.0293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8958, kb_relative_information_score: 11.7153, mean_absolute_error: 0.4871, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -58.7815, mean_absolute_error: 0.5283, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.4449, prior_entropy: 0.9913, recall: 0.4449, relative_absolute_error: 1.0696, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.587, root_relative_squared_error: 1.1811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.856, 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: 0.5, kb_relative_information_score: 2.5439, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9971, 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: 0.8912, kb_relative_information_score: 13.026, mean_absolute_error: 0.4863, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 1.3001, 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: 3.3686, 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: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, kb_relative_information_score: 22.9547, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9784, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.2367, 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: 0.9963, 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: 0.9208, f_measure: 0.8641, kappa: 0.7261, kb_relative_information_score: 403.9143, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8662, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8652, kappa: 0.7272, kb_relative_information_score: 430.707, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8653, predictive_accuracy: 0.8652, prior_entropy: 0.9913, recall: 0.8652, relative_absolute_error: 0.4, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.2059, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0029, 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: 0.6426, kb_relative_information_score: 0.2901, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9997, 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: 0.8547, f_measure: 0.7907, kappa: 0.5756, kb_relative_information_score: 77.2343, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7908, predictive_accuracy: 0.7913, prior_entropy: 0.9913, recall: 0.7913, relative_absolute_error: 0.9181, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -7.7612, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -0.9756, 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: 0.497, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 2.4646, 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: 0.9972, 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: 0.9111, kb_relative_information_score: 24.6556, mean_absolute_error: 0.4813, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.7496, kappa: 0.5047, kb_relative_information_score: 73.9276, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8152, predictive_accuracy: 0.7667, prior_entropy: 0.9913, recall: 0.7667, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8623, kappa: 0.7213, kb_relative_information_score: 216.6764, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8624, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, f_measure: 0.7023, kappa: 0.4048, kb_relative_information_score: -9.5532, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7099, predictive_accuracy: 0.7014, prior_entropy: 0.9913, recall: 0.7014, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, kb_relative_information_score: 18.8054, 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: 0.4873, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.8371, 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: 0.9822, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8111, kappa: 0.619, kb_relative_information_score: 65.3806, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8374, predictive_accuracy: 0.8174, prior_entropy: 0.9913, recall: 0.8174, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: -2.315, 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: 0.4971, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, kb_relative_information_score: 1.0797, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4969, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8199, kappa: 0.6357, kb_relative_information_score: 64.8862, mean_absolute_error: 0.4607, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8389, predictive_accuracy: 0.8246, prior_entropy: 0.9913, recall: 0.8246, relative_absolute_error: 0.9327, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, kb_relative_information_score: 28.3606, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.9714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 339.1282, mean_absolute_error: 0.2736, 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: 0.554, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.4889, 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: 0.9013, f_measure: 0.8319, kappa: 0.6587, kb_relative_information_score: 128.8493, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.835, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 354.8624, mean_absolute_error: 0.2627, 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: 0.5319, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, kb_relative_information_score: 40.2377, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9576, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, kb_relative_information_score: 3.8102, 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: 0.4951, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, kb_relative_information_score: 5.7144, 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: 0.9935, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 0.7396, 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: 0.9991, 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: 0.2337, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9997, 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: 1.0109, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9989, 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: 0.705, kb_relative_information_score: -0.4703, 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: 1.0004, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.5088, kappa: 0.1356, kb_relative_information_score: 52.3081, mean_absolute_error: 0.4665, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.771, predictive_accuracy: 0.6101, prior_entropy: 0.9913, recall: 0.6101, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 10.0754, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8637, kappa: 0.724, kb_relative_information_score: 432.9748, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 2.8438, 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: 0.9968, 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: 0.4938, kb_relative_information_score: 3.0921, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, kb_relative_information_score: 8.3086, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.494, number_of_instances: 690, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9988,

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

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