Task
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 10101 Supervised Classification blood-transfusion-service-center 376685 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -130.5259, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0743, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4321, root_relative_squared_error: 1.0147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -1.3377, mean_absolute_error: 0.3632, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.7433, kappa: 0.237, kb_relative_information_score: 98.9303, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7596, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8282, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 29.2033, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.427, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -37.1794, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0184, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 20.0308, mean_absolute_error: 0.3517, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4263, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -0.1535, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, kb_relative_information_score: -16.4952, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4175, root_relative_squared_error: 0.9803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -38.5102, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0173, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, kb_relative_information_score: 97.424, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4039, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 3.099, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.5211, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7005, kappa: 0.1087, kb_relative_information_score: 27.4452, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7213, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.9016, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.9352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -46.8336, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0234, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.7436, kappa: 0.2398, kb_relative_information_score: 59.6125, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.752, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -43.0847, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0211, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7354, kb_relative_information_score: 35.9782, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.9609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.6671, kappa: 0.02, kb_relative_information_score: 58.961, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7253, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 73.2055, mean_absolute_error: 0.3199, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8812, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4336, root_relative_squared_error: 1.0182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -70.6446, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0359, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4267, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5024, f_measure: 0.5603, kappa: 0.0018, kb_relative_information_score: -354.7681, mean_absolute_error: 0.4746, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6382, predictive_accuracy: 0.5254, prior_entropy: 0.7928, recall: 0.5254, relative_absolute_error: 1.3073, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.6889, root_relative_squared_error: 1.6178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -34.8045, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0172, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -181.1321, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0996, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4315, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 0.0978, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -18.7204, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6739, f_measure: 0.7225, kappa: 0.1746, kb_relative_information_score: 40.3857, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7321, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -2.7692, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.7643, kappa: 0.3195, kb_relative_information_score: 101.3602, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7595, predictive_accuracy: 0.7794, prior_entropy: 0.7928, recall: 0.7794, relative_absolute_error: 0.8239, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -18.859, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 13.913, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5734, kb_relative_information_score: -83.5657, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0407, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.9952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 0.3243, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 12.0106, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9813, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -31.682, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0156, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 1.4706, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, kb_relative_information_score: -14.5491, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9701, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.9548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -595.0145, mean_absolute_error: 0.526, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.238, prior_entropy: 0.7928, recall: 0.238, relative_absolute_error: 1.4489, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5277, root_relative_squared_error: 1.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -21.6913, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0103, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -200.885, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.1121, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.433, root_relative_squared_error: 1.0168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 110.0003, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4442, root_relative_squared_error: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -31.855, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0157, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.7452, kappa: 0.2535, kb_relative_information_score: 61.4496, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7412, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8498, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.9586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -160.5109, mean_absolute_error: 0.3946, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.087, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 84.8452, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4364, root_relative_squared_error: 1.0248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 1.3616, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -28.4804, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0138, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, kb_relative_information_score: 44.721, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -15.7747, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0077, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1021.9736, mean_absolute_error: 0.762, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.238, prior_entropy: 0.7928, recall: 0.238, relative_absolute_error: 2.099, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.8729, root_relative_squared_error: 2.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -2.2297, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 59.3076, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9047, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4308, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 9.5821, mean_absolute_error: 0.3576, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6492, f_measure: 0.7059, kappa: 0.1972, kb_relative_information_score: 1.7385, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7089, predictive_accuracy: 0.7032, prior_entropy: 0.7928, recall: 0.7032, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -38.1418, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.019, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 71.5131, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8841, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4332, root_relative_squared_error: 1.0173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 1.9319, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.754, kappa: 0.2795, kb_relative_information_score: 108.3814, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7518, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8173, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.9357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 38.5911, mean_absolute_error: 0.3408, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4281, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -18.2783, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0089, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, kb_relative_information_score: 16.195, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3999, root_relative_squared_error: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 194.5127, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.3301, kappa: 0.005, kb_relative_information_score: -773.7111, mean_absolute_error: 0.6551, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6441, predictive_accuracy: 0.3449, prior_entropy: 0.7928, recall: 0.3449, relative_absolute_error: 1.8044, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.8094, root_relative_squared_error: 1.9006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -33.8782, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0168, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.7215, kappa: 0.1816, kb_relative_information_score: -24.2627, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7136, predictive_accuracy: 0.7513, prior_entropy: 0.7928, recall: 0.7513, relative_absolute_error: 0.9458, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -103.6487, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0539, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4275, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -56.6011, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0285, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4263, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4851, f_measure: 0.4835, kappa: -0.02, kb_relative_information_score: -534.7584, mean_absolute_error: 0.5521, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6253, predictive_accuracy: 0.4479, prior_entropy: 0.7928, recall: 0.4479, relative_absolute_error: 1.5209, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.7431, root_relative_squared_error: 1.7449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.7286, kappa: 0.2385, kb_relative_information_score: 14.3954, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7243, predictive_accuracy: 0.734, prior_entropy: 0.7928, recall: 0.734, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7477, kappa: 0.2635, kb_relative_information_score: 49.2511, mean_absolute_error: 0.3198, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7429, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.9282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 24.1083, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4266, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -5.9237, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -39.5188, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0196, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -536.31, mean_absolute_error: 0.5032, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.238, prior_entropy: 0.7928, recall: 0.238, relative_absolute_error: 1.3862, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.1818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -14.5284, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0071, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -7.761, mean_absolute_error: 0.3641, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.7147, kappa: 0.1512, kb_relative_information_score: 41.7887, mean_absolute_error: 0.3212, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7212, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 1.1055, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.3301, kappa: 0.005, kb_relative_information_score: -773.7111, mean_absolute_error: 0.6551, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6441, predictive_accuracy: 0.3449, prior_entropy: 0.7928, recall: 0.3449, relative_absolute_error: 1.8044, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.8094, root_relative_squared_error: 1.9006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1021.9736, mean_absolute_error: 0.762, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.238, prior_entropy: 0.7928, recall: 0.238, relative_absolute_error: 2.099, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.8729, root_relative_squared_error: 2.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 39.2962, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4279, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -101.1059, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0525, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4274, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 23.724, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 10.611, mean_absolute_error: 0.3571, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.426, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.7431, kappa: 0.2482, kb_relative_information_score: 71.7468, mean_absolute_error: 0.3083, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7382, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8492, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.7487, kappa: 0.2593, kb_relative_information_score: 47.5358, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7495, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.9307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -43.4118, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0216, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 11.9077, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9804, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4262, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 38.45, mean_absolute_error: 0.3409, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7023, f_measure: 0.6754, kappa: 0.0422, kb_relative_information_score: 114.6335, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7433, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.9797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: -15.3431, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -125.8182, mean_absolute_error: 0.3872, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0665, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4284, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7124, kappa: 0.1442, kb_relative_information_score: 24.4685, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7182, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 102.7827, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4417, root_relative_squared_error: 1.0372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.7282, kappa: 0.1959, kb_relative_information_score: -65.6969, mean_absolute_error: 0.3599, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7271, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.7467, kappa: 0.2662, kb_relative_information_score: 131.2321, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7403, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.9634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, kb_relative_information_score: 5.4731, mean_absolute_error: 0.36, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4259, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.7457, kappa: 0.2636, kb_relative_information_score: 77.0967, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7391, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.9631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.7672, kappa: 0.3207, kb_relative_information_score: 93.3629, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7654, predictive_accuracy: 0.7874, prior_entropy: 0.7928, recall: 0.7874, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.9219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -380.5572, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4581, root_relative_squared_error: 1.0758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -511.7115, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.3614, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.1609,

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