Task
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 31 Supervised Classification credit-g 408331 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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408331 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.2269, mean_absolute_error: 0.423, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.81, mean_absolute_error: 0.4102, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.0832, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -19.4074, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.7197, kappa: 0.3054, kb_relative_information_score: 168.7341, mean_absolute_error: 0.3457, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7248, predictive_accuracy: 0.743, prior_entropy: 0.8818, recall: 0.743, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.9031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -93.3179, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0438, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4606, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 39.4515, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9586, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4603, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 24.4144, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.3736, mean_absolute_error: 0.417, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, kb_relative_information_score: 14.5227, mean_absolute_error: 0.4139, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.044, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.5399, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.1554, mean_absolute_error: 0.4153, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.3386, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4622, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.3999, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.6587, kappa: 0.1626, kb_relative_information_score: 116.9703, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7221, predictive_accuracy: 0.727, prior_entropy: 0.8818, recall: 0.727, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 124.3879, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.481, root_relative_squared_error: 1.0496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.712, kappa: 0.3098, kb_relative_information_score: 180.022, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7103, predictive_accuracy: 0.714, prior_entropy: 0.8818, recall: 0.714, relative_absolute_error: 0.7865, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.6888, kappa: 0.2267, kb_relative_information_score: 100.6858, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6997, predictive_accuracy: 0.725, prior_entropy: 0.8818, recall: 0.725, relative_absolute_error: 0.8779, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.323, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.6231, kappa: 0.0863, kb_relative_information_score: 18.8172, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6973, predictive_accuracy: 0.712, prior_entropy: 0.8818, recall: 0.712, relative_absolute_error: 0.9614, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7191, f_measure: 0.6824, kappa: 0.2159, kb_relative_information_score: 102.7866, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6779, predictive_accuracy: 0.703, prior_entropy: 0.8818, recall: 0.703, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.4562, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.2559, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.7534, mean_absolute_error: 0.4229, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -24.4612, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0109, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22.2067, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 62.2303, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4635, root_relative_squared_error: 1.0114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.6946, kappa: 0.2427, kb_relative_information_score: 130.3488, mean_absolute_error: 0.3596, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6962, predictive_accuracy: 0.721, prior_entropy: 0.8818, recall: 0.721, relative_absolute_error: 0.8558, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4231, root_relative_squared_error: 0.9234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -28.095, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0125, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -28.8738, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0129, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.9734, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, kb_relative_information_score: 1.3442, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -35.884, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0161, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.9485, mean_absolute_error: 0.4102, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.9499, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -228.6015, mean_absolute_error: 0.4704, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.1196, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7489, f_measure: 0.6067, kappa: 0.0564, kb_relative_information_score: 93.7744, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7105, predictive_accuracy: 0.709, prior_entropy: 0.8818, recall: 0.709, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 116.1873, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -187.6013, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0949, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4691, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.651, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 30.6832, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4595, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -17.0911, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.1615, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.1115, mean_absolute_error: 0.422, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5326, kb_relative_information_score: -81.9976, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0386, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4591, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.2317, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.9923, mean_absolute_error: 0.4176, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5811, kb_relative_information_score: -7.1688, mean_absolute_error: 0.4175, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -136.292, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0662, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4636, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -53.9238, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0246, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7313, f_measure: 0.6683, kappa: 0.1762, kb_relative_information_score: 160.3307, mean_absolute_error: 0.3463, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6806, predictive_accuracy: 0.713, prior_entropy: 0.8818, recall: 0.713, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.324, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 27.3764, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4592, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -32.5271, mean_absolute_error: 0.4263, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0146, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.0609, mean_absolute_error: 0.4197, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 33.879, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4597, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.9457, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.4365, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.6319, mean_absolute_error: 0.4221, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.522, f_measure: 0.5183, kappa: 0.0358, kb_relative_information_score: -279.1865, mean_absolute_error: 0.501, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.5995, predictive_accuracy: 0.499, prior_entropy: 0.8818, recall: 0.499, relative_absolute_error: 1.1924, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.7078, root_relative_squared_error: 1.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -16.9789, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.7541, kappa: 0.3946, kb_relative_information_score: 407.3457, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7559, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4817, root_relative_squared_error: 1.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.7528, kappa: 0.3919, kb_relative_information_score: 402.2414, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7537, predictive_accuracy: 0.766, prior_entropy: 0.8818, recall: 0.766, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.0556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.6952, kappa: 0.2831, kb_relative_information_score: 164.3405, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6993, predictive_accuracy: 0.692, prior_entropy: 0.8818, recall: 0.692, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4889, root_relative_squared_error: 1.0668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 84.2196, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4681, root_relative_squared_error: 1.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7186, f_measure: 0.6832, kappa: 0.213, kb_relative_information_score: 166.8124, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6886, predictive_accuracy: 0.717, prior_entropy: 0.8818, recall: 0.717, relative_absolute_error: 0.8026, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.044, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4747, f_measure: 0.512, kappa: -0.0439, kb_relative_information_score: -299.6038, mean_absolute_error: 0.509, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.5591, predictive_accuracy: 0.491, prior_entropy: 0.8818, recall: 0.491, relative_absolute_error: 1.2114, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.7134, root_relative_squared_error: 1.5569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.8314, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -13.2283, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 95.4937, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.0282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -11.8453, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -79.1393, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0368, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5385, f_measure: 0.5495, kappa: 0.066, kb_relative_information_score: -200.0694, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6134, predictive_accuracy: 0.53, prior_entropy: 0.8818, recall: 0.53, relative_absolute_error: 1.1186, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -12.7103, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2661, mean_absolute_error: 0.396, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9424, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4622, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 31.2657, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4595, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.6642, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 19.9037, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 43.2083, mean_absolute_error: 0.4011, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 46.3899, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4611, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, kb_relative_information_score: 40.9067, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.6914, kappa: 0.2333, kb_relative_information_score: 158.1587, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6986, predictive_accuracy: 0.724, prior_entropy: 0.8818, recall: 0.724, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.424, root_relative_squared_error: 0.9252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.648, kappa: 0.1291, kb_relative_information_score: 148.2385, mean_absolute_error: 0.3499, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6664, predictive_accuracy: 0.706, prior_entropy: 0.8818, recall: 0.706, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.437, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6197, f_measure: 0.6582, kappa: 0.1615, kb_relative_information_score: -38.5124, mean_absolute_error: 0.4166, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6507, predictive_accuracy: 0.674, prior_entropy: 0.8818, recall: 0.674, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4615, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.7058, kappa: 0.2711, kb_relative_information_score: 155.5897, mean_absolute_error: 0.3469, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7082, predictive_accuracy: 0.73, prior_entropy: 0.8818, recall: 0.73, relative_absolute_error: 0.8257, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.9379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.4055, mean_absolute_error: 0.4187, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -11.8313, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.7533, mean_absolute_error: 0.4198, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.4947, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, 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