Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3493 Supervised Classification monks-problems-2 129649 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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129649 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 589.1033, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 0.9279, recall: 0.9917, relative_absolute_error: 0.0185, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.1922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -69.6538, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0641, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4835, root_relative_squared_error: 1.0188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, kb_relative_information_score: 5.7249, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: -6.586, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -43.4281, mean_absolute_error: 0.4679, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0382, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.478, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -1.496, mean_absolute_error: 0.4512, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 29.9999, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9507, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4798, root_relative_squared_error: 1.0108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 2.4566, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9957, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 2.1007, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 0.6585, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: 11.1291, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5081, kb_relative_information_score: -22.1719, mean_absolute_error: 0.4587, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0177, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 6.7014, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 6.5797, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: -1.449, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 11.8757, mean_absolute_error: 0.4422, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 1.669, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 1.3416, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 13.2548, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -12.8906, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0095, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5051, kb_relative_information_score: -10.1538, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5257, kb_relative_information_score: -16.4678, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0129, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -2.9713, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 18.908, mean_absolute_error: 0.437, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9695, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 5.2586, mean_absolute_error: 0.447, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -9.4128, mean_absolute_error: 0.4542, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.486, kb_relative_information_score: -12.9481, mean_absolute_error: 0.4556, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0108, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -22.3496, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0189, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 24.3814, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 17.3714, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, kb_relative_information_score: -7.3859, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0061, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -5.3463, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -8.9501, mean_absolute_error: 0.4541, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0074, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: -5.3519, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: 17.1932, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9724, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: 4.6388, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -3.5708, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -6.3672, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -15.255, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0128, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -189.5099, mean_absolute_error: 0.5485, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.3428, prior_entropy: 0.9279, recall: 0.3428, relative_absolute_error: 1.217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5677, root_relative_squared_error: 1.1961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6094, f_measure: 0.5214, kappa: -0.0169, kb_relative_information_score: 10.0175, mean_absolute_error: 0.4378, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4923, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -26.9753, mean_absolute_error: 0.4611, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -1.97, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: 1.0736, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 24.499, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: -7.6192, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -46.5054, mean_absolute_error: 0.4692, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0411, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -13.2027, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.011, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, kb_relative_information_score: 10.0907, mean_absolute_error: 0.4435, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 4.9453, mean_absolute_error: 0.4466, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: 7.6183, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -4.4235, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -0.099, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 64.5993, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 1.17, mean_absolute_error: 0.4499, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -108.46, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.1069, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -16.4362, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0138, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.424, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: -0.1986, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -17.5929, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: 0.705, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5024, kb_relative_information_score: -28.6982, mean_absolute_error: 0.4618, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0246, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -23.6555, mean_absolute_error: 0.4598, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0202, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 11.4257, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 28.5331, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4793, root_relative_squared_error: 1.0097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5228, kb_relative_information_score: 6.2799, mean_absolute_error: 0.4451, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 4.1706, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -11.7899, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0098, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, kb_relative_information_score: -23.1156, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0196, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 18.1895, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: -41.7285, mean_absolute_error: 0.4672, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0366, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -37.5083, mean_absolute_error: 0.4654, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0326, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, kb_relative_information_score: -14.4581, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, kb_relative_information_score: 35.9162, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.0235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, kb_relative_information_score: 0.5428, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.7923, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 4.0331, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -19.4139, mean_absolute_error: 0.4581, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0164, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 3.1235, mean_absolute_error: 0.4485, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, kb_relative_information_score: -22.9814, mean_absolute_error: 0.4595, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0196, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 2.0236, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: -6.5015, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, kb_relative_information_score: -13.9712, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0117, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 1.9947, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, kb_relative_information_score: 21.8563, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -11.4327, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0095, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 7.5626, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.988, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: 2.8227, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5334, kb_relative_information_score: 8.6078, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9857, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kb_relative_information_score: 9.8108, mean_absolute_error: 0.4437, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9844, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -87.6663, mean_absolute_error: 0.4884, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0836, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: 0.209, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 14.7069, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 10.9113, mean_absolute_error: 0.4429, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: 20.8442, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, kb_relative_information_score: 2.6839, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4836, kb_relative_information_score: 34.8923, mean_absolute_error: 0.4235, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, kb_relative_information_score: 5.1392, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.985, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -120.736, mean_absolute_error: 0.5056, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.3428, prior_entropy: 0.9279, recall: 0.3428, relative_absolute_error: 1.1217, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5059, root_relative_squared_error: 1.0658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 1.42, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001,

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