OpenML
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3493 Supervised Classification monks-problems-2 129575 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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129575 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4936, kb_relative_information_score: -28.3836, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0243, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: 4.0856, 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: 0.9936, 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: -4.1307, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0032, 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: 0.5069, kb_relative_information_score: -32.1759, mean_absolute_error: 0.4632, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0278, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -0.0936, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, 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: 4.9631, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9921, 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: 0.493, kb_relative_information_score: 1.0541, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: -9.0275, 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: 1.0075, 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: 0.492, kb_relative_information_score: 35.0072, mean_absolute_error: 0.4246, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 8.4536, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9866, 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: 0.491, kb_relative_information_score: -3.1776, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0026, 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: -3.1874, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0026, 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: 7.4051, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9883, 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: -7.6513, 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: 0.4923, kb_relative_information_score: -11.8591, 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: 0.4749, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 0.5617, 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: 13.0986, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9791, 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: 1.725, 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: 0.9973, 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: 0.5655, kb_relative_information_score: 8.4886, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9866, 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: 0.5003, kb_relative_information_score: 9.627, mean_absolute_error: 0.4438, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9847, 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: 0.4923, kb_relative_information_score: -14.345, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.012, 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: 0.5134, f_measure: 0.5373, kappa: -0.0253, kb_relative_information_score: -9.1467, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5266, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.485, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, kb_relative_information_score: -3.9501, 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: 1.0027, 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: 0.491, kb_relative_information_score: 3.8188, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.994, 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: -11.2639, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0094, 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: 0.493, kb_relative_information_score: -14.4579, mean_absolute_error: 0.4562, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0121, 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: 0.5084, kb_relative_information_score: 40.3378, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4843, root_relative_squared_error: 1.0203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -13.2269, 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: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -1.5186, 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: 0.491, kb_relative_information_score: 0.4734, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9993, 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: 0.4832, kb_relative_information_score: 3.5612, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9944, 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: -0.0056, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, 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: 0.4923, kb_relative_information_score: -4.6332, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0033, 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: 0.5269, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: -14.404, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4308, predictive_accuracy: 0.6522, prior_entropy: 0.9279, recall: 0.6522, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 6.7414, mean_absolute_error: 0.4459, 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: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 28.4775, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4816, root_relative_squared_error: 1.0147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: -19.8921, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0168, 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: 0.5003, kb_relative_information_score: 6.9487, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.989, 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: 0.5368, kb_relative_information_score: 1.7947, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 3.7157, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.994, 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: 3.5472, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9944, 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: -8.4093, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.007, 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: 0.5003, kb_relative_information_score: -17.1981, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0144, 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: 0.4855, kb_relative_information_score: -3.4565, 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: 1.0028, 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: -8.6283, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0071, 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: -20.5562, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0174, 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: 0.4923, kb_relative_information_score: -4.5174, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0037, 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: 4.5452, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5698, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: 8.0913, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4316, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 2.4651, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9961, 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: 21.1632, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 0.2706, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9995, 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: -4.2347, 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: 0.4923, kb_relative_information_score: 3.9607, 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: 0.9938, 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: 0.5325, kb_relative_information_score: -1.542, mean_absolute_error: 0.4511, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0009, 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: 0.493, kb_relative_information_score: -3.6139, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0027, 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: 0.491, kb_relative_information_score: 5.1338, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9919, 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: 0.7388, f_measure: 0.5094, kappa: -0.0826, kb_relative_information_score: 48.4021, mean_absolute_error: 0.4137, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.468, predictive_accuracy: 0.604, prior_entropy: 0.9279, recall: 0.604, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, kb_relative_information_score: -21.3093, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.018, 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: 0.5036, kb_relative_information_score: -0.1788, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9995, 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: 0.4998, kb_relative_information_score: 15.7746, mean_absolute_error: 0.4393, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, kb_relative_information_score: -4.0003, 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: 1.0013, 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: 0.4889, kb_relative_information_score: -41.2876, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0362, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 4.9403, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9922, 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: 0.4923, kb_relative_information_score: 3.1928, 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: 0.995, 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: 0.5375, f_measure: 0.5786, kappa: 0.0423, kb_relative_information_score: -7.354, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.573, predictive_accuracy: 0.6206, prior_entropy: 0.9279, recall: 0.6206, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -63.5129, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0578, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -3.6519, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0027, 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: 0.5417, kb_relative_information_score: -0.13, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 10.6806, 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: 0.4754, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 7.5436, 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: 0.9881, 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: 0.5003, kb_relative_information_score: 0.6322, 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: 0.4746, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5126, kb_relative_information_score: 16.3914, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: 0.2429, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9993, 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: -3.2918, 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: 1.0013, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 42.6847, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.0238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -50.1066, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.479, root_relative_squared_error: 1.0092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -38.4574, mean_absolute_error: 0.4658, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0335, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.0052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -6.7262, 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: 1.0055, 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: 0.491, kb_relative_information_score: -19.0919, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0161, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, f_measure: 0.5173, kappa: -0.0165, kb_relative_information_score: -7.6364, mean_absolute_error: 0.4481, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4301, predictive_accuracy: 0.6489, prior_entropy: 0.9279, recall: 0.6489, relative_absolute_error: 0.9942, 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: 0.8848, f_measure: 0.7752, kappa: 0.5009, kb_relative_information_score: 278.6603, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7751, predictive_accuracy: 0.7754, prior_entropy: 0.9279, recall: 0.7754, relative_absolute_error: 0.5171, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7103, kappa: 0.3464, kb_relative_information_score: 170.2765, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7082, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.6981, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8234, kappa: 0.6116, kb_relative_information_score: 342.4429, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8258, predictive_accuracy: 0.822, prior_entropy: 0.9279, recall: 0.822, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.322, root_relative_squared_error: 0.6784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8809, kappa: 0.7372, kb_relative_information_score: 428.0726, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.882, predictive_accuracy: 0.8802, prior_entropy: 0.9279, recall: 0.8802, relative_absolute_error: 0.2766, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7986, f_measure: 0.7103, kappa: 0.3464, kb_relative_information_score: 171.0863, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7082, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.7937, kappa: 0.5421, kb_relative_information_score: 301.5109, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7937, predictive_accuracy: 0.7937, prior_entropy: 0.9279, recall: 0.7937, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8809, kappa: 0.7372, kb_relative_information_score: 427.8501, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.882, predictive_accuracy: 0.8802, prior_entropy: 0.9279, recall: 0.8802, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.7957, kappa: 0.5473, kb_relative_information_score: 294.7236, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7961, predictive_accuracy: 0.7953, prior_entropy: 0.9279, recall: 0.7953, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7083, kappa: 0.3417, kb_relative_information_score: 160.2138, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7063, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9109, kappa: 0.8042, kb_relative_information_score: 473.6966, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.913, predictive_accuracy: 0.9101, prior_entropy: 0.9279, recall: 0.9101, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7316, kappa: 0.3954, kb_relative_information_score: 208.9568, mean_absolute_error: 0.2836, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.73, predictive_accuracy: 0.7371, prior_entropy: 0.9279, recall: 0.7371, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.8222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.788, kappa: 0.5316, kb_relative_information_score: 288.9999, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7892, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.6931, kappa: 0.3059, kb_relative_information_score: 146.704, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6908, predictive_accuracy: 0.7022, prior_entropy: 0.9279, recall: 0.7022, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9405, kappa: 0.8689, kb_relative_information_score: 513.1103, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9417, predictive_accuracy: 0.9401, prior_entropy: 0.9279, recall: 0.9401, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8315, kappa: 0.6293, kb_relative_information_score: 346.0787, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8337, predictive_accuracy: 0.8303, prior_entropy: 0.9279, recall: 0.8303, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9134, kappa: 0.8075, kb_relative_information_score: 482.2117, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9133, predictive_accuracy: 0.9135, prior_entropy: 0.9279, recall: 0.9135, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.4623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9033, kappa: 0.7848, kb_relative_information_score: 464.03, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9031, predictive_accuracy: 0.9035, prior_entropy: 0.9279, recall: 0.9035, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9389, kappa: 0.8657, kb_relative_information_score: 510.5779, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9406, predictive_accuracy: 0.9384, prior_entropy: 0.9279, recall: 0.9384, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.7986, kappa: 0.5526, kb_relative_information_score: 297.7004, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7984, predictive_accuracy: 0.7987, prior_entropy: 0.9279, recall: 0.7987, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3462, root_relative_squared_error: 0.7295,

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