Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3493 Supervised Classification monks-problems-2 126521 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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126521 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, kb_relative_information_score: 3.1209, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9887, 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: 82.9641, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.8503, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5212, root_relative_squared_error: 1.0981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 18.6396, mean_absolute_error: 0.4372, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -9.1582, 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: 1.0076, 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: 12.9361, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9794, 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: -40.6375, mean_absolute_error: 0.4661, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0341, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -0.6487, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.5503, kappa: 0.0292, kb_relative_information_score: 30.8867, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5994, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 26.525, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9566, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 5.9825, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9901, 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: 0.532, f_measure: 0.5289, kappa: 0.0127, kb_relative_information_score: -3.4574, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7762, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 42.6205, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.0232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -5.7028, mean_absolute_error: 0.4528, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0047, 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: 56.6066, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4946, root_relative_squared_error: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 11.5099, 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: 0.9817, 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: 0.493, kb_relative_information_score: 17.4754, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9719, 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: 0.5003, kb_relative_information_score: 66.017, mean_absolute_error: 0.3987, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.8846, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 54.1185, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4928, root_relative_squared_error: 1.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -13.3163, 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: 1.0111, 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: 0.5433, f_measure: 0.5738, kappa: 0.0296, kb_relative_information_score: -5.6602, mean_absolute_error: 0.441, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.565, predictive_accuracy: 0.609, prior_entropy: 0.9279, recall: 0.609, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5253, kb_relative_information_score: -7.0381, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9925, 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: 0.5, kb_relative_information_score: -9.5673, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0079, 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: -9.2992, 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: 1.0077, 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: 6.5119, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9897, 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: 0.4923, kb_relative_information_score: 0.2675, 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: 0.9988, 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: 0.5307, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -0.7781, mean_absolute_error: 0.447, 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: 0.9917, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5214, kb_relative_information_score: 2.3219, 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: 0.9931, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 6.4127, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9899, 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: -13.3486, 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: 1.0111, 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: 0.4664, f_measure: 0.5465, kappa: -0.0304, kb_relative_information_score: -17.5426, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5324, predictive_accuracy: 0.5923, prior_entropy: 0.9279, recall: 0.5923, relative_absolute_error: 1.0111, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4943, root_relative_squared_error: 1.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -1.752, 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: 1.0001, 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: 0.4905, f_measure: 0.5433, kappa: -0.0166, kb_relative_information_score: -18.8083, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5357, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4916, root_relative_squared_error: 1.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.6654, kappa: 0.2609, kb_relative_information_score: 92.3695, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6671, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.826, 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: 0.6254, f_measure: 0.5578, kappa: 0.0058, kb_relative_information_score: 19.1608, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5535, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 3.9371, 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: 0.4774, kb_relative_information_score: -8.2857, 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: 1.0062, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 2.3446, 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: 0.4753, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.5901, kappa: 0.0802, kb_relative_information_score: 15.3816, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5858, predictive_accuracy: 0.5957, prior_entropy: 0.9279, recall: 0.5957, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5556, root_relative_squared_error: 1.1706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 7.3135, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9884, 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: 0.493, kb_relative_information_score: 10.5368, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9833, 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: 0.4858, kb_relative_information_score: -0.503, 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: 0.9999, 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: 0.5347, f_measure: 0.5221, kappa: -0.084, kb_relative_information_score: -29.8377, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5003, predictive_accuracy: 0.5757, prior_entropy: 0.9279, recall: 0.5757, relative_absolute_error: 1.0192, 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: 0.5043, kb_relative_information_score: 0.8311, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9902, 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: -49.4397, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0439, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: 11.6443, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9815, 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: 0.5003, kb_relative_information_score: 49.3862, mean_absolute_error: 0.4129, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.5198, kappa: 0.0019, kb_relative_information_score: -84.8864, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5504, predictive_accuracy: 0.5075, prior_entropy: 0.9279, recall: 0.5075, relative_absolute_error: 1.0927, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, kb_relative_information_score: 30.2574, mean_absolute_error: 0.4265, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9463, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4807, root_relative_squared_error: 1.0128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.6155, kappa: 0.1289, kb_relative_information_score: -17.3647, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6096, predictive_accuracy: 0.629, prior_entropy: 0.9279, recall: 0.629, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -9.0769, 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: 0.493, kb_relative_information_score: 0.9981, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.5054, kappa: -0.0144, kb_relative_information_score: -105.7315, mean_absolute_error: 0.5075, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5422, predictive_accuracy: 0.4925, prior_entropy: 0.9279, recall: 0.4925, relative_absolute_error: 1.126, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7124, root_relative_squared_error: 1.5009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -63.7161, mean_absolute_error: 0.4765, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0571, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: -24.7645, mean_absolute_error: 0.4602, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0211, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 12.777, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9796, 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: 0.5003, kb_relative_information_score: -18.5245, mean_absolute_error: 0.4578, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0156, 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: 0.4997, kb_relative_information_score: 4.5158, 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: 0.4747, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: -0.4242, mean_absolute_error: 0.4492, 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: 0.4755, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -13.3834, 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: 0.475, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 25.1248, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 14.7181, 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: 0.9764, 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: 0.493, kb_relative_information_score: -22.3651, mean_absolute_error: 0.4593, 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: 0.4755, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, f_measure: 0.5165, kappa: -0.0198, kb_relative_information_score: 27.2646, mean_absolute_error: 0.4256, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4297, predictive_accuracy: 0.6473, prior_entropy: 0.9279, recall: 0.6473, relative_absolute_error: 0.9443, 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: -9.542, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.008, 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: -17.1902, 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: 1.0145, 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: 0.4923, kb_relative_information_score: -1.5654, 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: 0.4747, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.2853, kappa: -0.0005, kb_relative_information_score: -270.1757, mean_absolute_error: 0.6256, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5484, predictive_accuracy: 0.3744, prior_entropy: 0.9279, recall: 0.3744, relative_absolute_error: 1.3881, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.791, root_relative_squared_error: 1.6665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -10.1165, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0048, 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: 0.5003, kb_relative_information_score: 20.0656, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.2863, kappa: 0.003, kb_relative_information_score: -267.8596, mean_absolute_error: 0.624, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.556, predictive_accuracy: 0.376, prior_entropy: 0.9279, recall: 0.376, relative_absolute_error: 1.3844, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7899, root_relative_squared_error: 1.6643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: 1.9805, 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: 0.9959, 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: 0.5075, kb_relative_information_score: 8.6361, mean_absolute_error: 0.4442, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9855, 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: 0.5555, f_measure: 0.5259, kappa: -0.0074, kb_relative_information_score: 4.5595, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5246, predictive_accuracy: 0.6489, prior_entropy: 0.9279, recall: 0.6489, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 31.0005, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4801, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5086, f_measure: 0.3977, kappa: 0.0133, kb_relative_information_score: -200.6922, mean_absolute_error: 0.5757, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.562, predictive_accuracy: 0.4243, prior_entropy: 0.9279, recall: 0.4243, relative_absolute_error: 1.2773, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7588, root_relative_squared_error: 1.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: 13.3498, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9787, 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: 0.4947, f_measure: 0.5239, kappa: -0.0071, kb_relative_information_score: -48.8957, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5168, predictive_accuracy: 0.6506, prior_entropy: 0.9279, recall: 0.6506, relative_absolute_error: 1.0443, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4807, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 13.7957, mean_absolute_error: 0.4408, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9779, 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: 0.507, kb_relative_information_score: 27.9362, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6154, kappa: 0.1243, kb_relative_information_score: 33.85, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6129, predictive_accuracy: 0.6439, prior_entropy: 0.9279, recall: 0.6439, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, kb_relative_information_score: -1.3905, 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: 0.4749, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5416, f_measure: 0.549, kappa: -0.0263, kb_relative_information_score: -25.8651, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5365, predictive_accuracy: 0.5757, prior_entropy: 0.9279, recall: 0.5757, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: -6.7152, 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: 1.0056, 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: 56.7322, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4947, root_relative_squared_error: 1.0422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, kb_relative_information_score: 10.8589, mean_absolute_error: 0.4424, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9815, 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: 0.4997, kb_relative_information_score: -54.2393, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0486, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.57, kappa: 0.0394, kb_relative_information_score: -17.1844, mean_absolute_error: 0.4538, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5802, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.6367, kappa: 0.1746, kb_relative_information_score: 66.3992, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6477, predictive_accuracy: 0.6739, prior_entropy: 0.9279, recall: 0.6739, relative_absolute_error: 0.8849, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -89.6612, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0855, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 4.7002, 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: 0.4747, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.4534, kappa: -0.008, kb_relative_information_score: -163.6344, mean_absolute_error: 0.5491, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5443, predictive_accuracy: 0.4509, prior_entropy: 0.9279, recall: 0.4509, relative_absolute_error: 1.2182, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.741, root_relative_squared_error: 1.5612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5142, f_measure: 0.5256, kappa: -0.0005, kb_relative_information_score: 4.8941, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5462, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 35.0569, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9419, 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: 0.5237, f_measure: 0.5043, kappa: -0.08, kb_relative_information_score: -14.6199, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4441, predictive_accuracy: 0.6123, prior_entropy: 0.9279, recall: 0.6123, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4808, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -27.1581, mean_absolute_error: 0.4612, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0232, 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: 0.5003, kb_relative_information_score: -10.1439, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0084, 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: 0.5724, f_measure: 0.5412, kappa: 0.0037, kb_relative_information_score: 7.8755, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5548, predictive_accuracy: 0.6439, prior_entropy: 0.9279, recall: 0.6439, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5489, f_measure: 0.5165, kappa: -0.0198, kb_relative_information_score: -10.6271, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4297, predictive_accuracy: 0.6473, prior_entropy: 0.9279, recall: 0.6473, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.553, kappa: 0.0008, kb_relative_information_score: -62.4324, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5501, predictive_accuracy: 0.6256, prior_entropy: 0.9279, recall: 0.6256, relative_absolute_error: 1.0583, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4845, root_relative_squared_error: 1.0208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, kb_relative_information_score: -1.8806, 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: 0.4752, root_relative_squared_error: 1.0012,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs