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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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -314.1819, mean_absolute_error: 0.6572, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.3428, prior_entropy: 0.9279, recall: 0.3428, relative_absolute_error: 1.4582, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.8107, root_relative_squared_error: 1.7081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5102, kb_relative_information_score: -4.7426, 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: 0.475, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.588, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: 3.1934, mean_absolute_error: 0.4417, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4312, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: -23.1595, 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: 0.4755, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, kb_relative_information_score: -37.6226, mean_absolute_error: 0.4655, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0328, 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: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, kb_relative_information_score: 6.6533, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.987, 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: 0.5116, f_measure: 0.4503, kappa: 0.0189, kb_relative_information_score: -159.0021, mean_absolute_error: 0.5458, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5628, predictive_accuracy: 0.4542, prior_entropy: 0.9279, recall: 0.4542, relative_absolute_error: 1.2109, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7388, root_relative_squared_error: 1.5565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6397, f_measure: 0.5485, kappa: 0.0055, kb_relative_information_score: 34.2927, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5551, predictive_accuracy: 0.6373, prior_entropy: 0.9279, recall: 0.6373, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -20.5877, 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: 0.4758, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -39.569, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0345, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -314.1819, mean_absolute_error: 0.6572, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.3428, prior_entropy: 0.9279, recall: 0.3428, relative_absolute_error: 1.4582, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.8107, root_relative_squared_error: 1.7081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5406, kb_relative_information_score: 2.8647, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.5554, kappa: -0.0111, kb_relative_information_score: 11.4841, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5434, predictive_accuracy: 0.5973, prior_entropy: 0.9279, recall: 0.5973, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -15.8698, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0133, 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: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -1.3321, 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: 0.4923, kb_relative_information_score: -8.4606, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0066, 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: 0.4997, kb_relative_information_score: 12.4638, mean_absolute_error: 0.4418, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9801, 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: 0.5581, kb_relative_information_score: 11.1008, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9729, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -8.5779, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0059, 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: 8.7314, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9862, 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: -2.3581, mean_absolute_error: 0.4515, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0018, 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: 0.5861, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: 4.1952, mean_absolute_error: 0.4426, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4312, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4703, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: -3.2701, 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: 0.4751, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.5281, kappa: 0.0094, kb_relative_information_score: 3.8395, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6615, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9849, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: -1.5362, 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: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5536, f_measure: 0.5, kappa: -0.0952, kb_relative_information_score: -14.7709, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.439, predictive_accuracy: 0.604, prior_entropy: 0.9279, recall: 0.604, relative_absolute_error: 0.9916, 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: -14.2062, 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: 1.0119, 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: 0.5114, f_measure: 0.3239, kappa: 0.0166, kb_relative_information_score: -242.3823, mean_absolute_error: 0.6057, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5771, predictive_accuracy: 0.3943, prior_entropy: 0.9279, recall: 0.3943, relative_absolute_error: 1.3438, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7782, root_relative_squared_error: 1.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.533, kappa: -0.0083, kb_relative_information_score: 11.3695, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5353, predictive_accuracy: 0.6423, prior_entropy: 0.9279, recall: 0.6423, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 7.2455, 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: 0.9821, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4781, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, kb_relative_information_score: 2.3767, mean_absolute_error: 0.4483, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9946, 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: 2.1669, 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: 0.6788, f_measure: 0.4982, kappa: -0.1012, kb_relative_information_score: 36.7656, mean_absolute_error: 0.4216, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4371, predictive_accuracy: 0.6007, prior_entropy: 0.9279, recall: 0.6007, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -47.433, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0394, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.481, root_relative_squared_error: 1.0135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, kb_relative_information_score: -6.2731, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.5799, kappa: 0.0437, kb_relative_information_score: 1.6105, mean_absolute_error: 0.4367, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.571, predictive_accuracy: 0.6057, prior_entropy: 0.9279, recall: 0.6057, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4603, kb_relative_information_score: 14.0009, mean_absolute_error: 0.4406, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 1.5982, 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: 0.4923, kb_relative_information_score: 1.414, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9978, 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: 6.7214, 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: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 6.6021, 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: 0.9893, 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: 0.8155, f_measure: 0.7011, kappa: 0.3195, kb_relative_information_score: 122.5434, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7085, predictive_accuracy: 0.7205, prior_entropy: 0.9279, recall: 0.7205, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: -7.2236, mean_absolute_error: 0.4534, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.006, 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: -11.7302, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0091, 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: -15.1501, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0127, 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: 0.6599, f_measure: 0.6129, kappa: 0.1195, kb_relative_information_score: 50.0285, mean_absolute_error: 0.4058, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6144, predictive_accuracy: 0.6489, prior_entropy: 0.9279, recall: 0.6489, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4737, f_measure: 0.5408, kappa: -0.0308, kb_relative_information_score: -10.2852, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5355, predictive_accuracy: 0.5474, prior_entropy: 0.9279, recall: 0.5474, relative_absolute_error: 0.9761, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.1457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 29.7304, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.951, 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: 0.5088, kb_relative_information_score: 9.7392, mean_absolute_error: 0.4416, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -39.001, 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: 1.034, 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: 0.5341, kb_relative_information_score: -7.829, 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: 0.4743, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -6.1282, 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: 1.0049, 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: 0.5362, kb_relative_information_score: -4.747, 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: 0.9908, 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: 0.4997, kb_relative_information_score: -71.1501, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.066, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.721, kappa: 0.3649, kb_relative_information_score: 126.8921, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7305, predictive_accuracy: 0.7388, prior_entropy: 0.9279, recall: 0.7388, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.553, kappa: 0.0008, kb_relative_information_score: -56.6091, mean_absolute_error: 0.4744, 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: 1.0525, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4831, root_relative_squared_error: 1.0177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 1.5608, 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: 0.493, kb_relative_information_score: -1.4682, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0005, 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: -61.4721, mean_absolute_error: 0.4758, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0557, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.0142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 54.2319, 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: 0.9071, 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: 0.4923, kb_relative_information_score: -28.0873, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.024, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.6589, kappa: 0.2275, kb_relative_information_score: 120.7429, mean_absolute_error: 0.3521, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6554, predictive_accuracy: 0.6705, prior_entropy: 0.9279, recall: 0.6705, relative_absolute_error: 0.7811, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, kb_relative_information_score: 2.4962, 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: 0.9954, 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: 4.7083, 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: 0.5439, f_measure: 0.5512, kappa: -0.002, kb_relative_information_score: -20.0977, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5479, predictive_accuracy: 0.6256, prior_entropy: 0.9279, recall: 0.6256, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 3.2246, 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: 0.9949, 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: 0.4884, kb_relative_information_score: -7.9268, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0039, 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: 0.5, kb_relative_information_score: 123.564, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5157, f_measure: 0.5275, kappa: -0.0369, kb_relative_information_score: 1.4425, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5084, predictive_accuracy: 0.624, prior_entropy: 0.9279, recall: 0.624, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.486, root_relative_squared_error: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -20.372, 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: 1.0172, 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: 24.903, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4782, root_relative_squared_error: 1.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5164, kb_relative_information_score: 0.0628, 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: 0.4751, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8252, kappa: 0.6087, kb_relative_information_score: 245.711, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8247, predictive_accuracy: 0.827, prior_entropy: 0.9279, recall: 0.827, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.7849, kappa: 0.5129, kb_relative_information_score: 199.5024, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7879, predictive_accuracy: 0.792, prior_entropy: 0.9279, recall: 0.792, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.8004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -6.5409, 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: 0.4997, kb_relative_information_score: -76.4957, mean_absolute_error: 0.483, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0715, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4861, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -12.5769, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0105, 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: 0.6489, f_measure: 0.5677, kappa: 0.0257, kb_relative_information_score: 25.8282, mean_absolute_error: 0.4243, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5664, predictive_accuracy: 0.6273, prior_entropy: 0.9279, recall: 0.6273, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -13.4665, mean_absolute_error: 0.4558, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0112, 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: 0.4997, kb_relative_information_score: -39.3098, mean_absolute_error: 0.4662, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0343, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 1.8895, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: -161.9909, mean_absolute_error: 0.5301, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.3428, prior_entropy: 0.9279, recall: 0.3428, relative_absolute_error: 1.1762, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5378, root_relative_squared_error: 1.1332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -18.7481, 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: 1.0158, 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: -0.9987, mean_absolute_error: 0.4509, 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: 0.5003, kb_relative_information_score: 16.5739, mean_absolute_error: 0.4387, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -2.8118, 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: 0.4764, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, kb_relative_information_score: -1.675, 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: 0.4747, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.2383, 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: 0.9821, 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: 0.4927, f_measure: 0.4501, kappa: -0.0141, kb_relative_information_score: -168.2666, mean_absolute_error: 0.5524, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5403, predictive_accuracy: 0.4476, prior_entropy: 0.9279, recall: 0.4476, relative_absolute_error: 1.2256, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.7432, root_relative_squared_error: 1.5659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: -27.9937, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0239, 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: 0.4997, f_measure: 0.2853, kappa: -0.0005, kb_relative_information_score: -112.3851, mean_absolute_error: 0.5011, 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: 1.1117, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.0757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: 14.7199, mean_absolute_error: 0.4395, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.6021, kappa: 0.0964, kb_relative_information_score: 35.457, mean_absolute_error: 0.4208, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6043, predictive_accuracy: 0.6439, prior_entropy: 0.9279, recall: 0.6439, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4593, root_relative_squared_error: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, kb_relative_information_score: -0.1438, mean_absolute_error: 0.4501, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9987, 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, f_measure: 0.5261, kappa: -0.0141, kb_relative_information_score: -22.1882, mean_absolute_error: 0.4594, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.516, predictive_accuracy: 0.6439, prior_entropy: 0.9279, recall: 0.6439, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.0193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.493, kb_relative_information_score: 14.347, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, kb_relative_information_score: 1.8619, 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: 0.4748, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -14.8275, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4507, number_of_instances: 601, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0008,

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

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