Task
Supervised Classification on cmc

Supervised Classification on cmc

Task 23 Supervised Classification cmc 19084 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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19084 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 11.2684, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.5284, kappa: 0.2721, kb_relative_information_score: 249.1753, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5343, predictive_accuracy: 0.5418, prior_entropy: 1.5392, recall: 0.5418, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.4967, kappa: 0.231, kb_relative_information_score: 163.08, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5121, predictive_accuracy: 0.5234, prior_entropy: 1.5392, recall: 0.5234, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, kappa: 0.0599, kb_relative_information_score: 45.3581, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4392, prior_entropy: 1.5392, recall: 0.4392, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4603, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 2.7639, mean_absolute_error: 0.4316, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.5127, kappa: 0.245, kb_relative_information_score: 358.49, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5123, predictive_accuracy: 0.5132, prior_entropy: 1.5392, recall: 0.5132, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.684, f_measure: 0.5017, kappa: 0.2283, kb_relative_information_score: 280.2483, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.505, predictive_accuracy: 0.5139, prior_entropy: 1.5392, recall: 0.5139, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 78.4364, mean_absolute_error: 0.4361, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0121, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 28.665, mean_absolute_error: 0.4368, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.3469, prior_entropy: 1.5392, recall: 0.3469, relative_absolute_error: 1.0138, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4711, root_relative_squared_error: 1.0151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.525, kb_relative_information_score: 9.9492, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 2.861, mean_absolute_error: 0.4313, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.5163, kappa: 0.2495, kb_relative_information_score: 193.6081, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5207, predictive_accuracy: 0.5193, prior_entropy: 1.5392, recall: 0.5193, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 22.7135, mean_absolute_error: 0.4287, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.531, kappa: 0.2699, kb_relative_information_score: 232.605, mean_absolute_error: 0.391, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5404, predictive_accuracy: 0.5431, prior_entropy: 1.5392, recall: 0.5431, relative_absolute_error: 0.9076, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.9473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 9.7881, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 20.8954, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7202, f_measure: 0.5381, kappa: 0.2826, kb_relative_information_score: 302.6502, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.538, predictive_accuracy: 0.5445, prior_entropy: 1.5392, recall: 0.5445, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 12.7132, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5666, kb_relative_information_score: 13.2738, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 21.7891, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 5.2264, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 18.9791, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, kb_relative_information_score: 16.0636, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 84.6826, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4721, root_relative_squared_error: 1.0172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 34.337, mean_absolute_error: 0.4267, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 22.9569, mean_absolute_error: 0.4304, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.465, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 13.0349, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 5.7981, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 6.0979, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6516, f_measure: 0.5039, kappa: 0.2313, kb_relative_information_score: 209.8355, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5035, predictive_accuracy: 0.5112, prior_entropy: 1.5392, recall: 0.5112, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.4952, kappa: 0.2282, kb_relative_information_score: 144.5931, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5424, predictive_accuracy: 0.5302, prior_entropy: 1.5392, recall: 0.5302, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kappa: 0.0005, kb_relative_information_score: 135.3866, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.3714, prior_entropy: 1.5392, recall: 0.3714, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6474, root_relative_squared_error: 1.3949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 31.4717, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.2261, prior_entropy: 1.5392, recall: 0.2261, relative_absolute_error: 1.0393, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 7.032, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 0.7754, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.5457, kappa: 0.2964, kb_relative_information_score: 376.2921, mean_absolute_error: 0.3501, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5473, predictive_accuracy: 0.5506, prior_entropy: 1.5392, recall: 0.5506, relative_absolute_error: 0.8126, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.9316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.5429, kappa: 0.29, kb_relative_information_score: 311.5492, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5426, predictive_accuracy: 0.5485, prior_entropy: 1.5392, recall: 0.5485, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.9345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, kappa: 0.1964, kb_relative_information_score: 155.7405, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.5003, prior_entropy: 1.5392, recall: 0.5003, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, kappa: 0.0048, kb_relative_information_score: 74.6438, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4277, prior_entropy: 1.5392, recall: 0.4277, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 48.758, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9881, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4656, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.499, kappa: 0.2418, kb_relative_information_score: 183.6546, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.536, predictive_accuracy: 0.5295, prior_entropy: 1.5392, recall: 0.5295, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 16.7726, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.4265, kappa: 0.1539, kb_relative_information_score: 93.4496, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4781, predictive_accuracy: 0.4922, prior_entropy: 1.5392, recall: 0.4922, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.5324, kappa: 0.2746, kb_relative_information_score: 250.4411, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5342, predictive_accuracy: 0.5418, prior_entropy: 1.5392, recall: 0.5418, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 87.54, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4741, root_relative_squared_error: 1.0214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 13.0936, mean_absolute_error: 0.4303, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.546, kappa: 0.2944, kb_relative_information_score: 286.563, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5489, predictive_accuracy: 0.554, prior_entropy: 1.5392, recall: 0.554, relative_absolute_error: 0.8749, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 11.007, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.5365, kappa: 0.2807, kb_relative_information_score: 285.3673, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5377, predictive_accuracy: 0.5458, prior_entropy: 1.5392, recall: 0.5458, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 5.6478, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 13.9037, mean_absolute_error: 0.4342, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.5197, kappa: 0.2547, kb_relative_information_score: 264.4125, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5212, predictive_accuracy: 0.5302, prior_entropy: 1.5392, recall: 0.5302, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 17.5975, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 1.7018, mean_absolute_error: 0.431, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 217.8196, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 26.3632, mean_absolute_error: 0.4305, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 16.6767, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5365, kappa: 0.0373, kb_relative_information_score: 53.011, mean_absolute_error: 0.4267, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4304, prior_entropy: 1.5392, recall: 0.4304, relative_absolute_error: 0.9903, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6848, f_measure: 0.5071, kappa: 0.2347, kb_relative_information_score: 204.807, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5152, predictive_accuracy: 0.5173, prior_entropy: 1.5392, recall: 0.5173, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 7.7314, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 8.2445, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.5033, kappa: 0.232, kb_relative_information_score: 168.9789, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5176, predictive_accuracy: 0.5241, prior_entropy: 1.5392, recall: 0.5241, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.442, root_relative_squared_error: 0.9523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 38.4103, mean_absolute_error: 0.4269, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.465, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 8.2573, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 11.2802, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7369, f_measure: 0.5494, kappa: 0.302, kb_relative_information_score: 291.7668, mean_absolute_error: 0.3748, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5504, predictive_accuracy: 0.5587, prior_entropy: 1.5392, recall: 0.5587, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.9573, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.5203, kappa: 0.2603, kb_relative_information_score: 220.5174, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5292, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, f_measure: 0.5237, kappa: 0.2634, kb_relative_information_score: 311.1679, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5271, predictive_accuracy: 0.5356, prior_entropy: 1.5392, recall: 0.5356, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 2.1555, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.5151, kappa: 0.2489, kb_relative_information_score: 209.1098, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5275, predictive_accuracy: 0.5322, prior_entropy: 1.5392, recall: 0.5322, relative_absolute_error: 0.9174, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, f_measure: 0.5319, kappa: 0.2738, kb_relative_information_score: 313.4571, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5304, predictive_accuracy: 0.5377, prior_entropy: 1.5392, recall: 0.5377, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.5468, kappa: 0.2995, kb_relative_information_score: 260.457, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5535, predictive_accuracy: 0.5553, prior_entropy: 1.5392, recall: 0.5553, relative_absolute_error: 0.8918, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 20.0186, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4649, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 4.7741, mean_absolute_error: 0.4309, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 7.8871, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 4.6247, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.5439, kappa: 0.2931, kb_relative_information_score: 311.7416, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.555, predictive_accuracy: 0.5499, prior_entropy: 1.5392, recall: 0.5499, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 8.5407, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 17.2286, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.5055, kappa: 0.2329, kb_relative_information_score: 266.0321, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5046, predictive_accuracy: 0.5119, prior_entropy: 1.5392, recall: 0.5119, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5609, kb_relative_information_score: 31.9597, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 13.1494, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 29.9243, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, kappa: 0.1484, kb_relative_information_score: 163.3337, mean_absolute_error: 0.4022, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4827, prior_entropy: 1.5392, recall: 0.4827, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.449, root_relative_squared_error: 0.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 4.9489, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 30.413, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -68.3732, mean_absolute_error: 0.516, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.2261, prior_entropy: 1.5392, recall: 0.2261, relative_absolute_error: 1.1976, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.7183, root_relative_squared_error: 1.5477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 7.0689, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 39.4697, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4656, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 3.5, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 8.0628, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.5081, kappa: 0.2373, kb_relative_information_score: 252.417, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5084, predictive_accuracy: 0.5166, prior_entropy: 1.5392, recall: 0.5166, relative_absolute_error: 0.8985, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 3.6231, mean_absolute_error: 0.4311, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4641, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 57.8124, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4696, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 3.5172, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4642, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 8.7659, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4645, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 6.2963, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0005,

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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