Task
Supervised Classification on cmc

Supervised Classification on cmc

Task 23 Supervised Classification cmc 16345 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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16345 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 6.8643, 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: 1.0001, 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: 0.6855, f_measure: 0.5362, kappa: 0.2801, kb_relative_information_score: 239.8588, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5431, predictive_accuracy: 0.5485, prior_entropy: 1.5392, recall: 0.5485, relative_absolute_error: 0.9039, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 1.4514, 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: 0.5009, kb_relative_information_score: 44.5493, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4661, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 36.8192, mean_absolute_error: 0.4328, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.3469, prior_entropy: 1.5392, recall: 0.3469, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4693, root_relative_squared_error: 1.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6691, f_measure: 0.4869, kappa: 0.226, kb_relative_information_score: 228.4979, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.52, predictive_accuracy: 0.5173, prior_entropy: 1.5392, recall: 0.5173, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.5155, kappa: 0.2487, kb_relative_information_score: 306.9915, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5145, predictive_accuracy: 0.5248, prior_entropy: 1.5392, recall: 0.5248, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 16.5617, mean_absolute_error: 0.4344, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0082, 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: 9.432, 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: 1.0068, 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: 0.4991, kb_relative_information_score: 44.7949, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4661, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kappa: -0.0005, kb_relative_information_score: 23.6148, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4026, prior_entropy: 1.5392, recall: 0.4026, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4661, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.487, kappa: 0.2087, kb_relative_information_score: 147.9891, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5028, predictive_accuracy: 0.5092, prior_entropy: 1.5392, recall: 0.5092, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.5404, kappa: 0.2872, kb_relative_information_score: 272.4811, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5417, predictive_accuracy: 0.5492, prior_entropy: 1.5392, recall: 0.5492, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kappa: 0.0005, kb_relative_information_score: 22.3681, mean_absolute_error: 0.4312, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.3714, prior_entropy: 1.5392, recall: 0.3714, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6494, f_measure: 0.512, kappa: 0.2507, kb_relative_information_score: 178.398, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5269, predictive_accuracy: 0.5295, prior_entropy: 1.5392, recall: 0.5295, relative_absolute_error: 0.9334, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 32.2848, 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: 0.9926, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4648, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, kb_relative_information_score: 14.1426, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9958, 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: 0.6872, f_measure: 0.5293, kappa: 0.2665, kb_relative_information_score: 275.5575, mean_absolute_error: 0.3809, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5347, predictive_accuracy: 0.537, prior_entropy: 1.5392, recall: 0.537, relative_absolute_error: 0.884, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, f_measure: 0.4649, kappa: 0.1792, kb_relative_information_score: 204.9226, mean_absolute_error: 0.3935, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.482, predictive_accuracy: 0.4956, prior_entropy: 1.5392, recall: 0.4956, relative_absolute_error: 0.9133, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.5333, kappa: 0.2774, kb_relative_information_score: 314.7401, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5379, predictive_accuracy: 0.5451, prior_entropy: 1.5392, recall: 0.5451, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, f_measure: 0.5361, kappa: 0.2816, kb_relative_information_score: 182.0174, mean_absolute_error: 0.402, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5498, predictive_accuracy: 0.5519, prior_entropy: 1.5392, recall: 0.5519, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 8.4835, 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: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 9.6922, mean_absolute_error: 0.4341, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0075, 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: 0.5625, f_measure: 0.411, kappa: 0.0858, kb_relative_information_score: 190.3512, mean_absolute_error: 0.4042, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4113, predictive_accuracy: 0.4128, prior_entropy: 1.5392, recall: 0.4128, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5211, root_relative_squared_error: 1.1228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 56.444, mean_absolute_error: 0.4822, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.2261, prior_entropy: 1.5392, recall: 0.2261, relative_absolute_error: 1.1193, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5656, root_relative_squared_error: 1.2187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 4.7947, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0023, 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: 0.6997, f_measure: 0.4563, kappa: 0.2129, kb_relative_information_score: 205.4025, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4935, predictive_accuracy: 0.52, prior_entropy: 1.5392, recall: 0.52, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 9.935, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0051, 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: 0.4984, kb_relative_information_score: 1.7138, 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: 0.9999, 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: 0.4995, kb_relative_information_score: 13.7641, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0082, 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: 0.5002, kb_relative_information_score: 3.5214, 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: 0.9997, 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: 0.4975, kb_relative_information_score: 1.5886, 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: 0.507, f_measure: 0.3142, kappa: 0.007, kb_relative_information_score: 59.119, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.361, predictive_accuracy: 0.3143, prior_entropy: 1.5392, recall: 0.3143, relative_absolute_error: 1.061, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6761, root_relative_squared_error: 1.4568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 31.3786, 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: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, f_measure: 0.4403, kappa: 0.1613, kb_relative_information_score: 131.7315, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4814, predictive_accuracy: 0.4908, prior_entropy: 1.5392, recall: 0.4908, relative_absolute_error: 0.9562, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.9662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.5284, kappa: 0.2717, kb_relative_information_score: 178.5367, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5476, predictive_accuracy: 0.5492, prior_entropy: 1.5392, recall: 0.5492, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 20.851, mean_absolute_error: 0.4296, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9971, 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: 0.4995, kb_relative_information_score: 3.7425, 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: 0.4642, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 15.1372, 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: 0.9988, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4644, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 14.5799, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9994, 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: 0.4984, kb_relative_information_score: 13.4737, 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: 0.9984, 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: 0.67, kb_relative_information_score: 24.0693, 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: 1.0003, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.5013, kappa: 0.2265, kb_relative_information_score: 338.9692, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4995, predictive_accuracy: 0.5092, prior_entropy: 1.5392, recall: 0.5092, relative_absolute_error: 0.8367, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kappa: 0.0005, kb_relative_information_score: 21.1067, mean_absolute_error: 0.4388, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.3714, prior_entropy: 1.5392, recall: 0.3714, relative_absolute_error: 1.0185, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4682, root_relative_squared_error: 1.0088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, kb_relative_information_score: 81.6758, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.525, kappa: 0.2648, kb_relative_information_score: 261.7469, mean_absolute_error: 0.3845, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5272, predictive_accuracy: 0.535, prior_entropy: 1.5392, recall: 0.535, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.9525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.5212, kappa: 0.2591, kb_relative_information_score: 193.3099, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5238, predictive_accuracy: 0.535, prior_entropy: 1.5392, recall: 0.535, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.44, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6863, f_measure: 0.5372, kappa: 0.2824, kb_relative_information_score: 184.646, mean_absolute_error: 0.4043, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5362, predictive_accuracy: 0.5451, prior_entropy: 1.5392, recall: 0.5451, relative_absolute_error: 0.9384, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 4.329, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0026, 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: 0.6381, f_measure: 0.4805, kappa: 0.1921, kb_relative_information_score: 238.5887, mean_absolute_error: 0.3911, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4792, predictive_accuracy: 0.4868, prior_entropy: 1.5392, recall: 0.4868, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.4967, kappa: 0.2181, kb_relative_information_score: 253.6416, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4961, predictive_accuracy: 0.5058, prior_entropy: 1.5392, recall: 0.5058, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.535, kappa: 0.2788, kb_relative_information_score: 273.8602, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5387, predictive_accuracy: 0.5458, prior_entropy: 1.5392, recall: 0.5458, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 2.8822, 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: 1.0006, 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: 0.4995, kb_relative_information_score: 13.7479, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0073, 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: 0.4984, kappa: -0.0005, kb_relative_information_score: 16.4924, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4026, prior_entropy: 1.5392, recall: 0.4026, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4659, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 81.2698, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.3469, prior_entropy: 1.5392, recall: 0.3469, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.472, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.5361, kappa: 0.2803, kb_relative_information_score: 236.9724, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5407, predictive_accuracy: 0.5465, prior_entropy: 1.5392, recall: 0.5465, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 59.332, mean_absolute_error: 0.4275, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4705, root_relative_squared_error: 1.0137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 31.3561, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.3469, prior_entropy: 1.5392, recall: 0.3469, relative_absolute_error: 1.0157, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4713, root_relative_squared_error: 1.0155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 11.7792, 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: 0.9984, 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: 0.7205, f_measure: 0.5437, kappa: 0.2916, kb_relative_information_score: 327.3675, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5445, predictive_accuracy: 0.5506, prior_entropy: 1.5392, recall: 0.5506, relative_absolute_error: 0.8493, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.9312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 26.6851, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9921, 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: 0.5, kb_relative_information_score: 25.9955, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.3469, prior_entropy: 1.5392, recall: 0.3469, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4675, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 2.8179, 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: 1.0012, 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: 0.5005, kb_relative_information_score: 34.4439, mean_absolute_error: 0.4272, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4653, root_relative_squared_error: 1.0027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 23.4846, mean_absolute_error: 0.4281, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9936, 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: 0.5005, kb_relative_information_score: 4.286, 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: 0.4641, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 42.3652, 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: 0.9882, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4664, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.5228, kappa: 0.261, kb_relative_information_score: 175.1988, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5358, predictive_accuracy: 0.5397, prior_entropy: 1.5392, recall: 0.5397, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4439, root_relative_squared_error: 0.9565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.665, f_measure: 0.4889, kappa: 0.2059, kb_relative_information_score: 346.6666, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4904, predictive_accuracy: 0.4969, prior_entropy: 1.5392, recall: 0.4969, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, f_measure: 0.5326, kappa: 0.2749, kb_relative_information_score: 323.9724, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5324, predictive_accuracy: 0.5411, prior_entropy: 1.5392, recall: 0.5411, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6055, kappa: 0.1117, kb_relative_information_score: 177.2675, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.4711, prior_entropy: 1.5392, recall: 0.4711, relative_absolute_error: 0.9238, 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: 0.5009, kb_relative_information_score: 4.6927, 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: 0.4642, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.5253, kappa: 0.2648, kb_relative_information_score: 251.6556, mean_absolute_error: 0.3853, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5269, predictive_accuracy: 0.5377, prior_entropy: 1.5392, recall: 0.5377, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6815, f_measure: 0.5294, kappa: 0.268, kb_relative_information_score: 229.2646, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5355, predictive_accuracy: 0.5404, prior_entropy: 1.5392, recall: 0.5404, relative_absolute_error: 0.909, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 10.826, 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: 0.997, 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: 0.5065, f_measure: 0.3241, kappa: 0.0175, kb_relative_information_score: 74.6123, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.3709, predictive_accuracy: 0.3218, prior_entropy: 1.5392, recall: 0.3218, relative_absolute_error: 1.0493, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6714, root_relative_squared_error: 1.4466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.5179, kappa: 0.2543, kb_relative_information_score: 203.6587, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5309, predictive_accuracy: 0.5356, prior_entropy: 1.5392, recall: 0.5356, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 6.253, 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: 1.0001, 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: 0.4991, kb_relative_information_score: 57.9229, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.467, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 26.7146, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9935, 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: 0.5, kb_relative_information_score: 55.1994, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.3469, prior_entropy: 1.5392, recall: 0.3469, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 11.1913, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0051, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4648, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 17.5279, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.465, root_relative_squared_error: 1.0019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, f_measure: 0.4831, kappa: 0.2039, kb_relative_information_score: 203.5834, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5089, predictive_accuracy: 0.5098, prior_entropy: 1.5392, recall: 0.5098, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, kb_relative_information_score: 1.7711, 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: 0.9997, 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: 0.5837, kb_relative_information_score: 14.4223, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, kb_relative_information_score: 68.0931, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.3469, prior_entropy: 1.5392, recall: 0.3469, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 6.0242, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0045, 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: 0.4982, kb_relative_information_score: 69.2231, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9827, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 10.5648, 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: 0.4643, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6071, f_measure: 0.4421, kappa: 0.1367, kb_relative_information_score: 235.3403, mean_absolute_error: 0.3932, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4407, predictive_accuracy: 0.444, prior_entropy: 1.5392, recall: 0.444, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 22.7067, 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: 0.9977, 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: 4.5875, 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: 1.0004, 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: 0.4977, kb_relative_information_score: 18.803, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 1.0084, 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: 0.4984, kb_relative_information_score: 6.6641, 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: 1.0039, 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: 0.7393, f_measure: 0.5453, kappa: 0.2947, kb_relative_information_score: 272.8119, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5496, predictive_accuracy: 0.554, prior_entropy: 1.5392, recall: 0.554, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.9188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.5384, kappa: 0.2842, kb_relative_information_score: 387.0295, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5368, predictive_accuracy: 0.5411, prior_entropy: 1.5392, recall: 0.5411, relative_absolute_error: 0.8069, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5704, f_measure: 0.4342, kappa: 0.134, kb_relative_information_score: 252.2454, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.4421, predictive_accuracy: 0.4304, prior_entropy: 1.5392, recall: 0.4304, relative_absolute_error: 0.9083, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5557, root_relative_squared_error: 1.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: 22.3103, mean_absolute_error: 0.4286, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, predictive_accuracy: 0.427, prior_entropy: 1.5392, recall: 0.427, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4648, root_relative_squared_error: 1.0015,

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