OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131686 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 13.8684, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -1.7193, mean_absolute_error: 0.4549, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7528, f_measure: 0.7074, kappa: 0.3569, kb_relative_information_score: 207.5575, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7078, predictive_accuracy: 0.707, prior_entropy: 0.9335, recall: 0.707, relative_absolute_error: 0.7165, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -4.0391, mean_absolute_error: 0.4557, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 3.3403, mean_absolute_error: 0.4526, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -0.2112, mean_absolute_error: 0.4544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -2.4746, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -10.2143, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7321, f_measure: 0.7194, kappa: 0.3676, kb_relative_information_score: 123.3617, mean_absolute_error: 0.3938, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7323, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7336, kappa: 0.4018, kb_relative_information_score: 208.3177, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7356, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 18.8066, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -328.2329, mean_absolute_error: 0.6209, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.349, prior_entropy: 0.9335, recall: 0.349, relative_absolute_error: 1.3661, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.756, root_relative_squared_error: 1.586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, f_measure: 0.6732, kappa: 0.284, kb_relative_information_score: 184.7672, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6748, predictive_accuracy: 0.6719, prior_entropy: 0.9335, recall: 0.6719, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5352, root_relative_squared_error: 1.1228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.5979, kappa: 0.1165, kb_relative_information_score: 94.8794, mean_absolute_error: 0.4015, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6432, predictive_accuracy: 0.6667, prior_entropy: 0.9335, recall: 0.6667, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 107.7287, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.8484, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5282, root_relative_squared_error: 1.1082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7411, kappa: 0.421, kb_relative_information_score: 262.6955, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7406, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, f_measure: 0.5733, kappa: 0.0916, kb_relative_information_score: 2.9897, mean_absolute_error: 0.4349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5885, predictive_accuracy: 0.5651, prior_entropy: 0.9335, recall: 0.5651, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6595, root_relative_squared_error: 1.3836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, kb_relative_information_score: -11.7102, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.7328, kappa: 0.3982, kb_relative_information_score: 175.0834, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7411, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.7092, kappa: 0.3449, kb_relative_information_score: 224.3123, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7171, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.7078, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7164, kappa: 0.3764, kb_relative_information_score: 225.3251, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7166, predictive_accuracy: 0.7161, prior_entropy: 0.9335, recall: 0.7161, relative_absolute_error: 0.7019, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -39.4414, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.027, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 7.3222, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7274, kappa: 0.3929, kb_relative_information_score: 195.3355, mean_absolute_error: 0.3412, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7257, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.7507, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.7447, kappa: 0.4333, kb_relative_information_score: 219.9144, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7433, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.8776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.5828, kappa: 0.1363, kb_relative_information_score: -12.2917, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6124, predictive_accuracy: 0.5729, prior_entropy: 0.9335, recall: 0.5729, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6393, root_relative_squared_error: 1.3414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 18.1274, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 9.9903, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7468, kappa: 0.4356, kb_relative_information_score: 241.8361, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7457, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4225, root_relative_squared_error: 0.8865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 70.6597, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9058, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.3703, mean_absolute_error: 0.4532, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -78.5702, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.057, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4845, root_relative_squared_error: 1.0165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.6732, kappa: 0.284, kb_relative_information_score: 84.869, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6748, predictive_accuracy: 0.6719, prior_entropy: 0.9335, recall: 0.6719, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7385, kappa: 0.411, kb_relative_information_score: 189.7464, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7495, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7753, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -3.3619, mean_absolute_error: 0.4555, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.76, kappa: 0.4664, kb_relative_information_score: 239.9529, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7588, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.698, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 4.8307, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 42.9374, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4838, root_relative_squared_error: 1.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 20.2887, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -5.0308, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, kb_relative_information_score: -6.4275, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4759, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -59.9668, mean_absolute_error: 0.4737, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0423, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.481, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 10.2336, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7277, kappa: 0.3876, kb_relative_information_score: 228.6444, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7313, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.7277, kappa: 0.3939, kb_relative_information_score: 218.9406, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.726, predictive_accuracy: 0.7318, prior_entropy: 0.9335, recall: 0.7318, relative_absolute_error: 0.7201, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -8.2709, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 1.7422, mean_absolute_error: 0.4535, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -8.3417, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -3.1792, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 9.6163, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.477, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -14.4117, mean_absolute_error: 0.4588, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0095, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -377.0836, mean_absolute_error: 0.651, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.349, prior_entropy: 0.9335, recall: 0.349, relative_absolute_error: 1.4325, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8069, root_relative_squared_error: 1.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.7201, kappa: 0.3814, kb_relative_information_score: 195.5749, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7191, predictive_accuracy: 0.7214, prior_entropy: 0.9335, recall: 0.7214, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 16.0068, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -13.2068, mean_absolute_error: 0.4585, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -7.5544, mean_absolute_error: 0.4565, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -15.7322, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7512, kappa: 0.4474, kb_relative_information_score: 234.7159, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7498, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.6887, kappa: 0.299, kb_relative_information_score: 136.1794, mean_absolute_error: 0.3794, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7055, predictive_accuracy: 0.7148, prior_entropy: 0.9335, recall: 0.7148, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -10.4966, mean_absolute_error: 0.4576, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0069, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.7045, kappa: 0.3386, kb_relative_information_score: 193.4279, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7029, predictive_accuracy: 0.7122, prior_entropy: 0.9335, recall: 0.7122, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, kb_relative_information_score: 12.8493, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9842, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -377.0836, mean_absolute_error: 0.651, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.349, prior_entropy: 0.9335, recall: 0.349, relative_absolute_error: 1.4325, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8069, root_relative_squared_error: 1.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 7.8032, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 4.0164, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9942, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -62.7266, mean_absolute_error: 0.4747, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0444, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 5.526, mean_absolute_error: 0.4514, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -53.1792, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0371, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.7459, kappa: 0.4357, kb_relative_information_score: 218.3172, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7445, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.408, root_relative_squared_error: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.6854, kappa: 0.3162, kb_relative_information_score: 169.821, mean_absolute_error: 0.3471, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6901, predictive_accuracy: 0.6823, prior_entropy: 0.9335, recall: 0.6823, relative_absolute_error: 0.7636, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 1.1332, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -4.8962, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7463, kappa: 0.4307, kb_relative_information_score: 91.0981, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7485, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.9072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -9.7158, mean_absolute_error: 0.4554, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 4.5585, mean_absolute_error: 0.452, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, kb_relative_information_score: 3.123, mean_absolute_error: 0.4527, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7449, kappa: 0.4294, kb_relative_information_score: 212.2371, mean_absolute_error: 0.3351, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7447, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.5391, kappa: 0.035, kb_relative_information_score: -18.5561, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6606, predictive_accuracy: 0.6576, prior_entropy: 0.9335, recall: 0.6576, relative_absolute_error: 1.0075, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -10.5688, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7511, kappa: 0.4429, kb_relative_information_score: 216.356, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7515, predictive_accuracy: 0.7578, prior_entropy: 0.9335, recall: 0.7578, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -377.0836, mean_absolute_error: 0.651, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.349, prior_entropy: 0.9335, recall: 0.349, relative_absolute_error: 1.4325, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8069, root_relative_squared_error: 1.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: -54.0236, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0383, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4809, root_relative_squared_error: 1.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -53.3197, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0372, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.48, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.9656, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0106, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7328, kappa: 0.4012, kb_relative_information_score: 224.043, mean_absolute_error: 0.3258, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7331, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.7168, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8085, f_measure: 0.7363, kappa: 0.4079, kb_relative_information_score: 166.8367, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7385, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -377.0836, mean_absolute_error: 0.651, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.349, prior_entropy: 0.9335, recall: 0.349, relative_absolute_error: 1.4325, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8069, root_relative_squared_error: 1.6928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -24.4698, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4776, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 8.6155, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.7331, kappa: 0.3999, kb_relative_information_score: 199.8126, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7372, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4105, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5531, kappa: -0.0066, kb_relative_information_score: -116.5723, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.5421, predictive_accuracy: 0.5885, prior_entropy: 0.9335, recall: 0.5885, relative_absolute_error: 1.0893, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4954, root_relative_squared_error: 1.0393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 24.6042, mean_absolute_error: 0.4405, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 6.7839, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4769, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: 17.2099, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, kb_relative_information_score: 6.9953, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4768, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.962, mean_absolute_error: 0.4518, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.7309, kappa: 0.3966, kb_relative_information_score: 208.7176, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7315, predictive_accuracy: 0.7396, prior_entropy: 0.9335, recall: 0.7396, relative_absolute_error: 0.7359, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7484, kappa: 0.4369, kb_relative_information_score: 225.9134, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7487, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, kb_relative_information_score: -0.8004, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, kb_relative_information_score: -12.7056, mean_absolute_error: 0.4582, mean_prior_absolute_error: 0.4545, number_of_instances: 768, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9968,

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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