From: Applications of Bayesian shrinkage prior models in clinical research with categorical responses
 | Priors | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Measures | Horseshoe | DL | DP | BLasso | BElastic | Lasso | EN | Ridge | Gradient-Boosting | Random Forest | BART |
 | ADNI | ||||||||||
Accuracy | 0.842 (0.736) | 0.831 (0.747) | 0.842 (0.747) | 0.907 | 0.852 | 0.907 | 0.907 | 0.902 | 0.918 | 0.923 | 0.907 |
Sensitivity | 0.810 | 0.796 | 0.810 | 0.964 | 0.810 | 0.964 | 0.964 | 0.993 | 0.971 | 0.985 | 0.964 |
Specificity | 0.935 | 0.935 | 0.935 | 0.739 | 0.978 | 0.739 | 0.739 | 0.630 | 0.761 | 0.739 | 0.739 |
AUC | 0.798 (0.880) | 0.789 (0.884) | 0.798 (0.883) | 0.851 | 0.894 | 0.894 | 0.894 | 0.928 | 0.866 | 0.862 | 0.851 |
Brier Score | 0.107 | 0.109 | 0.110 | 0.093 | 0.113 | 0.093 | 0.093 | 0.098 | 0.082 | 0.077 | 0.093 |
 | OASIS | ||||||||||
Accuracy | 0.733 (0.741) | 0.733 (0.688) | 0.733 (0.741) | 0.827 | 0.800 | 0.827 | 0.840 | 0.787 | 0.760 | 0.760 | 0.773 |
Sensitivity | 0.818 | 0.818 | 0.818 | 1.000 | 0.977 | 1.000 | 1.000 | 1.000 | 0.841 | 0.841 | 0.864 |
Specificity | 0.613 | 0.613 | 0.613 | 0.581 | 0.548 | 0.581 | 0.613 | 0.484 | 0.645 | 0.645 | 0.645 |
AUC | 0.727(0.764) | 0.727 (0.701) | 0.727(0.764) | 0.790 | 0.763 | 0.886 | 0.893 | 0.867 | 0.756 | 0.756 | 0.772 |
Brier Score | 0.129 | 0.130 | 0.129 | 0.173 | 0.126 | 0.173 | 0.160 | 0.213 | 0.240 | 0.240 | 0.227 |
 | Pima Indian Diabetes | ||||||||||
Accuracy | 0.727 | 0.727 | 0.727 | 0.727 | 0.708 | 0.727 | 0.734 | 0.734 | 0.786 | 0.792 | 0.786 |
Sensitivity | 0.705 | 0.705 | 0.705 | 0.867 | 0.667 | 0.867 | 0.876 | 0.895 | 0.864 | 0.893 | 0.874 |
Specificity | 0.776 | 0.776 | 0.776 | 0.429 | 0.796 | 0.429 | 0.429 | 0.388 | 0.627 | 0.588 | 0.608 |
AUC | 0.711 | 0.711 | 0.711 | 0.648 | 0.731 | 0.682 | 0.692 | 0.696 | 0.746 | 0.741 | 0.741 |
Brier Score | 0.197 | 0.197 | 0.197 | 0.273 | 0.199 | 0.273 | 0.266 | 0.266 | 0.214 | 0.208 | 0.214 |
 | Colon | ||||||||||
Accuracy | 0.846 | 0.769 | 0.769 | 0.923 | 0.769 | 0.923 | 0.923 | 0.923 | 0.846 | 0.846 | 0.692 |
Sensitivity | 1.000 | 0.750 | 0.750 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.667 | 0.667 | 0.333 |
Specificity | 0.778 | 0.778 | 0.778 | 0.889 | 0.667 | 0.889 | 0.889 | 0.889 | 0.900 | 0.900 | 0.900 |
AUC | 0.889 | 0.764 | 0.764 | 0.944 | 0.833 | 0.944 | 0.944 | 0.944 | 0.783 | 0.783 | 0.567 |
Brier Score | 0.121 | 0.224 | 0.240 | 0.077 | 0.276 | 0.077 | 0.077 | 0.077 | 0.154 | 0.154 | 0.308 |