Table 1.
Classifier | Accuracy | Specificity | Sensitivity | p-Value |
---|---|---|---|---|
LR | 0.58 | 0.59 | 0.57 | 0.009 |
LassoLR | 0.58 | 0.57 | 0.56 | 0.009 |
SVM | 0.63 | 0.64 | 0.62 | 0.007 |
PNN | 0.58 | 0.57 | 0.59 | 0.009 |
LDA | 0.57 | 0.58 | 0.56 | 0.009 |
GNB | 0.61 | 0.63 | 0.62 | 0.008 |
LR, logistic regression; LassoLR, lasso-regularized logistic regression; SVM, linear support vector machine; PNN, probabilistic neural network; LDA, linear discriminant analysis; GNB, Gaussian naïve Bayes.
This table provides an overview of the performances of the classifiers discussed in Section “Classifiers.” Listed are the test accuracy, specificity, and sensitivity. Nested cross-validation was performed for all classifiers, with 10-folds for both the outer and the inner loops.