| Random Forests |
Number of Randomly Selected Predictors |
| Quadratic Discriminant Analysis |
No tuning parameters |
| GLM binomial distribution family |
No tuning parameters |
| Linear Discriminant Analysis |
Number of Discriminant Functions |
| Partial Least Squares |
Number of Components |
| Penalized Logistic Regression |
L2 penalty and complexity parameter |
| Nearest Shrunken Centroids |
Shrinkage threshold |
| Mixture Discriminant Analysis |
Number of subclasses per class |
| Neural Network |
Number of hidden units, weight decay |
| Flexible Discriminant Analysis |
Product degree and number of terms |
| Support Vector Machines with Radial Basis Function Kernel |
Sigma, cost, weight |
| k-Nearest Neighbors |
Maximum number of neighbors, distance, kernel |
| Naive Bayes |
Laplace correction, distribution type |
