From: Monte Carlo cross-validation for a study with binary outcome and limited sample size
Method | ML model | Method value in R |
---|---|---|
LDA | Linear discriminant analysis | lda |
GLM | Generalized linear model | glm |
LOG | Boosted logistic regression | LogitBoost |
BAY | Naive Bayes | Naive_bayes |
CART | Bagged CART | Treebag |
TREE | Recursive partitioning and regression trees | rpart |
KNN | k-Nearest neighbors | knn |
RF | Random forest | rf |
LVQ | Learning vector quantization | lvq |
SVM-L | Support vector machines with linear kernel | svmLinear |
SVM-P | Support vector machines with polynomial kernel | svmPoly |
SGB | Stochastic gradient boosting | gbm |