Super Learner is an algorithm that uses various learning prediction models and finds the optimal combination of collection of algorithms. It learns best optimal fits. Ensemble methods use multiple learning algorithms to obtain better performance.
- Perform the following steps in R:
> install.packages("SuperLearner")> install.packages("caret")> install.packages("glmnet")> install.packages("xgboost")> install.packages("randomForest")> library(SuperLearner)
- To list all the available wrappers for predictions and screening, execute the following:
> listWrappers()
It will list all prediction algorithms and screening algorithms as follows:
> data(Boston, package="MASS") > training = sample(nrow(Boston), 100) > X = Boston[training, ] > X_Hold = Boston[-training, ] > Y = Boston$medv[training, ] > Y_Hold...