R Programming Language Certification Machine Learning with R 2

Question 1

Which R package is used to implement random forest models outside of the tidymodels ecosystem?

Accepted Answer

randomForest

Answer

forest

Answer

treepack

Answer

rfmodel

Question 2

In R, which package and function are most commonly used to fit Support Vector Machine (SVM) models?

Accepted Answer

e1071::svm()

Answer

svmR::svm()

Answer

kernlab::svc()

Answer

caret::svmFit()

Question 3

Which R package is the most widely used for gradient boosting, particularly for tabular data competitions?

Accepted Answer

xgboost

Answer

gbm

Answer

adaboost

Answer

lightR

Question 4

What does the 'tuneGrid' parameter control when passed to caret's train() function?

Accepted Answer

The grid of hyperparameter values to search over

Answer

The number of cross-validation folds

Answer

The preprocessing steps to apply

Answer

The train/test split ratio

Question 5

Which R function from the nnet package fits a single-hidden-layer neural network?

Accepted Answer

nnet()

Answer

neural()

Answer

neuralnet()

Answer

mlp()

Question 6

What is the purpose of regularization parameters (lambda) in regression-based machine learning models in R?

Accepted Answer

To penalize large coefficients and prevent overfitting

Answer

To increase model complexity

Answer

To speed up gradient descent convergence

Answer

To scale the input features

Question 7

Which R package provides the glmnet() function for fitting Lasso, Ridge, and Elastic Net regression models?

Accepted Answer

glmnet

Answer

lars

Answer

penalized

Answer

elasticnet