Answer Posted / Chandni

Random Forest is a powerful machine learning algorithm implemented in the rpart and randomForest packages in R. Its main function is to construct multiple decision trees from a randomly selected subset of the training data, then use averaging to improve predictions and handle overfitting. Some common functions of Random Forest in R include: predict(), which makes predictions on new data; plot(), which generates visualizations of trees or variable importances; and varImpPlot(), which creates bar plots displaying the importance of variables.

Given a vector of numbers, how would you turn the values into scientific notation?

103

How will you convert a factor variable to numeric in r language?

148

How can you verify if a given object “X” is a matrix data object?

118