Assignment 11: Predictive Modeling - Universal Framework

How to do it?:

• Open the Rmarkdown file of this assignment (link) in Rstudio.

• Right under each question, insert a code chunk (you can use the hotkey Ctrl + Alt + I to add a code chunk) and code the solution for the question.

• Knit the rmarkdown file (hotkey: Ctrl + Alt + K) to export an html.

• Publish the html file to your Githiub Page.

Submission: Submit the link on Github of the assignment to Blackboard.

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1. Install the package mlbench and use the follows to import the data

library(mlbench)
library(tidyverse)
data(PimaIndiansDiabetes)
df <- tibble(PimaIndiansDiabetes)

Train and Test a decision tree and a random forest with caret. Plot the variable importance of these models.

2. Train and Test a glmnet model. Plot the variable importance of the model.

3. Train and test two models that are not ranger, glmnet or rpart with caret. If possible, plot the variable importance of the model.