part4_.Rmd

---
title: "Part4_BestModels"
author: "Sharika Loganathan"
date: "2022-12-13"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

## R Markdown

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## Load packages


```{r}
library(tidyverse)
library(caret)

```



##Most important variables

###   Load Best Models


For regression problem SVM seems to perform the best

```{r}
reg_best_model <- readr::read_rds('reg_best_model.rds')
cls_best_model <- readr::read_rds('cls_best_model.rds')
```



###   Regression

###  Important Varibles


```{r}
plot(varImp(reg_best_model), top=20)
```


###   Classification

###   Most important variables

```{r}
plot(varImp(cls_best_model), top = 20)
```



```{r}
reg_best_model <- readr::read_rds('reg_best_model.rds')
cls_best_model <- readr::read_rds('cls_best_model.rds')
```



```{r}
plot(cls_best_model)
```
```{r}
plot(reg_best_model)
```