This is a presentation on the Shiny Application " Prediction COmparison.

This application studies the mtcars dataset, by training two Machine Learning Modesl:

• Randon Forest
• Decision Tree

and it compares the output with the: - True Value of testing - Linear Regression of testing set regressors.

The application will present graphical curves comparing accuracy of different models predicitons compared to the TRUE Value of testing Model.

The Dataset usef for model training is the mtcars dataset. We will be predicting: Output: - miles per gallong (mpg) Using two variables: - Weight (wt) - Horsepower (hp)

dim(mtcars)

## [1] 32 11

head(mtcars,3)

##                mpg cyl disp  hp drat    wt  qsec vs am gear carb
## Mazda RX4     21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
## Mazda RX4 Wag 21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
## Datsun 710    22.8   4  108  93 3.85 2.320 18.61  1  1    4    1

The Data was slices based on input given in Shiny application between training set and testing set. The dataset is of following dimension and type:

Click to go to the Shiny Web Application