04/07/2020

Introduction

  • This web application is based on MTCARS dataset in “DASETS” package in R.
  • This applications aims to predict miles per gallon of the given Horse Power, Transmission Type and number of cylinder in a CAR.
  • The data was extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973–74 models).
  • This is very easy to use application with a simple UI

How It Works

  • This Web Application uses linear regression to train the models for given dataset.
  • It predicts based on fitted model on new data.
  • It has also an option to see the fitted regression line in the scatter plot.
  • It fetches the data from the given feilds and then transform into a dataframe for the prediction.
  • Below the plot, predicted results are shown

Benifits

  • This application makes easy to get miles per gallon for a car buyer.
  • This application can be used by manufacturing companies to estimate mpg in the car designing process.
  • It has a very simple UI which can be used by anyone.
  • The results are fairly accurate as two models has been used.

Screenshot