This experiment was created to predict the automobile prices with the help linear regression model
At first from the data set all the columns were selected except the normalized-losses column. Then with the cleaning module, all the rows with the missing values were cleaned. Then with the column selector, all the columns were selected except for the "symbolizing" and "highway-mpg" from the resulting data set. 75% of the data were used for the training and the rest was used for the evaluation.