There is a bunch of stuff about predicting automobile prices that should probably be updated to stuff about cell classification.
Classification is used to make a prediction from a defined set of values, such as the make of a car (for example, Honda or BMW). Regression is used to make a prediction from a continuous set of values, such as a person's age or the price of an automobile.
The goal of this lab is to predict the price of an automobile from a set of input features, so you will use a regression model.
There is a bunch of stuff about predicting automobile prices that should probably be updated to stuff about cell classification.