In this lesson, students dig deeper into how to create a more effective linear regression model by fitting a model using training data and using the remaining data as testing data. By dividing the data into training and testing subsets, students create a model that doesn’t overfit the training data and can make correct predictions when given new data.
Students will be able to:
These are all the activities included in the lesson
