Exercise

Train/test split

To objectively assess a Machine Learning model you need to be able to test it on an independent set of data. You can't use the same data that you used to train the model: of course the model will perform (relatively) well on those data!

You will split the data into two components:

training data (used to train the model) and
testing data (used to test the model).

Note: From here on you'll be working with a smaller subset of the flights data, which just makes the exercises run more quickly.

Instructions

100 XP

Randomly split the flights data into two sets with 80:20 proportions. For repeatability set a random number seed of 17 for the split.
Check that the training data has roughly 80% of the records from the original data.