Add the model predictions to the tournament data
In lesson 1 of this chapter, you used the regular season model to make predictions on the tournament dataset, and got pretty good results! Try to improve your predictions for the tournament by modeling it specifically.
You'll use the prediction from the regular season model as an input to the tournament model. This is a form of "model stacking."
To start, take the regular season model from the previous lesson, and predict on the tournament data. Add this prediction to the tournament data as a new column.
This exercise is part of the course
Advanced Deep Learning with Keras
Exercise instructions
Use the model
to predict on the games_tourney
dataset. The model has three inputs: 'team_1'
, 'team_2'
, and 'home'
columns. Assign the predictions to a new column, 'pred'
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Predict
games_tourney['pred'] = ____