Fit the model and evaluate
Now that you've defined a new model, fit it to the regular season basketball data.
Use the model
you fit in the previous exercise (which was trained on the regular season data) and evaluate the model on data for tournament games (games_tourney
).
This exercise is part of the course
Advanced Deep Learning with Keras
Exercise instructions
- Fit the model to the
games_season
dataset, using'team_1'
,'team_2'
and'home'
columns as inputs, and the'score_diff'
column as the target. - Fit the model using 1 epoch, 10% validation split and a batch size of 2048.
- Evaluate the model on
games_tourney
, using the same inputs and outputs.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Fit the model to the games_season dataset
____([____, ____, ____],
____,
epochs=____,
verbose=____,
validation_split=____,
batch_size=____)
# Evaluate the model on the games_tourney dataset
print(____.____(____, ____, verbose=False))