Fit the model to the tournament basketball data

Now that the model is compiled, you are ready to fit it to some data!

In this exercise, you'll use a dataset of scores from US College Basketball tournament games. Each row of the dataset has the team ids: team_1 and team_2, as integers. It also has the seed difference between the teams (seeds are assigned by the tournament committee and represent a ranking of how strong the teams are) and the score difference of the game (e.g. if team_1 wins by 5 points, the score difference is 5).

To fit the model, you provide a matrix of X variables (in this case one column: the seed difference) and a matrix of Y variables (in this case one column: the score difference).

The games_tourney DataFrame along with the compiled model object is available in your workspace.

Fit the model with seed_diff as the input variable and score_diff as the output variable.
Use 1 epoch, a batch size of 128, and a 10% validation split.

Take Hint (-30 XP)

Exercise

Fit the model to the tournament basketball data

Instructions