Exercise

Random forest classifier

This exercise reviews the four modeling steps discussed throughout this chapter using a random forest classification model. You will:

Create a random forest classification model.
Fit the model using the tic_tac_toe dataset.
Make predictions on whether Player One will win (1) or lose (0) the current game.
Finally, you will evaluate the overall accuracy of the model.

Let's get started!

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Create rfc using the scikit-learn implementation of random forest classifiers and set a random state of 1111.