Session Ready
Exercise

Random forest classifier

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

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

Let's get started!

Instructions 1/4
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  • Create rfc using the scikit-learn implementation of random forest classifiers and set a random state of 1111.
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