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  3. Model Validation in Python

Exercise

Implementing RandomizedSearchCV

You are hoping that using a random search algorithm will help you improve predictions for a class assignment. You professor has challenged your class to predict the overall final exam average score.

In preparation for completing a random search, you have created:

  • param_dist: the hyperparameter distributions
  • rfr: a random forest regression model
  • scorer: a scoring method to use

Instructions

100 XP
  • Load the method for conducting a random search in sklearn.
  • Complete a random search by filling in the parameters: estimator, param_distributions, and scoring.
  • Use 5-fold cross validation for this random search.