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  3. Machine Learning with Tree-Based Models in R

Exercise

Predict new values

A predictive model is one that predicts the outcomes of new, unseen data. Besides the numeric predictors, there are other useful columns in the dataset. The goal of this exercise is to predict the final rating grades of a chocolate tasting based on all other predictor variables that are available.

Loaded in your workspace is the regression tree specification that you created in the last exercise, chocolate_spec, as well as the training and testing data (chocolate_train and chocolate_test).

Instructions

100 XP
  • Use model_spec to train a regression tree chocolate_model that predicts final_grade using all predictors in the data.
  • Predict final_grade values using the chocolate_test tibble.
  • Add the results to the chocolate_test tibble.