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Exercise

Entropy vs Gini index

In this exercise you'll compare the test set accuracy of dt_entropy to the accuracy of another tree named dt_gini. The tree dt_gini was trained on the same dataset using the same parameters except for the information criterion which was set to the gini index using the keyword 'gini'.

X_test, y_test, dt_entropy, as well as accuracy_gini which corresponds to the test set accuracy achieved by dt_gini are available in your workspace.

Instructions

100 XP
  • Import accuracy_score from sklearn.metrics.
  • Predict the test set labels of dt_entropy and assign the result to y_pred.
  • Evaluate the test set accuracy of dt_entropy and assign the result to accuracy_entropy.
  • Review accuracy_entropy and accuracy_gini.