Solution: Train a Random Forest Model Using the Entropy Criteria
Explore how to train a random forest model using entropy as the splitting criterion during decision tree construction. Understand how to implement and evaluate this model with classification reports and confusion matrices, comparing its performance to the default Gini criterion method.
We'll cover the following...
We'll cover the following...
Task
In the “Machine Learning” lesson of the “Decision Tree Learning” chapter, we trained a random forest ...