A More Convenient Approach to Cross-Validation
Explore how to use GridSearchCV to automate cross-validation for models like decision trees and logistic regression. Understand its options, benefits for hyperparameter tuning, and the role of error bars to measure model performance variability.
We'll cover the following...
We'll cover the following...
Advantages of using GridSearchCV
In the “The Bias-Variance Trade-Off” chapter, we gained a deep understanding of cross-validation by writing our own function to do it, using the KFold class to generate the training and testing indices. This was helpful to get a thorough understanding of how the process works. However, scikit-learn offers ...