Скачать или смотреть Implementing K-Fold in Scikit-learn

Now, let's explore how to implement K-Fold Cross Validation in Scikit-learn. Scikit-learn, a popular machine learning library in Python, offers a straightforward way to apply this technique. The primary function used is 'cross_val_score'. This function requires key parameters: the estimator, the dataset, and the number of folds. We'll walk through a simple code demonstration to show how you can set these parameters and execute the function. Understanding the output is crucial, as it provides insight into the performance of your model across different folds. By the end of this block, you'll be equipped with the knowledge to implement K-Fold Cross Validation in your own projects.