Model Tuning Intuition
Explore the principles of model tuning in supervised learning with a focus on decision trees. Understand how hyperparameters impact model performance and learn strategies like cross-validation to prevent overfitting. This lesson helps you develop intuition for optimizing machine learning models to maintain accuracy and robustness across different datasets.
We'll cover the following...
Combatting overfitting
As a machine learning practitioner, there are two explicit goals when choosing how to train machine learning models:
Optimizing the value of the model’s predictions (e.g., attaining high accuracy).
Ensuring the value of the model’s predictions remains high over time.
There are many options for training machine learning models. Examples later in the course include dividing data into training and test datasets and ...