What are some common machine learning algorithms and their hyperparameters?

What are some common machine learning algorithms and their hyperparameters?

Some common machine learning algorithms include Linear Regression, Decision Trees, and Support Vector Machines. Each has specific hyperparameters that can be tuned for better performance.

Can you give me examples of hyperparameters for these algorithms?

Sure! For Linear Regression, you might adjust the regularization strength. For Decision Trees, key hyperparameters include max depth and min samples split. For Support Vector Machines, you can tune the kernel type and C parameter.

How do I choose the right hyperparameters?

Choosing the right hyperparameters often involves techniques like Grid Search or Random Search, along with cross-validation to evaluate performance.

What is cross-validation?

Cross-validation is a technique used to assess how the results of a statistical analysis will generalize to an independent dataset. It helps in validating the model's performance.