The conversation between human and AI assistant.
What are advantages of different regression algorithms?
Can you tell me about the advantages of different regression algorithms?
Sure! Linear regression is simple and easy to interpret, while Ridge regression helps to avoid overfitting. Lasso regression is useful for feature selection, and Elastic Net combines the advantages of both Ridge and Lasso. Random Forest regression can handle non-linearity and interactions between variables, and Gradient Boosting regression is good for handling high-dimensional datasets.