Multiple regression is a statistical technique used to model the relationship between a dependent variable and multiple independent variables. In machine learning, this technique is often used to predict an outcome based on multiple input features.
Here’s a detailed example using Python and scikit-learn to perform multiple regression.
Steps to Perform Multiple Regression
- Prepare the Data: Load and preprocess the data.
- Train the Model: Use scikit-learn to create and train a multiple regression model.
- Evaluate the Model: Evaluate the model’s performance using metrics such as R-squared and Mean Squared Error (MSE).
- Make Predictions: Use the trained model to make predictions.