Predict numerical outcomes with regression models.
Builds and compares regression models, providing predictions, evaluation metrics, and diagnostic plots.
When to use it
Use for predicting numerical outcomes, understanding variable relationships, forecasting trends, or establishing baseline models.
Ask for a regression analysis; it provides a Python implementation with fitted models, evaluation metrics, and diagnostic plots.
The implementation runs in Python; no version is specified.
The implementation imports pandas and uses it to construct the feature diagnostic table.
The implementation imports numpy for its numerical operations.
The implementation imports matplotlib.pyplot for plotting.
No additional actions listed.