The purpose of this example is to compare the performance of machine learning models within a Jupyter notebook. We will use the classic 1974 Motor Trend car road tests () dataset to fit and evaluate three models:
- A linear model using all variables
- A linear model after variable selection
- A Gradient Boosting Machine (GBM) model
The notebooks below are modified versions of a Python notebook originally created by a Microsoft employee for distribution on the Cortana Intelligence Gallery.