Why Changing a Regression Model Changes the Projection
📰 Medium · Machine Learning
Changing a regression model alters the projection, learn why and how it affects the subspace
Action Steps
- Build a simple least-squares regression model using scikit-learn
- Compare the projections of different models, such as linear and polynomial regression
- Visualize the subspaces to understand how model changes affect the projection
- Apply this understanding to improve model selection and hyperparameter tuning
- Test the impact of model changes on a real-world dataset
Who Needs to Know This
Data scientists and machine learning engineers can benefit from understanding how model changes impact projections, to improve model interpretability and accuracy
Key Insight
💡 The choice of regression model changes the subspace, affecting the projection and model interpretability
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📈 Changing regression models changes projections! Learn why and how it affects the subspace #MachineLearning #Regression
Key Takeaways
Changing a regression model alters the projection, learn why and how it affects the subspace
Full Article
Keeping the data fixed, we compare three least-squares models to show how changing the model changes the subspace — and therefore changes… Continue reading on GraphMath »
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