Glossary term
Glossary term
Foundations
A model that assigns one weight per feature to make predictions. (Linear models also incorporate a bias.) In contrast, the relationship of features to predictions in deep models is generally nonlinear.
Linear models are usually easier to train and more interpretable than deep models. However, deep models can learn complex relationships between features.
Linear regression and logistic regression are two types of linear models.
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A risk team uses a linear model as the production credit scorecard because regulators are familiar with the form.
A pricing team uses a linear model as a transparent baseline before evaluating boosted trees.
A healthcare analytics team uses a linear model for length-of-stay predictions so clinicians can read each coefficient.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License