# generative vs. discriminative models (under construction)

## Summary

-No Summary-

## Notes

This concept is still under construction.

## Context

This concept has the prerequisites:

- Gaussian discriminant analysis (GDA is an instructive example of a generative model.)
- logistic regression (Logistic regression is an instructive example of a discriminative model.)
- naive Bayes (Naive Bayes is an instructive example of a generative model.)
- generalization (Generalization and the bias/variance tradoff are important issues in comparing generative and discriminative models.)

## See also

- The following are important examples of generative models:
- naive Bayes
- Gaussian discriminant analysis
- Bayesian networks (Bayes nets)
- Markov random fields (MRFs)

- One advantage of generative modeling is that it makes it easier to share structure between related problems .