# Current Slide

Small screen detected. You are viewing the mobile version of SlideWiki. If you wish to edit slides you will need to use a larger device.

### Estimating Confidence Intervals: Classifier Models M1 vs. M2

- Suppose we have 2 classifiers, M1 and M2, which one is better?
- Use 10-fold cross-validation to obtain err'(M1) and err'(M2)
- These mean error rates are just
*estimates*of error on the true population of*future*data cases - What if the difference between the 2 error rates is just attributed to
*chance*? - Use a
**test of statistical significance** - Obtain
**confidence limits**for our error estimates

**Speaker notes:**

## Content Tools

Tools

Sources (0)

Tags (0)

Comments (0)

History

Usage

Questions (0)

Playlists (0)

Quality

### Sources

There are currently no sources for this slide.