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

Sources

There are currently no sources for this slide.