CS 2750 Machine
Learning

•**Expected error= Bias+Variance
**

–*Expected error *is the
expected discrepancy between the estimated and true
function

–*Bias* is squared
discrepancy between *averaged* estimated and true
function

–*Variance *is expected
divergence of the estimated function vs. its average value*
*

Analysis of Bagging