
Bias-variance trade-off… I’m always confusing the two!
Sep 6, 2018 · 4 min read
If you’re like me and are always confusing what is Bias and Variance, check out this post for the enlightenment you’ve looking for!
The goal of any Machine Learning algorithm is to best estimate the mapping function (f) for the target variable (y) given the input data (x). The function’s generelization error can be expressed as the sum of three very different errors:


