Saturday 12 September 2015

Cross validation done wrong via @mottalrd

Cross validation is an essential tool in statistical learning 1 to estimate the accuracy of your algorithm. Despite its great power it also exposes some fundamental risk when done wrong which may terribly bias your accuracy estimate.

Great blog post explaining this crucial part of predictive analytics.

No comments:

Post a Comment

Note: only a member of this blog may post a comment.