Download: Hack-R Classification Performance Stats Cheatsheet

There are lots of common, mostly very simple, statistics used in experimentation and classification. You find them in Machine Learning courses, medical literature and just about everywhere.

There are some handy resources out there, such as a table of formulas for common performance measures in classification from University of Alberta, but I’ve still noticed a bit of a gap between the stats I commonly see when running validation on algorithms in various software packages and what’s in those cheatsheets.

I made my own, which you may download and reproduce freely (just do me a favor and link to this blog).


It has everything from University of Alberta’s reference table (i.e. all the basics), all the stats used in the handy cofusionMatrix function in R’s caret package and a few others I threw in for good measure.


Download the PDF