Must read machine learning papers on performance evaluation and comparison.
Category: predictive modeling
A must read perspective on “Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations”
Every once in a while, there appears a paper that is so good, so well-written and so packed with insights, that I would read it a few times... that I wished I had written it myself. That happened when I read this perspective paper by Jonathan Chen and Steven Asch. Normally I'd tweet a link… Continue reading A must read perspective on “Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations”
Leave one scheme out of your cross validation studies
Placeholder for an upcoming blog post to advocate against the use of leave one out cross-validation. Do not read too much into the following plots until I provide you the full context and details.
