Conway: Extra model features carry statistical and cognitive explainability penalties
Drew Conway · Panel Discussion // Data Driven #16 // May 2013 · Dec 5, 2013 · at 54:56
Drew Conway, data scientist and author, advises machine learning practitioners to restrict model features to preserve model explainability.
0:00 / 0:13exact quote · 13.8s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“Think very parsimoniously about what you bring into your model, because with each one of those, not only are you incurring a statistical penalty, you're incurring a sort of brain penalty and having to explain why the result is what it is when you get to whatever endpoint you're searching for.”
quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →