Experiments in Supervised Learning Part 3

In the previous post we built a simple model to extract recipe data from a web page. But when we ran it on an actual recipe, the results were pretty rough: it achieved just 65% accuracy, mislabeled social buttons like “Pin” and “Tweet” as ingredients, and frequently duplicated ingredient entries. Directions included irrelevant text like “This site uses Akismet to reduce spam.” and “Sign in.”…