Harmful

“I hope that individuals use as a diagnostic tool to discover where and the way there may be issues in a model,” says Talat. “It’s a way of knowing what’s missing from a...

Feature importance is probably the most common tool for explaining a machine learning model. It's so popular that many data scientists find yourself believing that feature importance equals feature goodness.It just isn't so.When a...