Most ML frameworks optimize for leaderboard accuracy. But in finance and healthcare, accuracy is often the least interesting part of the system. If you can’t explain a prediction, you can’t deploy it. If your probabilities aren’t calibrated, you can’t trust t…
Most ML frameworks optimize for leaderboard accuracy.
But in finance and healthcare, accuracy is often the least interesting part of the system.
If you cant explain a prediction, you cant deploy it… [+3759 chars]
