68.
The trouble with uncertainty quantification in ML is a lack of guarantee: prediction intervals that are too short…
The trouble with uncertainty quantification in ML is a lack of guarantee: prediction intervals that are too short and class probabilities are miscalibrated. A solution: conformal prediction. To get started, I wrote a beginner-friendly, ha