Scoring Rules Expected Value Interview Questions
Scoring rules expected value interview prep for probability forecasts, expected score, calibration, Brier score, and log loss intuition.
Candidates preparing for probability calibration and forecasting prompts.
Scores are payoffs for forecasts
A scoring rule gives a reward or penalty based on a probability forecast and what actually happens.
Expected score
To evaluate a forecasting strategy, compute expected score under the true probability model.
Concrete example
If a forecaster says 70 percent for an event, the score depends on whether the event occurs and on the scoring rule used.
Proper scoring intuition
A proper scoring rule rewards honest probabilities in expectation, instead of encouraging exaggerated forecasts.
Calibration link
Scoring rules and calibration both test whether probabilities mean what they claim to mean over repeated forecasts.
Common mistakes
Candidates often optimize for being right once. Scoring rules evaluate probability quality across outcomes and repetitions.
Practice the pattern
Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.