Measuring Validity and Reliability of Human Ratings
The Unofficial Google Data Science Blog
JULY 18, 2023
If they roll two dice and apply a label if the dice rolls sum to 12 they will agree 85% of the time, purely by chance. We normally have lots of labelers and items in our dataset, and priors give a form of regularization that better handles cases where data might be sparse and makes the model less prone to overfitting.
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