Measuring Validity and Reliability of Human Ratings
The Unofficial Google Data Science Blog
JULY 18, 2023
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. We derive our measurement of data quality, ICC, from the variance parameters in the model.$$ Instead, we measure with error.
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