Estimating prevalence with precision and accuracy
Precise Quantifier (PQ) is a Bayesian method designed to estimate class prevalence in unlabeled test datasets using labeled validation data. PQ achieves narrower prediction intervals than existing methods while maintaining accurate coverage, showing that classifier power, validation set size, and test set size influence quantification precision.