Prediction accuracy measures how often a predictive model correctly forecasts outcomes, serving as a fundamental metric for evaluating model performance. High accuracy indicates reliable predictions, but it must be considered alongside other metrics like precision and recall to ensure a comprehensive assessment of the model's effectiveness.