prediction accuracy

Prediction accuracy measures how well a model's forecasts match actual outcomes. It’s the percentage of correct predictions out of all attempts. For example, if a weather model predicts rain 100 days and it actually rains on 80 of those days, the accuracy is 80%. High accuracy indicates the model's predictions are reliable, while lower accuracy suggests more errors. It helps determine the usefulness of a model in making informed decisions based on its forecasts.