1. Accuracy

Accuracy refers to the average correctness of the model across all evaluation instances. The concept of correctness may vary in different contexts, so we enumerate the main accuracy metrics considered in the evaluation work, the application scenarios of these metrics, and their formal definitions.

1.1 accuracy

The ratio of correctly predicted classifications to the total number of predictions.