The performance of your method, the recall and precision, it calculated based on which output quality metric, how meaningful it affect to the wellding process. If performance increased, which characteristic of welding product is improved?
The performance of the proposed method, particularly recall and precision, is calculated based on an output quality metric that evaluates the accuracy of defect detection, weld consistency, or classification of welding parameters. These metrics are crucial in determining how well the method identifies correct welding conditions while minimizing false detections. A higher recall ensures that more defects or inconsistencies are detected, reducing the chances of faulty welds going unnoticed. Precision, on the other hand, ensures that correct predictions are made without unnecessary false alarms. An improvement in performance directly enhances the overall welding process by increasing the reliability of defect detection, optimizing material usage, and reducing rework or rejection rates. As a result, the final welding product benefits from improved strength, durability, and surface quality, ensuring higher manufacturing efficiency and compliance with industry standards.
