Error Rate

Error rate refers to the percentage of times a process or system makes mistakes relative to the total attempts. For example, if a machine processes 1,000 items and misidentifies 10, the error rate is 1%. It’s a common way to measure accuracy and reliability; a lower error rate indicates better performance and fewer mistakes. This concept applies across various fields, such as quality control, data analysis, and machine learning, helping to evaluate and improve systems by understanding how often errors occur and where improvements are needed.