error rate

简明释义

故障率

英英释义

例句

1.A high error rate 错误率 can indicate problems in the manufacturing process.

高错误率可能表明制造过程中的问题。

2.The system's error rate 错误率 decreased significantly after the last update.

系统的错误率在最后一次更新后显著下降。

3.We need to monitor the error rate 错误率 during the testing phase.

我们需要在测试阶段监控错误率。

4.Reducing the error rate 错误率 is a key goal for our quality assurance team.

降低错误率是我们质量保证团队的主要目标。

5.The error rate 错误率 for this machine is currently at 2%.

这台机器的错误率目前为2%。

作文

In today's fast-paced technological world, the concept of error rate (错误率) has become increasingly important across various fields, particularly in data science, software development, and quality control. The error rate (错误率) is defined as the percentage of errors in a given set of data or processes. It serves as a crucial metric for evaluating the performance and reliability of systems and algorithms. Reducing the error rate (错误率) is often a primary objective for engineers and developers, as it directly impacts user experience and overall system efficiency.For instance, in machine learning, the error rate (错误率) is used to measure how well a model performs in making predictions. A high error rate (错误率) indicates that the model is failing to accurately classify or predict outcomes, which can lead to poor decision-making based on its results. Consequently, data scientists invest significant time and resources into refining their models to minimize the error rate (错误率). Techniques such as cross-validation, hyperparameter tuning, and feature selection are commonly employed to achieve this goal.Similarly, in software development, the error rate (错误率) is a critical indicator of code quality. A high error rate (错误率) in a software application could result in crashes, bugs, and security vulnerabilities, ultimately diminishing user trust. Developers often utilize automated testing frameworks to detect and fix errors before the software is released. By doing so, they aim to lower the error rate (错误率) and ensure a smoother user experience.Quality control processes in manufacturing also rely heavily on monitoring the error rate (错误率). In this context, the error rate (错误率) refers to the number of defective products produced relative to the total number of products manufactured. A high error rate (错误率) can lead to increased costs, wasted resources, and damage to a company's reputation. To combat this, manufacturers implement rigorous quality assurance protocols, including inspections and testing, to identify and rectify defects early in the production process.Moreover, the error rate (错误率) can have significant implications in fields such as healthcare. For example, in diagnostic imaging, a high error rate (错误率) in interpreting medical scans can lead to misdiagnoses and inappropriate treatment plans. Therefore, radiologists and healthcare professionals continuously strive to improve their accuracy and reduce the error rate (错误率) through ongoing education and the use of advanced imaging technologies.In conclusion, understanding and managing the error rate (错误率) is essential in various domains, from technology to manufacturing and healthcare. By focusing on reducing the error rate (错误率), professionals can enhance the reliability, safety, and effectiveness of their systems and processes. As industries continue to evolve and rely more on data-driven decision-making, the importance of monitoring and minimizing the error rate (错误率) will only grow, highlighting the need for ongoing research and innovation in these areas.