error rate

简明释义

误码率

英英释义

例句

1.The error rate (错误率) of the system was reduced after the software update.

在软件更新后，系统的错误率降低了。

2.The machine learning model achieved a low error rate (错误率), indicating high accuracy in predictions.

这个机器学习模型达到了低的错误率，这表明预测的准确性很高。

3.Monitoring the error rate (错误率) is crucial for maintaining quality control in manufacturing.

监控错误率对于维持制造业的质量控制至关重要。

4.To improve the error rate (错误率), we need to retrain the algorithm with more data.

为了提高错误率，我们需要用更多的数据重新训练算法。

5.A high error rate (错误率) can indicate problems in the data collection process.

高错误率可能表明数据收集过程存在问题。

作文

In today's fast-paced digital world, the concept of error rate (错误率) has become increasingly significant across various fields, particularly in technology and data analysis. The error rate (错误率) refers to the frequency at which errors occur in a given dataset or system. Understanding and minimizing this rate is crucial for ensuring accuracy and reliability in numerous applications, from software development to machine learning and quality control in manufacturing.For instance, in software development, a high error rate (错误率) can lead to serious issues, including system failures and security vulnerabilities. Developers often employ rigorous testing methods to identify and rectify bugs before software is released to the public. By analyzing the error rate (错误率) during the testing phase, developers can make informed decisions about the quality of their product and whether it is ready for deployment. A low error rate (错误率) signifies a more reliable and efficient software application, which ultimately enhances user satisfaction and trust.Similarly, in the realm of machine learning, the error rate (错误率) serves as a critical metric for evaluating the performance of algorithms. Machine learning models are trained on large datasets, and their effectiveness is often measured by how accurately they can predict outcomes based on new data. A high error rate (错误率) indicates that the model is not performing well, suggesting that it may require further tuning or additional training data. Researchers continuously strive to lower the error rate (错误率) to improve the model's predictive capabilities, which is essential in applications such as medical diagnosis, financial forecasting, and autonomous vehicles.Moreover, in manufacturing and quality control, the error rate (错误率) plays a vital role in assessing product quality. Companies aim to minimize defects in their production processes, as a high error rate (错误率) can result in increased costs and decreased customer satisfaction. By implementing quality assurance measures and regularly monitoring the error rate (错误率), manufacturers can ensure that their products meet industry standards and fulfill customer expectations. This proactive approach not only helps in retaining customers but also enhances the company's reputation in the market.In conclusion, the error rate (错误率) is a fundamental concept that permeates various domains, influencing decision-making and operational efficiency. Whether in software development, machine learning, or manufacturing, understanding and managing the error rate (错误率) is essential for achieving success. As technology continues to evolve, the importance of maintaining a low error rate (错误率) will only grow, driving innovation and improving the overall quality of products and services across industries.