exception rates

简明释义

例外物品的特别运费

英英释义

例句

1.Monitoring the exception rates 异常率 is crucial for maintaining system stability.

监控异常率对维持系统稳定性至关重要。

2.The software's exception rates 异常率 have significantly decreased after the last update.

软件的异常率在上次更新后显著降低。

3.The exception rates 异常率 reported by the users were higher than expected.

用户报告的异常率高于预期。

4.Our team analyzed the exception rates 异常率 to identify potential issues in the application.

我们的团队分析了异常率以识别应用程序中的潜在问题。

5.High exception rates 异常率 can indicate a need for code refactoring.

高异常率可能表明需要重构代码。

作文

In the realm of data analysis and statistics, understanding various metrics is crucial for making informed decisions. One such metric that often comes into play is the exception rates, which refers to the frequency at which anomalies or outliers occur in a dataset. These rates can provide valuable insights into the reliability and quality of the data being analyzed. For instance, in quality control processes within manufacturing, monitoring the exception rates can help identify defects in products, allowing companies to take corrective actions before these products reach consumers. Furthermore, in the context of software development, the exception rates can indicate the stability of an application. A high rate of exceptions may signal underlying issues in the code that need addressing. Developers often use logging tools to track these exceptions, allowing them to analyze patterns and determine the root causes of failures. By reducing the exception rates, developers can enhance user experience and improve overall software performance.In healthcare, exception rates can be utilized to monitor patient outcomes and treatment effectiveness. For example, if a particular treatment has an unusually high exception rate regarding adverse reactions, it may prompt further investigation into the safety and efficacy of that treatment. This data-driven approach can lead to better healthcare decisions and improved patient care.Moreover, businesses use exception rates in customer service metrics to assess the quality of their support systems. A high rate of exceptions in customer inquiries may indicate that customers are facing recurring issues that have not been resolved effectively. By analyzing these rates, companies can implement changes to their processes, ultimately leading to higher customer satisfaction.In the educational sector, exception rates can help educators understand student performance. For instance, if a significant number of students are failing a particular subject, the exception rates can highlight potential gaps in teaching methods or curriculum effectiveness. This information can guide educators in making necessary adjustments to improve student learning outcomes.Overall, the concept of exception rates transcends various fields and applications. It serves as a critical indicator of performance, quality, and reliability. By effectively analyzing and responding to exception rates, organizations can foster continuous improvement and ensure better results across different sectors. Whether in manufacturing, software development, healthcare, customer service, or education, the ability to monitor and reduce exception rates is essential for achieving excellence and meeting the needs of stakeholders. In conclusion, recognizing the importance of exception rates can empower professionals to make data-driven decisions that enhance operations and drive success.

在数据分析和统计的领域中，理解各种指标对于做出明智的决策至关重要。其中一个常用的指标是异常率，它指的是数据集中异常值或离群值发生的频率。这些比率可以提供关于所分析数据的可靠性和质量的宝贵见解。例如，在制造业的质量控制过程中，监测异常率可以帮助识别产品中的缺陷，使公司能够在这些产品到达消费者之前采取纠正措施。此外，在软件开发的背景下，异常率可以表明应用程序的稳定性。高异常率可能表明代码中存在潜在问题需要解决。开发人员通常使用日志记录工具来跟踪这些异常，从而分析模式并确定故障的根本原因。通过减少异常率，开发人员可以增强用户体验并改善整体软件性能。在医疗保健中，异常率可以用于监测患者结果和治疗效果。例如，如果某种治疗的副作用出现异常高的异常率，这可能促使对该治疗的安全性和有效性进行进一步调查。这种基于数据的方法可以导致更好的医疗决策和改善患者护理。此外，企业在客户服务指标中使用异常率来评估其支持系统的质量。如果客户咨询中的异常率很高，这可能表明客户面临着未得到有效解决的重复问题。通过分析这些比率，公司可以对其流程实施变更，最终提高客户满意度。在教育领域，异常率可以帮助教育工作者了解学生表现。例如，如果大量学生在某一科目上不及格，异常率可以突出教学方法或课程有效性中的潜在差距。这些信息可以指导教育工作者进行必要的调整，以改善学生学习成果。总的来说，异常率的概念超越了各个领域和应用。它作为绩效、质量和可靠性的关键指标。通过有效地分析和应对异常率，组织可以促进持续改进，确保在不同领域获得更好的结果。无论是在制造、软件开发、医疗保健、客户服务还是教育中，监测和减少异常率的能力对实现卓越和满足利益相关者的需求至关重要。总之，认识到异常率的重要性可以使专业人士能够做出基于数据的决策，从而提升运营并推动成功。