range correct

简明释义

距离校正

英英释义

例句

1.The test results were deemed range correct after further analysis.

经过进一步分析，测试结果被认为是范围正确的。

2.The engineer confirmed that the measurements were within the range correct limits.

工程师确认这些测量在范围正确的限制内。

3.The software automatically checks if the values entered are range correct.

该软件会自动检查输入的值是否范围正确。

4.To avoid errors, always verify that your calculations are range correct.

为了避免错误，始终验证你的计算是否范围正确。

5.Before submitting the report, ensure all data points are range correct.

在提交报告之前，确保所有数据点都是范围正确的。

作文

In the world of technology and data analysis, precision is crucial. One term that often comes up in discussions about accuracy is range correct, which refers to the ability of a model or system to accurately predict or identify values within a specified range. Understanding this concept is essential for anyone involved in fields such as statistics, machine learning, or engineering. When we say a model is range correct, it means that it can effectively operate within a defined set of parameters, ensuring that the outputs are reliable and valid. For instance, consider a weather forecasting model that predicts temperatures. If the model is designed to forecast temperatures between 30 to 100 degrees Fahrenheit, being range correct means that its predictions fall within this range. If it starts predicting temperatures below 30 degrees or above 100 degrees, it indicates a failure in the model's design or data input processes. This is critical because inaccurate forecasts can lead to significant consequences, such as improper planning for agricultural activities or public safety measures during extreme weather conditions. Moreover, the importance of being range correct extends beyond just weather predictions. In finance, for example, investment models need to be range correct to ensure that they do not suggest investments that fall outside of acceptable risk levels. If a financial model suggests an investment with potential losses that exceed the investor’s risk tolerance, it could lead to disastrous financial outcomes. Therefore, ensuring that these models are range correct is essential for maintaining investor confidence and market stability. Additionally, in engineering applications, particularly in designing systems and structures, the range correct functionality is vital. Engineers must ensure that their calculations and designs operate within the expected ranges of forces, loads, and environmental conditions. If a bridge design is not range correct, it could fail under stress, leading to catastrophic results. Thus, rigorous testing and validation processes are employed to confirm that all engineering designs meet the necessary criteria for performance within the specified ranges. In summary, the term range correct encapsulates a fundamental principle across various domains where accuracy and reliability are paramount. Whether in data science, finance, or engineering, being range correct ensures that systems function as intended and that predictions remain valid within established limits. As we continue to advance technologically and analytically, understanding and applying the concept of range correct will remain a cornerstone of effective practice. Without it, the integrity of our analyses and decisions could be compromised, leading to inefficiencies and errors that could have far-reaching impacts.

在科技和数据分析的世界中，精确性至关重要。一个经常出现在关于准确性的讨论中的术语是范围正确，它指的是模型或系统在指定范围内准确预测或识别值的能力。理解这个概念对于任何参与统计、机器学习或工程领域的人来说都是必不可少的。当我们说一个模型是范围正确时，这意味着它能够在定义的参数集内有效运行，从而确保输出是可靠和有效的。例如，考虑一个预测天气的模型，它预测温度。如果该模型设计用于预测30到100华氏度之间的温度，那么范围正确意味着它的预测落在这个范围内。如果它开始预测低于30度或高于100度的温度，这表明模型的设计或数据输入过程出现了故障。这一点至关重要，因为不准确的预测可能导致重大后果，例如农业活动的错误规划或在极端天气条件下公共安全措施的失误。此外，成为范围正确的重要性不仅限于天气预测。在金融领域，例如，投资模型需要范围正确以确保它们不建议超出可接受风险水平的投资。如果一个金融模型建议的投资潜在损失超过投资者的风险承受能力，这可能导致灾难性的财务结果。因此，确保这些模型是范围正确对于维护投资者信心和市场稳定至关重要。此外，在工程应用中，尤其是在设计系统和结构时，范围正确的功能至关重要。工程师必须确保他们的计算和设计在预期的力、负载和环境条件的范围内运行。如果一座桥梁的设计不范围正确，它可能在压力下失败，导致灾难性的结果。因此，会采用严格的测试和验证过程，以确认所有工程设计符合在特定范围内的性能标准。总之，范围正确这一术语概括了在各种领域中准确性和可靠性至关重要的基本原则。无论是在数据科学、金融还是工程中，成为范围正确确保系统按预期功能运行，并且预测在既定限制内保持有效。随着我们在技术和分析方面的不断进步，理解和应用范围正确的概念将始终是有效实践的基石。如果没有它，我们的分析和决策的完整性可能会受到损害，导致效率低下和错误，这可能会产生深远的影响。