relative net precision

简明释义

相对净精确度

英英释义

例句

1.The research showed that increasing sample size can enhance relative net precision 相对净精度.

研究表明，增加样本大小可以提高相对净精度。

2.Our findings indicate a strong correlation between training time and relative net precision 相对净精度.

我们的发现表明训练时间与相对净精度之间存在强相关性。

3.The algorithm's relative net precision 相对净精度 improved significantly after the latest update.

该算法的相对净精度在最新更新后显著提高。

4.In our analysis, we found that the relative net precision 相对净精度 of the model was higher than expected.

在我们的分析中，我们发现模型的相对净精度高于预期。

5.To evaluate the performance, we measured the relative net precision 相对净精度 across different datasets.

为了评估性能，我们在不同数据集上测量了相对净精度。

作文

In today's fast-paced technological world, the concept of accuracy has become increasingly important across various fields. One term that often arises in discussions about measurement and data analysis is relative net precision. This term refers to the degree of accuracy of a measurement or calculation in relation to a standard or expected value. It is particularly significant in fields such as engineering, finance, and scientific research, where precise measurements can lead to successful outcomes or critical failures. To understand relative net precision, it is essential to break down its components. The word 'relative' indicates a comparison to something else; it suggests that the precision of a measurement is not absolute but rather dependent on the context or reference point. 'Net precision' refers to the actual accuracy of the measurement after accounting for any errors or uncertainties. Therefore, relative net precision combines these ideas, emphasizing how precise a measurement is when compared to an established benchmark.For instance, consider a scenario in a manufacturing plant where products are being measured for quality control. If a product is supposed to have a dimension of 100 mm, but the measurements fluctuate between 98 mm and 102 mm, the relative net precision would assess how close these measurements are to the target dimension. A small fluctuation would indicate high relative net precision, while a larger variance would suggest lower precision. This understanding is crucial for maintaining quality standards and ensuring customer satisfaction.In finance, relative net precision plays a vital role in risk assessment and investment strategies. Investors rely on precise data to make informed decisions. If the projected return on an investment is based on inaccurate or imprecise data, the potential risks could be significantly underestimated. By evaluating the relative net precision of financial models, analysts can better gauge the reliability of their projections and make more sound investment choices.Moreover, in scientific research, relative net precision is fundamental for validating experimental results. Researchers must ensure that their measurements are accurate and reliable to draw valid conclusions. For example, if a study aims to measure the effect of a new drug on blood pressure, the relative net precision of the measurements taken will determine the credibility of the findings. High precision would support the hypothesis, while low precision could lead to inconclusive or misleading results.In conclusion, the concept of relative net precision is integral to various fields that depend on accurate measurements. Understanding this term helps professionals evaluate the reliability of their data and make informed decisions based on that data. As technology continues to advance and the demand for precision increases, mastering the concept of relative net precision will be crucial for success in any discipline that relies on measurement and analysis. By recognizing the importance of this term, individuals and organizations can strive for greater accuracy and ultimately achieve better outcomes in their respective fields.

在当今快速发展的技术世界中，准确性的概念在各个领域变得越来越重要。一个在测量和数据分析讨论中经常出现的术语是相对净精度。这个术语指的是测量或计算的准确度与标准或预期值之间的关系。它在工程、金融和科学研究等领域尤其重要，因为精确的测量可能导致成功的结果或关键的失败。要理解相对净精度，首先需要分解其组成部分。“相对”这个词表示与其他事物的比较；它表明测量的精度不是绝对的，而是依赖于上下文或参考点。“净精度”指的是在考虑任何误差或不确定性后测量的实际准确性。因此，相对净精度结合了这些思想，强调了测量在与既定基准比较时的精确程度。例如，考虑一个制造工厂的场景，其中产品正在进行质量控制测量。如果一个产品的尺寸应该为100毫米，但测量结果在98毫米和102毫米之间波动，那么相对净精度将评估这些测量与目标尺寸的接近程度。小的波动将表明高的相对净精度，而较大的方差则表明较低的精度。这种理解对于维持质量标准和确保客户满意度至关重要。在金融领域，相对净精度在风险评估和投资策略中发挥着至关重要的作用。投资者依赖精确的数据来做出明智的决定。如果投资的预期回报基于不准确或不精确的数据，则潜在的风险可能会被显著低估。通过评估金融模型的相对净精度，分析师可以更好地评估其预测的可靠性，从而做出更合理的投资选择。此外，在科学研究中，相对净精度对于验证实验结果至关重要。研究人员必须确保他们的测量准确可靠，以得出有效的结论。例如，如果一项研究旨在测量新药对血压的影响，那么所进行测量的相对净精度将决定结果的可信度。高精度将支持假设，而低精度可能导致结论不明确或误导性结果。总之，相对净精度的概念是各种依赖于准确测量的领域不可或缺的一部分。理解这个术语有助于专业人士评估数据的可靠性，并根据这些数据做出明智的决策。随着技术的不断进步和对精度的需求增加，掌握相对净精度的概念将对任何依赖测量和分析的学科的成功至关重要。通过认识到这个术语的重要性，个人和组织可以努力提高准确性，最终在各自的领域取得更好的成果。