overall accuracy

简明释义

总体精度

英英释义

例句

1.The machine learning model achieved an overall accuracy of 95% on the test data.

这个机器学习模型在测试数据上的整体准确率达到了95%。

2.The overall accuracy of the diagnostic tool was significantly higher than previous versions.

该诊断工具的整体准确率显著高于之前的版本。

3.We reported an overall accuracy of 88% in our latest research paper.

我们在最新的研究论文中报告了88%的整体准确率。

4.To evaluate the system's performance, we need to calculate the overall accuracy across all categories.

为了评估系统的性能，我们需要计算所有类别的整体准确率。

5.After several iterations, the overall accuracy of the predictions improved drastically.

经过几次迭代，预测的整体准确率大幅提高。

作文

In the world of data analysis and research, the term overall accuracy plays a crucial role in evaluating the performance of models and algorithms. Overall accuracy refers to the proportion of true results (both true positives and true negatives) among the total number of cases examined. It is a fundamental metric that helps researchers and analysts understand how well their model is performing in classifying or predicting outcomes based on the input data.For instance, consider a medical diagnostic test designed to identify a specific disease. If the test correctly identifies 90 out of 100 patients who have the disease and also accurately identifies 5 out of 10 healthy individuals, the overall accuracy of the test would be calculated as follows: (90 true positives + 5 true negatives) / (100 total patients) = 95%. This high level of overall accuracy indicates that the test is reliable and effective in distinguishing between the presence and absence of the disease.However, it is essential to note that while overall accuracy is an important measure, it does not provide a complete picture of a model's performance. In scenarios where the classes are imbalanced—for example, when one class significantly outnumbers another—overall accuracy can be misleading. In such cases, relying solely on overall accuracy might give a false sense of security about the model's effectiveness. Therefore, it is often recommended to use additional metrics such as precision, recall, and F1-score to gain a more comprehensive understanding of the model's performance.Moreover, the context in which overall accuracy is applied can greatly influence its interpretation. In some fields, such as finance, a small increase in overall accuracy can lead to significant financial gains or losses. In contrast, in other fields like social sciences, the implications of overall accuracy might not be as critical, but still important for drawing valid conclusions from research data.In conclusion, the concept of overall accuracy is vital in assessing the effectiveness of predictive models and analytical methods. While it serves as a key indicator of performance, it must be interpreted carefully, especially in the context of class distribution and the specific application at hand. By complementing overall accuracy with other relevant metrics and considering the broader context, analysts can make more informed decisions and improve the reliability of their findings. Understanding overall accuracy and its implications is essential for anyone involved in data-driven decision-making processes, ensuring that the insights derived from data are both accurate and actionable.

在数据分析和研究的世界中，术语整体准确性在评估模型和算法的性能方面发挥着至关重要的作用。整体准确性是指在所检查的总案例中，真实结果（包括真正例和真负例）所占的比例。这是一个基本指标，帮助研究人员和分析师理解他们的模型在根据输入数据进行分类或预测结果时的表现。例如，考虑一种旨在识别特定疾病的医学诊断测试。如果该测试正确识别出100名患者中有90名患有该疾病，并且还准确识别出10名健康个体中的5名，则该测试的整体准确性将计算如下：（90个真正例 + 5个真负例）/（100个总患者）= 95%。这个高水平的整体准确性表明该测试在区分疾病的存在与否方面是可靠和有效的。然而，必须注意的是，虽然整体准确性是一个重要的衡量标准，但它并不能提供模型性能的完整图景。在类不平衡的情况下——例如，当一个类别显著多于另一个类别时——整体准确性可能会产生误导。因此，单靠整体准确性可能会给人一种对模型有效性的虚假安全感。因此，通常建议使用其他指标，如精确度、召回率和F1分数，以获得更全面的模型性能理解。此外，整体准确性应用的背景也会极大影响其解释。在某些领域，如金融，整体准确性的小幅提高可能导致显著的财务收益或损失。相比之下，在社会科学等其他领域，整体准确性的影响可能没有那么关键，但对于从研究数据中得出有效结论仍然很重要。总之，整体准确性的概念在评估预测模型和分析方法的有效性方面至关重要。虽然它作为性能的关键指标，但必须谨慎解读，特别是在类分布和特定应用的背景下。通过补充整体准确性与其他相关指标，并考虑更广泛的背景，分析师可以做出更明智的决策，提高他们发现的可靠性。理解整体准确性及其影响对于任何参与数据驱动决策过程的人来说都是必不可少的，确保从数据中得出的见解既准确又可操作。