loss of accuracy

简明释义

精度降低

英英释义

例句

1.When using a low-quality sensor, we experienced a loss of accuracy in temperature readings.

使用低质量传感器时，我们在温度读数上经历了准确性损失。

2.The model's predictions showed a loss of accuracy after retraining with insufficient data.

模型的预测在用数据不足的情况下重新训练后显示出准确性损失。

3.The new software update caused a significant loss of accuracy in the data analysis results.

新的软件更新导致数据分析结果出现显著的准确性损失。

4.In financial forecasting, a loss of accuracy can lead to poor investment decisions.

在金融预测中，准确性损失可能导致不良投资决策。

5.The GPS system suffered a loss of accuracy due to interference from tall buildings.

由于高楼的干扰，GPS系统遭遇了准确性损失。

作文

In today's fast-paced world, technology plays a crucial role in our daily lives. From smartphones to advanced algorithms, we rely heavily on these tools to provide us with accurate information and data. However, one significant concern that arises from the increasing dependence on technology is the potential for loss of accuracy (准确性丧失). This phenomenon can manifest in various fields, including scientific research, data analysis, and even everyday decision-making. Understanding the implications of loss of accuracy (准确性丧失) is essential for both individuals and organizations.Firstly, in the realm of scientific research, the loss of accuracy (准确性丧失) can lead to erroneous conclusions and misguided theories. For instance, when researchers rely on automated data collection methods, there is a risk that the data may be skewed or misinterpreted. This can result in flawed experiments and ultimately hinder scientific progress. Moreover, if the findings are published without rigorous validation, they could mislead other researchers and practitioners, causing a ripple effect of misinformation within the scientific community.Secondly, in the business world, the loss of accuracy (准确性丧失) can have significant financial implications. Companies often use data analytics to make strategic decisions. However, if the data is inaccurate due to poor collection methods or outdated algorithms, businesses may make decisions based on false premises. This can lead to wasted resources, missed opportunities, and ultimately, a decline in profitability. Therefore, it is crucial for organizations to invest in reliable data sources and ensure that their analytical tools are regularly updated to minimize the risk of loss of accuracy (准确性丧失).Furthermore, the impact of loss of accuracy (准确性丧失) extends to everyday life. Consider the use of navigation apps, which many people depend on for directions. If the app provides inaccurate information due to outdated maps or faulty GPS signals, users may end up lost or delayed. This not only affects personal schedules but can also have broader implications, such as increased traffic congestion and frustration among drivers. Thus, understanding the potential for loss of accuracy (准确性丧失) in these applications is vital for users to make informed choices.To mitigate the risks associated with loss of accuracy (准确性丧失), individuals and organizations must adopt proactive measures. This includes regularly reviewing and validating data sources, utilizing multiple methods of data collection, and fostering a culture of critical thinking. By being aware of the limitations of technology and the potential for loss of accuracy (准确性丧失), we can make more informed decisions and enhance the reliability of the information we rely on.In conclusion, while technology has undoubtedly improved our ability to access and analyze information, it is essential to remain vigilant about the potential for loss of accuracy (准确性丧失). Whether in scientific research, business analytics, or everyday navigation, understanding and addressing this issue is crucial for ensuring that the information we receive is both reliable and actionable. By taking steps to minimize the risk of loss of accuracy (准确性丧失), we can harness the full potential of technology while safeguarding against its pitfalls.