predictable accuracy at 95%95%

简明释义

的预报精度

英英释义

例句

1.Our sales predictions show a predictable accuracy at 95% based on historical data.

我们的销售预测基于历史数据，显示出95%的可预测准确性。

2.The medical test results come with a predictable accuracy at 95%, ensuring reliable diagnoses.

该医学测试结果具有95%的可预测准确性，确保诊断的可靠性。

3.The weather forecast has a predictable accuracy at 95% for the upcoming week.

天气预报对于即将到来的一周有95%的可预测准确性。

4.The algorithm was designed to provide predictable accuracy at 95% in identifying fraudulent transactions.

该算法旨在提供95%的可预测准确性以识别欺诈交易。

5.With machine learning models, we achieve a predictable accuracy at 95% in our classification tasks.

通过机器学习模型，我们在分类任务中实现了95%的可预测准确性。

作文

Predictable accuracy at 95% is a term often used in statistics and research to indicate the reliability of a given result or measurement. When we say that something has a predictable accuracy at 95%, we mean that if we were to conduct the same experiment multiple times, we would expect the results to fall within a certain range 95% of the time. This concept is crucial in fields such as medicine, social sciences, and market research, where decisions are often made based on statistical analyses.In the realm of scientific research, achieving a predictable accuracy at 95% is considered a standard benchmark. For instance, when a new drug is tested for its effectiveness, researchers will often report their findings with a confidence interval that reflects a predictable accuracy at 95%. This means that there is a high level of certainty that the drug will perform similarly in the general population as it did in the sample studied. Such accuracy is vital because it helps in making informed decisions about the drug's approval and subsequent use in medical practice.Moreover, in social sciences, surveys and polls frequently utilize the concept of predictable accuracy at 95%. When polling organizations report that a candidate has a certain percentage of support with a predictable accuracy at 95%, they are indicating that there is a 95% chance that the true level of support lies within a specified range. This information is invaluable during elections, as it helps stakeholders understand public opinion and make strategic decisions accordingly.However, it is essential to recognize that a predictable accuracy at 95% does not guarantee absolute certainty. It merely provides a statistical framework within which we can interpret data. For example, if a study claims a predictable accuracy at 95%, it still allows for a 5% chance that the results could fall outside of the expected range. This uncertainty must be taken into account, especially when significant decisions are based on statistical findings.In practical applications, understanding predictable accuracy at 95% can also help businesses make better decisions. Companies often rely on market research to understand consumer behavior, and when they see results presented with a predictable accuracy at 95%, they can be more confident in their strategies. For example, if a company learns that 70% of consumers prefer their product over a competitor's, with a predictable accuracy at 95%, they can use this information to inform marketing campaigns and product development.In conclusion, the term predictable accuracy at 95% plays a critical role in various fields, providing a measure of reliability and confidence in results. Whether in medical trials, social science research, or business analytics, understanding this concept enables better decision-making. It is important for researchers, policymakers, and business leaders to grasp the implications of predictable accuracy at 95% and to communicate these findings effectively to ensure that decisions are grounded in solid evidence rather than mere speculation. By doing so, we can enhance the quality of our conclusions and ultimately contribute to more informed and effective practices in our respective fields.

95%的可预测准确性是一个常用于统计学和研究的术语，用以指示给定结果或测量的可靠性。当我们说某事具有95%的可预测准确性时，我们的意思是，如果我们多次进行同样的实验，我们期望结果在95%的时间内落在某个范围内。这个概念在医学、社会科学和市场研究等领域至关重要，因为在这些领域，决策往往是基于统计分析做出的。在科学研究领域，达到95%的可预测准确性被视为标准基准。例如，当一种新药物被测试其有效性时，研究人员通常会报告他们的发现，并附上反映95%的可预测准确性的置信区间。这意味着有很高的确定性，该药物在一般人群中的表现与在研究样本中的表现相似。这种准确性至关重要，因为它有助于做出关于药物批准和后续在医学实践中使用的明智决策。此外，在社会科学中，调查和民意调查经常利用95%的可预测准确性这一概念。当民调组织报告某候选人获得了一定比例的支持，并带有95%的可预测准确性时，他们表明有95%的机会，真实的支持水平位于指定范围内。这些信息在选举期间是非常宝贵的，因为它帮助利益相关者理解公众意见并相应地做出战略决策。然而，必须认识到，95%的可预测准确性并不保证绝对的确定性。它仅提供了一个统计框架，通过该框架我们可以解释数据。例如，如果一项研究声称具有95%的可预测准确性，这仍然允许有5%的机会，结果可能落在预期范围之外。这种不确定性必须考虑在内，尤其是在基于统计发现做出重大决策时。在实际应用中，理解95%的可预测准确性也可以帮助企业做出更好的决策。公司往往依赖市场研究来了解消费者行为，当他们看到以95%的可预测准确性呈现的结果时，他们可以对自己的战略更有信心。例如，如果一家公司得知70%的消费者更喜欢他们的产品而不是竞争对手的产品，并且具有95%的可预测准确性，他们可以利用这些信息来指导营销活动和产品开发。总之，95%的可预测准确性这一术语在各个领域中发挥着关键作用，为结果提供了一种可靠性和信心的衡量标准。无论是在医学试验、社会科学研究还是商业分析中，理解这一概念使得更好的决策成为可能。研究人员、政策制定者和企业领导者理解95%的可预测准确性的含义并有效地传达这些发现至关重要，以确保决策是基于坚实的证据而非单纯的推测。通过这样做，我们可以提高结论的质量，最终为我们各自领域的更明智和更有效的实践做出贡献。