写的 - Amato
1. Sensitivity (also called the true positive rate, or the recall rate in some fields) measures the proportion of actual positives which are correctly identified as such (e.g. the percentage of sick people who are correctly identified as having the condition).
2. A perfect predictor would be described as 100% sensitive (i.e. predicting all people from the sick group as sick) and 100% specific (i.e. not predicting anyone from the healthy group as sick); however, theoretically any predictor will possess a minimum error bound known as the Bayes error rate.
3. Specificity measures the proportion of negatives which are correctly identified as such (e.g. the percentage of healthy people who are correctly identified as not having the condition, sometimes called the true negative rate).
4. For example: in an airport security setting in which one is testing for potential threats to safety, scanners may be set to trigger on low-risk items like belt buckles and keys (low specificity), in order to reduce the risk of missing objects that do pose a threat to the aircraft and those aboard (high sensitivity).
5. Sensitivity and specificity are statistical measures of the performance of a binary classification test, also known in statistics as classification function.
6. These two measures are closely related to the concepts of type I and type II errors.
7. For any test, there is usually a trade-off between the measures.
8. This trade-off can be represented graphically as a receiver operating characteristic curve.
或按照以下指南在PC上使用 :
选择你的电脑版本:
软件安装要求:
可直接下载。下载如下：
现在，打开已安装的模拟器应用程序并查找其搜索栏。一旦找到它，请键入 Sensitivity and specificity 在搜索栏并按搜索。点击 Sensitivity and specificity应用程序图标。一个 窗口 Sensitivity and specificity 在Play商店或应用程序商店将打开并且它将在您的模拟器应用程序中显示商店。现在，按下安装按钮并像在iPhone或Android设备上一样，您的应用程序将开始下载。现在我们都完成了。
你会看到一个名为“所有应用程序”的图标。
点击它，它会带你到一个包含所有已安装应用程序的页面。
你应该看到 图标。点击它并开始使用该应用程序。
下载 Sensitivity and specificity 对于Mac OS (Apple)
| 下载 | 开发人员 | 评论 | 评分 |
|---|---|---|---|
| $0.99 对于Mac OS | Amato | 0 | 1 |
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