Examples of using False negative in English and their translations into Chinese
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In a classification task, this error could be a false positive or a false negative.
在分类任务中，这种错误可能是假正例或者假负例。Both my false positive and false negative rates are low, which means that I can identify POI's reliably and accurately.
这是两个世界中最好的识别符，我的falsepositive和falsenegative率均为（low），这意味着我可以可靠、准确地识别POI。In the case of faces, the first classifier in the cascade- called the attentional operator- uses only two features to achieve a false negative rate of approximately 0% and a false positive rate of 40%.
在人脸检测中，第一级分类器（也称为attentionaloperator）只使用了2个特征，就达到了将近0%的漏检率（falsenegativerate）以及40%的误检率（falsepositiverate）。Sometimes the model may think something is a face when its not(false positive), or miss a face completely(false negative).
有时模型可能会将一些东西认成一张脸，但它并不是（假正类，falsepositive），或者完全错过一张脸（假负类，falsenegative）。Independently from the choice of VAD algorithm, we must compromise between having voice detected as noise or noise detected as voice(between false positive and false negative).
对于任何一个VAD算法，都要在将语音检测为噪声或将噪声检测为语音(假阳性和假阴性)之间寻求妥协。False negatives can delay diagnosis and treatment.
False negatives: Delayed Zika effects in babies who appeared normal at birth.
假阴性:延迟寨卡病毒对出生时表现正常的婴儿的影响.A Bloom filter may generate false positives and not false negatives.
例如，一个Bloom-filter可能有假阳性，而不是假阴性。This is precisely how science progresses- countless identified false negatives and false positives.
这正是科学进展如何,无数的假阴性和假阳性。Balance: More False Positives or More False Negatives?
平衡：更多的假阳性或更多的假阴性？?False Negatives(FN): number of positive examples, labeled as negative. .
FalseNegatives（FN）：正面实例的数量被分类为负面。False Negatives(FN): The number of positive instances that were classified as negative. .
FalseNegatives（FN）：正面实例的数量被分类为负面。During this test, the AI managed to reduce false negatives by 9.4 percent(compared to average detection rates), and false positives by 5.7 percent.
在这次测试中，人工智能设法减少了9.4%的假阴性（与平均检测率相比），假阳性减少了5.7%。Both false negatives and false positives can occur with this test and are more likely in those with a low probability of having HIT II.
两假阴性和误报可能会出现与这个测试，并且更有可能在那些与曾触及II的概率很低。Fill in the following boxes to practice identifying true positives, false positives, true negatives, and false negatives.
在以下方框中填空，练习识别truepositive、falsepositive、truenegative和falsenegative。Experimenters also wish to limit Type II errors(false negatives resulting in missed scientific discoveries).
实验者也希望II型错误（假阴性导致的缺乏科学发现）有限。They can reduce statistical power by producing too many type II errors(false negatives, or“ignoring effects which do actually exist”).
它们可能产生太多的II型错误（假阴性，或者说“忽略实际存在的效应”）从而降低统计的效果。Because we had three false negatives, our TPR and NPV were lower than our accuracy.
因为我们有三个假阴性，我们的TPR和NPV低于我们的准确性。Below, we walk through two of our most common use cases: identifying useful features of ML models and eliminating false negatives in model results.
下面，我们介绍最常见的两个用例：识别机器学习模型的有用特征和消除模型结果中的假阴性。Reading these X-ray images is a difficult task, even for experts, and can often result in both false positives and false negatives.
阅读这些x射线图像是一项困难的任务，即使对专家来说也是如此，经常会导致假阳性和假阴性。
