In the new study, "after 14 tests total, over half of the people in our study had a false-positive result."
在我们的研究中,如果做上14项检测,会有一半以上的人出现假阳性结果。
Basically, a false positive is a data instance where the model we've created predicts it should be positive, but instead, the actual value is negative.
假正指的是这样的一个数据实例:我们创建的这个模型预测它应该是正的,但事实相反,实际值却是负的。
Even realizing that the findings may have been a false positive, I still respect it.
即使是认识到这发现本就是错误肯定,我仍尊重它。
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