| 1. | What is false negative and false positive
什么是假阴性同假阳性？ |
| 2. | Extremely low rate of false positives and as few false negatives as possible
假阳性率非常低,尽可能少虚假底片 |
| 3. | False negative rate
假阴性率漏诊率 |
| 4. | False negative error
假阴性错误 |
| 5. | As a result , dr hartung estimates that false positives could outweigh false negatives 75 times over
最终，哈尔顿博士估计假阳性将超出假阴性达七十五倍之多。 |
| 6. | False negatives in spam filters just mean that some unwanted messages make it to your inbox
在垃圾邮件过滤器中的“误否认” （ false negatives ）仅意味着一些不需要的消息进入了邮箱。 |
| 7. | Note that you can tweak how the error is calculated if you want to punish false positives more than false negatives
注意：你能够调整误差计算，以给假阳性比假阴性更多的惩罚（宁缺勿滥的策略） 。 |
| 8. | In evaluating techniques , as i stated , i consider false positives very bad , and false negatives only slightly bad
在评估技术中，正如我所说，我认为“误承认”这种情况最差，而“误否认”这种情况只是稍微有点差。 |
| 9. | Below shows , however , false negatives are far more common using distributed blacklists than with any of the other techniques i tested
所显示，使用分布式黑名单时发生“误否认”的频率要比其它我所测试的技术多很多。 |
