准确率召回率及f值的计算源码，本代码主要用于上述三个数值的计算，主要针对自然语言处理领域检索结果。-the values of the F and the values of Recall and the precession 。the program is offen used in the area of NLP .

本文主要研究在给定的机械词频词典下的基于字符串匹配的中文分词系统，将一整段文字基本正确的切分成词，并标注上词性。在实现分词的过程中，最重要的两个因素就是分词速度和分词精度。因此，我们以分词速度、分词正确率和分词召回率作为中文分词评测标准，力求达到较高的分词速度和分词精度-word Tagging

局部敏感哈希算法进行数据查找和召回。可以实现最近邻查找、局部敏感哈希算法查找，并且比较两者的召回率。-Local sensitive hashing algorithm to find and recall data. Find the nearest neighbor can be achieved, local sensitive hash algorithm to find and compare the recall.

CSDN-tiny YOLO v3做缺陷检测实战。九月份用tiny-yolo v3做了一个缺陷检测的实验，效果出乎意料，准确率和召回率“满分”！(CSDN tiny Yolo V3 is used for defect detection. In September, we did a defect detection experiment with tiny Yolo V3, and the effect was unexpected. The accuracy and recall rate