machine-learning - Calculate Precision and Recall for more than 2 classes

Question

Can any one help me out in calculating precision and recall for more than 2 classes. While googling over the internet i found the following help full URL

Calculate Precision and Recall

I want exactly the same available in the above URL using NB classifier except i want precision and recall for more than 2 classes

Please help me

Thank you

Answer 1

有两种不同的策略来计算不同类别的准确率和召回率。

第一个选项只是平均它们的值（这称为宏观平均）。

第二个选项称为微平均，它是加权平均，其中每个类的重要性由其标记实例的相对数量定义。类中的文档越多，它的权重就越大。

杨的这篇文章详细解释了这个概念。