sklearn.metrics.classification_report报告解析

参考：

https://scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html#sklearn.metrics.classification_report

https://blog.csdn.net/comway_Li/article/details/102758972

 对应关系：accuracy 就是之前的acc,

macro avg recall就是之前的mA，

macro avg precsion是mPrec

weighted不常用

micro和accuracy的关系：

The reported averages include macro average (averaging the unweighted mean per label)

weighted average (averaging the support-weighted mean per label), and sample average (only for multilabel classification).

Micro average (averaging the total true positives, false negatives and false positives) is only shown for multi-label or multi-class with a subset of classes, because it corresponds to accuracy otherwise. 

micro average只能用于一个多类别评测的子类别，因为本质上就是accuracy。