SVM算法中各标签对应精确率,召回率,f1score

1.精确率,召回率,f1score

主要参考博文https://www.cnblogs.com/pinard/p/5993450.html

2.用sklearn计算各标签对应的精确率,召回率,f1score,support(测试样本个数)

https://scikit-learn.org/stable/modules/classes.html#module-sklearn.metrics

classification_report()

precision_recall_fscore_support()

recall_score()

计算召回率

labels_recall_score = recall_score(y_true,y_pred,average=None)

precision_score()

f1_score()

3.各标签对应准确度实践

1)安装与测试sklearn库

2)把liblinear包导入linux环境下,并按照readme make生成相应文件

3)测试liblinear

4)把数据导入数据库