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具有F分数，精度或召回力的LIBSVM评估

[英]LIBSVM Evaluation with F-Score, Precision or Recall

原文 2013-04-18 16:12:36 6 1 python/ libsvm

I am new to Libsvm, and I just tried doing cross validation using grid.py and it gave me only accuracy evaluation. 我是Libsvm的新手，我只是尝试使用grid.py进行交叉验证，它只给了我准确性评估。

How do I make it show F-Score (preferred), or Precision and Recall? 如何使它显示F-Score（首选）或Precision and Recall？

Thanks! 谢谢！

1 个解决方案

The authors of libsvm have provided an extension which enables you to use different scoring mechanisms during cross-validation, depending on your needs. libsvm的作者提供了一个扩展，使您可以根据需要在交叉验证期间使用不同的评分机制。 Currently, it supports precision , recall , fscore , bac and auc . 当前，它支持precision ， recall ， fscore ， bac和auc 。

Unfortunately, setting it up does involve a bit of manual work, so, if you need any help, please let me know. 不幸的是，设置它确实需要一些手动工作，因此，如果您需要任何帮助，请告诉我。

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