Sklearn Precision 和召回给出错误的值
[英]Sklearn Precision and recall giving wrong values
问题描述
Why is my precision score so low in the above image?
为什么上图中我的精度分数如此之低？
1 个解决方案
解决方案1
3 已采纳 2021-07-16 09:01:39
I see in your comments that you're trying to interpret confusion_matrix as [[tp, fp], [fn, tn]]我在你的评论中看到你试图将混淆[[tp, fp], [fn, tn]]解释为[[tp, fp], [fn, tn]]
Based on documentation , sklearn.confusion_matrix is a function that returns an array of:根据文档， sklearn.confusion_matrix是一个函数，它返回一个数组：
[[tn, fp], [fn, tp]]
So, it's vice-versa and the calculation is right:所以，反之亦然，计算是正确的：
397 / (397 + 925) = 0.30030257...
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