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Sklearn Precision and recall giving wrong values

原文 2021-07-16 08:50:18 2 1 python/ scikit-learn/ decision-tree/ precision-recall

Why is my precision score so low in the above image?

1 answers

I see in your comments that you're trying to interpret confusion_matrix as [[tp, fp], [fn, tn]]

Based on documentation , sklearn.confusion_matrix is a function that returns an array of:

[[tn, fp], [fn, tp]]

So, it's vice-versa and the calculation is right:

397 / (397 + 925) = 0.30030257...

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