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pythonscikit-learndecision-treeprecision-recall

Sklearn Precision and recall giving wrong values

enter image description here

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

Solution

  • 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...