As you can see, it is about a binary classification with linearSVC. The class 1 has a higher precision than class 0 (+7%), but class 0 has a higher recall than class 1 (+11%). How would you interpret this?
And two other questions: what does "support" stand for? The precision and recall scores in the classification report are different compared to the results of sklearn.metrics.precision_score or recall_score. Why is that so?
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Log in to answerBest Answer · By JanBask Data Science Expert
Answered on Feb 15, 2023
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