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What's the f1 score? How would you use it?
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Answer / Km. Archana
F1 Score is the harmonic mean of Precision and Recall, providing a balanced evaluation metric for imbalanced datasets. It ranges between 0 and 1, with higher values indicating better model performance. F1 Score can be used to evaluate binary classifiers like Naive Bayes, SVM, and Logistic Regression.
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