Answer Posted / 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.

What are standardization and normalisation? Give one advantage of each over the other?

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