Question: A binary classification model is tested on 1000 data points, of which it predicts 200 belonging to the positive class and 750 are predicted

A binary classification model is tested on 1000 data points, of which

A binary classification model is tested on 1000 data points, of which it predicts 200 belonging to the positive class and 750 are predicted correctly as the negative class. Out of 1000, if actually only 150 data points belong to the positive class, what is the model's F1-score for the positive class? *

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