As binary classifier is classifying based on probability threshold of 0.5, how could I change the threshold to be something else like 0.6 to increase precision?
Is there a way to do this withing the model or it should be after getting the probability. i.e. post training
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First use model.predict() to extract the class probabilities. For binary classification use a threshold to select the probabilities that will determine class 0 or 1
np.where(y_pred > 0.6, 1,0)
Thank you.
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