Computer scienceData scienceMachine learningClassificationClassification metrics

Precision and recall

Precision

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Imagine you work with images of banknotes. Your task is to predict, if a banknote is forged (F). You've trained a classifier and got first predictions. Now you'd like to compare predicted values with the real ones and calculate the precision of your model.

True F G F F G F G F F F
Predicted F G G F F G F G F F

Round your answer to 3 decimal places.

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