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You've posed 2 problems: 1st your CF engine is biased learning. For the question in the title, the only way I see is by stratifying your image set into classes (e.g [0,0.5),[0.5,1]), crossing estimates and observed values in a confusion matrix and then computing precision and recall from it.
