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Ways to calibrate the predicted probabilities for products not qualified utilizing a probabilistic framework.
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ROC Curves, precision-remember curves and the realm under curves that summarize these diagnostics into a single score.
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If ninety nine% of illustrations in the dataset belong to 1 class, then misclassification mistakes for that minority class ought to be a whole lot additional essential to the design than misclassification glitches for the majority class.
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You can make any of these positive or damaging figures. The that means on the positive quantities is easy, but for negative figures, the same as indexes in Python, you depend backwards with the close for the beginning