A class decision threshold is the probability used for determining the class label for leaf nodes in a classification model. This threshold can be adjusted up or down to change the performance of the model--increasing or decreasing the counts of true positives, false positives, true negatives and false negatives in the confusion matrix--as required by the business objectives.

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