Sensitivity, Specificity and Predictive Values – What is the best way to measure the performance of binary classification models?

Classification means assigning an outcome to an individual or case, usually for the purpose of making a decision. Examples include predicting which individuals will default on personal debt to decide who could be offered a credit card, or predicting which visitors to a retail website will make a purchase. In this blog we will discuss some ways of measuring the performance of a classification model.

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Classifying Binary Outcomes

We recently discussed how a logistic regression can be used to model a binary response and predict the probability of a binary outcome. However, there are instances when we need to take this a step further and classify the outcome based on a cut-off probability threshold.

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