Model Performance Metrics for Binary Classification
Understand how to evaluate binary classification models using appropriate performance metrics. Learn to select metrics that align with business goals and interpret model quality. This lesson covers classification correctness, metric relevance to problems, and the impact of model performance on decision-making.
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Before we start building predictive models in earnest, we would like to know how we can determine, once we’ve created a model, whether it is “good” in some sense of the word. As you may imagine, this question has received a lot of attention from researchers and practitioners. Consequently, there is a wide variety of model performance metrics to choose from.
Note: For an idea of the range of options, have a look at the scikit-learn model evaluation page. ...