klotz: precision* + specificity* + true negatives* + balanced accuracy* + machine learning* + roc curves* + false positives* + evaluation* + confusion matrix*

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  1. Learn about the importance of evaluating classification models and how to use the confusion matrix and ROC curves to assess model performance. This post covers the basics of both methods, their components, calculations, and how to visualize the results using Python.

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