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Classifier Measures

Explore essential classifier evaluation metrics including accuracy, precision, recall, specificity, and negative predictive value. This lesson helps you understand how to interpret confusion matrices and use Python tools to assess binary classification models effectively.

Accuracy

We can define the accuracy we’ve measured thus far as:

Accuracy=TruePositives+TrueNegativeTotalPopulationAccuracy = \frac{\sum TruePositives + \sum TrueNegative}{TotalPopulation} ...