In binary classification, the positive class is one of the two output classes, representing the presence or occurrence of a specific feature or characteristic. It is typically labeled as '1' in a dataset.
Role of the Positive Class in Machine Learning
Understanding the positive class is crucial for interpreting the results of binary classification models. The performance metrics of the model, such as precision and recall, are often calculated with respect to the positive class to assess the model's effectiveness in identifying true instances of this class.
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