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Sensitivity in machine learning, also known as the True Positive Rate, measures the proportion of actual positives correctly identified by the model. It's crucial in fields where missing a positive instance can have serious implications, like medical diagnostics.

The Role of Sensitivity in Performance Metrics

Sensitivity is a key metric in evaluating classification models, especially in imbalanced datasets where the cost of false negatives is high. It helps in understanding the effectiveness of a model in detecting positive cases.

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