Interview Questions: What are the different metrics used for classification?

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Classification is a supervised learning task in machine learning that involves predicting the class label of a given input. There are several metrics used to evaluate the performance of a classification model.

  1. Accuracy: Accuracy is one of the most commonly used metrics for evaluating classification models. It is defined as the ratio…