Evaluation metric plays an important role in obtaining the best possible classifier in the classification training. Thus, choosing an appropriate evaluation metric is an essential key for obtaining a selective and best possible classifier. The associated evaluation metrics have been reviewed systematically that are specifically considered as a discriminator for optimizing a classifier. In general, many possible classifiers use accuracy as a measure to classify the optimal solution during the classification evaluation. Thus, the measurement device that measures the performance of a classifier is considered as the evaluation metric. Different metrics are used to evaluate various characteristics of the classifier induced by the classification method.

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