Machine Learning: Why accuracy is not always the best metric?

Accuracy is the most used metric for deciding which Machine Learning algorithm to be used to solve a problem. The algorithm which gives better accuracy score is finalized for that business problem. However, there are some business cases where the data set is highly imbalanced and accuracy cannot be used. In this case, other metrics need to be used for deciding the learning algorithm

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