Why the high accuracy in classification is not always correct?

Classification accuracy is a statistic that describes a classification model's performance by dividing the number of correct predictions by the total number of predictions. It is simple to compute and comprehend, making it the most often used statistic for assessing classifier models. But not in every scenario accuracy score is to be considered the best metric to evaluate the model. In this article, we will discuss the reasons not to believe in the accuracy performance parameter completely. Following are the topics to be covered.