Answer Posted / Sandeep Kumar

Accuracy in Machine Learning refers to the ratio of correctly predicted instances to the total number of instances. It is a common evaluation metric that measures how often a model makes correct predictions, but it may not always be the best choice for imbalanced datasets.

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74

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209

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