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@andrii0xfff
The overall accuracy and error rate are the most frequently used metrics to report the performance of ML models. However, these are insufficient metrics for tasks with class imbalance because they treat all classes equally, which means the performance of your model on the majority class will dominate these metrics. This is especially bad when the majority class isn’t what you care about.
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