Accuracy is one of the simplest metrics for evaluating classification models.
In this video, we explain Accuracy in a simple way:
what Accuracy means
how the Accuracy formula works
how Accuracy relates to the confusion matrix
when Accuracy is useful
why Accuracy can be misleading with imbalanced data
Accuracy tells us the percentage of correct predictions, but it does not always tell the full story. In problems like rare disease detection or fraud detection, high accuracy can still hide serious mistakes.
In the next video, we’ll continue with Precision vs Recall.
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