Sketch 13: ML accuracy: true negatives and false positives






Summary Limerick

True Positives are correctly identified,
and True Negatives are rightly denied,
but False Positives are bad,
and False Negatives are sad,
as they make the model's accuracy subside

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If an object is correctly identified as belonging to a group, it is a

If an object is correctly identified as not belonging to a group, it is a

If an object is incorrectly identified as belonging to a group, it is a

If an object is incorrectly identified as not belonging to a group, it is a

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