It is a classification performance metric. Is the ability of a classifier to not label a true negative observation as positive.
Values range from 0 (bad) to 1 (perfect)
From the confusion matrix,
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Apr 23, 20241 min read
It is a classification performance metric. Is the ability of a classifier to not label a true negative observation as positive.
Values range from 0 (bad) to 1 (perfect)
From the confusion matrix,
Precision=#True Positive Observation+#False Positive#True Positive Observations