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Precision is about variability while accuracy (in contrast to precision) is about bias. This tag pertains to measurement or estimation; use [precision-recall] when talking about classifiers.

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How to compute accuracy for multi class classification problem and how is accuracy equal to ...

a perfect understandable solution for this problem as I was looking for same from this Question You can calculate and store accuracy with: (accuracy <- sum(diag(mat)) / sum(mat)) # [1] 0.9333333 Precision … 1.0000000 0.9090909 0.8750000 If you wanted to grab the precision for a particular class, you could do: (precision.versicolor <- precision["versicolor"]) # versicolor # 0.9090909 Recall for …
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