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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 …