June 2017
Beginner to intermediate
334 pages
7h 11m
English
Content preview from Learning Salesforce Einstein
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Precision and recall
Mathematically, precision and recall are defined as follows:
precision = TP/(TP + FP)
recall = TP/(TP + FN)
In our table example, precision and recall are as follows:
precision = 2/2+1 = 0.67
recall = 2/2+2 = 0.5
Out of all the possible options that were indicated as true, precision conveys what fraction of the result was actually correct.
Out of all the possible examples, recall conveys what fraction was picked correctly by the classifier.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.