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FrancoSwiss
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Precision vs. Recall

Can I make the following statement about a binary classification, please?

Precision 1: 0.10 Recall 1: 0.83

Statement: "We can expect 90% false alarms (1 - 0.10). But for the remaining 10%, we can be around 83% certain (Recall 1: 0.83), that we caught a label 1."

Thanks in advance!

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