We used auto ml for multi label text classification. They use average precision as metric (the area under the precision-recall curve) but they didn’t mentioned if it is micro or macro or sample.Dose anybody know how they calculate average precision in google auto ml ?
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All evaluation metrics are micro-averaged in AutoML evaluations.