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</html><description>Description: Weighted Average Precision is a metric used in supervised learning to evaluate the performance of a classification model. Unlike simple precision, which considers the proportion of correct predictions over the total predictions, weighted average precision takes into account the imbalance in classes. This means that each class can have a different weight in the [&hellip;]</description></oembed>
