有关机器学习分类算法的Precision和Recall，以下定义中正确的是（假定tp = true positive, tn = true negative, fp = false positive, fn = false negative）（）A、Precision= tp / (tp + fp), Recall = tp / (tp + fn) B、Precision = tp / (tn + fp), Recall = tp /(tp + fn) C、Precision = tp / (tn + fn), Recall = tp /(tp + fp) D、Precision = tp / (tp + fp), Recall = tp /(tn + fn)-易过题库-题库最全的搜题网站

有关机器学习分类算法的Precision和Recall，以下定义中正确的是（假定tp = true positive, tn = true negative, fp = false positive, fn = false negative）（）

APrecision= tp / (tp + fp), Recall = tp / (tp + fn)

BPrecision = tp / (tn + fp), Recall = tp /(tp + fn)

CPrecision = tp / (tn + fn), Recall = tp /(tp + fp)

DPrecision = tp / (tp + fp), Recall = tp /(tn + fn)

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