相关疑难解决方法(0)

准确性,精确度,召回率和f-score是机器学习系统中系统质量的度量.它取决于真/假阳性/阴性的混淆矩阵.

鉴于二进制分类任务,我尝试了以下方法来获得一个返回准确性,精确度,召回率和f分数的函数:

gold = [1] + [0] * 9
predicted = [1] * 10

def evaluation(gold, predicted):
  true_pos = sum(1 for p,g in zip(predicted, gold) if p==1 and g==1)
  true_neg = sum(1 for p,g in zip(predicted, gold) if p==0 and g==0)
  false_pos = sum(1 for p,g in zip(predicted, gold) if p==1 and g==0)
  false_neg = sum(1 for p,g in zip(predicted, gold) if p==0 and g==1)
  try:
    recall = true_pos / float(true_pos + false_neg)
  except:
    recall = 0
  try:
    precision …