import numpyfrom sklearn import metrics# 生成模拟二分类数据（正类概率 90%）actual = numpy.random.binomial(1, 0.9, size=1000)predicted = numpy.random.binomial(1, 0.9, size=1000)# 计算精确率（预测为正类的样本中实际为正类的比例）：Precision = metrics.precision_score(actual, predicted)print(Precision)