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)# 计算准确率（所有预测正确的样本比例）：Accuracy = metrics.accuracy_score(actual, predicted)print(Accuracy)