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AUC（Area Under Curve）被定义为ROC曲线下与坐标轴围成的面积，显然这个面积的数值不会大于1。 又由于ROC曲线一般都处于y=x这条直线的上方，所以AUC的取值范围在0.5和1之间。

2023年11月27日 · AUC (area under curve) 是一个用于分类任务的模型评价指标，含义为随机抽出一对样本（一个正样本+一个负样本），然后用训练好的模型对这两个样本进行预测，计算正 …

2020年10月6日 · AUC（Area Under Curve）被定义为ROC曲线下的面积，显然这个面积的数值不会大于1。 又由于ROC曲线一般都处于y=x这条直线的上方， 所以AUC的取值范围在0.5和1之 …

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AUC就是从所有1样本中随机选取一个样本，从所有0样本中随机选取一个样本，然后根据你的分类器对两个随机样本进行预测，把1样本预测为1的概率为p1，把0样本预测为1的概率 …