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Roc的全名叫做receiver operating characteristic，其主要分析工具是一个画在二维平面上的曲线——roc 曲线。 平面的横坐标是false positive rate (fpr)，纵坐标是true positive rate (tpr)。 Roc 曲线是一种坐标图式的分析工具，是由二战中的电子和雷达工程师发明的，发明之初是用来侦测敌军飞机、船舰，后来被应用于医学、生物学、犯罪心理学。 如今， roc 曲线已经被广. 在统计和机器学习中，常常用auc来评估二分类模型的性能。auc的全称是 area under the curve，即曲线下的面积。 通常这里的曲线指的是 受试者操作曲线 (receiver operating.
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在 r 语言中，`roc` 函数通常用于计算受试者工作特征曲线（receiver operating characteristic curve，简称 roc 曲线）。这个函数可以在多个包中找到，但最常见的是在 `proc` 包中.
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