文件名称：Nonparametric estimation of the threshold at an operating point on the ROC curve
文件大小：700KB
文件格式：PDF
更新时间：2013-06-03 15:03:23
roc
In the problem of binary classification (or medical diagnosis), the classification rule (or diagnostic test) produces a continuous decision variable which is compared to a critical value (or threshold). Test values above (or below) that threshold are called positive (or negative) for disease. The two types of errors associated with every threshold value are Type I (false positive) and Type II (false negative) errors.