计算ROC曲线和AUC

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计算ROC曲线和AUC的matlab程序

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This is a matlab program designed to calculate the ROC curve and AUC. ROC curve is a graphical representation of the performance of a binary classifier system as its discrimination threshold is varied. It is created by plotting the true positive rate against the false positive rate at various threshold settings. On the other hand, AUC (Area Under the Curve) is the measure of the ability of a classifier to distinguish between positive and negative classes. The higher the AUC, the better the classifier is. The program is user-friendly, with clear instructions and comments provided to guide users throughout the process. Additionally, the program also offers options for customization, allowing users to adjust the parameters to better suit their specific needs. Overall, this program is an efficient and reliable tool for analyzing and evaluating binary classifier systems, making it a valuable asset for researchers and practitioners alike.