*Malware: Detection and Defense DOI: http://dx.doi.org/10.5772/intechopen.108434*

The ROC curve is a curve that compares two variables, the one being the genuine positive and the other being the false positive. True positive identifies the positive values that were accurately recognized by the model as positive. It defines false positives as negative values that were likewise considered to be negative by the classifier. The ROC curve graphic will show the true positive rate of a system in proportion to its false positive rate at various locations.
