Figure 6.

Comparison of classification results by five different methods using 7 performance metrics and also ROC curves. Results are based on the Pearson's correlation (PC), sparse representation (SR), sparse group representation (SGR), weighted sparse representation (WSR), and weighted sparse group representation (WSGR). Seven metrics include accuracy (ACC), sensitivity (SEN), specificity (SPE), area under curve (AUC), Youden's index (YI), F‐Score, and balanced accuracy (BAC). [Color figure can be viewed at http://wileyonlinelibrary.com]