Fig.6

ACC, AUC, sensitivity and specificity results over fivefold cross validation experiment in training (a) and testing (b). For task1, in the train set, AUC = 0.94, ACC = 0.87, specificity = 0.86, and sensitivity = 0.90. In the test set, AUC = 0.79, ACC = 0.74, specificity = 0.75, and sensitivity = 0.77. For task 2, in the train set, AUC = 0.51, ACC = 0.45, specificity = 0.35, and sensitivity = 0.62. In the test set, AUC = 0.51, ACC = 0.58, specificity = 0.45, and sensitivity = 0.73. For task 3, in the train set, AUC = 0.83, ACC = 0.74, specificity = 0.54, and sensitivity = 0.95. In the test set, AUC = 0.79, ACC = 0.67, specificity = 0.42, and sensitivity = 0.95. For task 4, in the train set, AUC = 0.86, ACC = 0.77, specificity = 0.71, and sensitivity = 0.83. In the test set, AUC = 0.91, ACC = 0.85, specificity = 0.79, and sensitivity = 0.91