Eight classification techniques, including Multi-Layered Perceptron (MLP), Gaussian Naïve Bayes (NB), Logistic Regression (LR), Decision Tree classifier (DT), K-Nearest Neighbor classifier (KNN), Random Forest classifier (RF), Support Vector Machine classifier (SVM), and AdaBoost (AB) were applied to model and predict the CC-SoC. Moreover, these methods were employed to compare the performance of different classifiers and obtain the highest possible accuracy. The classifiers were briefly explained in this section.