Performance comparison of the selected features with the SVM Classifier utilizing undersampling method.

Best performance for a C value among the kernel is presented. Highest performances are highlighted, along with the feature set and kernel that achieved it. Evaluation Metrics: Accuracy (ACC), Sensitivity (SENS), Specificity (SPEC), and F1-score (F1). Similarity Measures: cs: Cosine Similarity, cc: Correlation Coefficient, md: Manhattan Distance, ed: Euclidean Distance, xcrd: Cross-correlation Distance, dtw: Dynamic Time Warping Distance.