Performance comparison of the selected features with the SVM Classifier utilizing five-fold stratified cross validation.

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.

本文展示了各核函数（kernel）下最优C值对应的最佳性能表现，并标注出了取得该最优性能时所使用的特征集（feature set）与核函数。评估指标：准确率（Accuracy, ACC）、灵敏度（Sensitivity, SENS）、特异度（Specificity, SPEC）与F1分数（F1-score, F1）。相似度度量指标：cs：余弦相似度（Cosine Similarity）、cc：相关系数（Correlation Coefficient）、md：曼哈顿距离（Manhattan Distance）、ed：欧氏距离（Euclidean Distance）、xcrd：互相关距离（Cross-correlation Distance）、dtw：动态时间规整距离（Dynamic Time Warping Distance）。