Chunk #32 — Results — Between-group differences in efficient connectivity in data set 1 — Validation analysis of the SVC classification and SVR prediction in an independent data set
The SVC classification model based on the ReHo images obtained from data set 1 was utilized to discriminate AUD from HCs in an independent cohort. The SVC model yielded an accuracy of 91.67%, a specificity of 94.67%, a sensitivity of 93.00%, and an AUC of 0.97 (Permutation tests, P < 0.001), indicating excellent generalizability in the independent data set 2 (Fig. 5A).
