Table 4.
Classification accuracy of proposed method | Classification accuracy of graph-kernel method (Jie et al., 2014) | |
---|---|---|
NC-SMC | 92.31% | 71.05% |
NC-EMCI | 80.00% | 65.09% |
NC-LMCI | 80.68% | 60.22% |
NC-EMCI+LMCI | 92.00% | 66.44% |
NC-AD | 94.12% | 61.9% |
Classification accuracy of proposed method | Classification accuracy of graph-kernel method (Jie et al., 2014) | |
---|---|---|
NC-SMC | 92.31% | 71.05% |
NC-EMCI | 80.00% | 65.09% |
NC-LMCI | 80.68% | 60.22% |
NC-EMCI+LMCI | 92.00% | 66.44% |
NC-AD | 94.12% | 61.9% |