Table 3 Ten-fold cross-validation accuracies of K-NN and SVM based on HVGE and SE features with optimal parameters
From: Analysis of alcoholic EEG signals based on horizontal visibility graph entropy
Electrodes | HVGE | SaE | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
K-NN | SVM | K-NN | SVM | |||||||
k | Acc (%) | C | \(\sigma \) | Acc (%) | k | Acc (%) | C | \(\sigma \) | Acc (%) | |
CP6 | 24 | 79.3 | 8 | 33.47 | 79.4 | 26 | 75.3 | 0.3 | 23.08 | 76.6 |
\(C\)1, \(C\)3, FC5 | 9 | 87.5 | 8 | 0.93 | 87.6 | 23 | 84.5 | 8 | 0.55 | 83.8 |
\(13\) channels | 9 | 95.6 | 8 | 0.09 | 95.8 | 21 | 89.7 | 4 | 0.07 | 90.2 |
\(63\) channels | 7 | 98.2 | 4 | 0.01 | 98.1 | 7 | 95.2 | 8 | 0.01 | 94.3 |