Research Article
Recognition of Imbalanced Epileptic EEG Signals by a Graph-Based Extreme Learning Machine
Table 6
Results of all methods on the
-measure index.
| Datasets | ELM | W1-ELM | W2-ELM | R1-ELM | R2-ELM | G-ELM |
| D1 | 0.8187(0.0047) | 0.7716(0.0111) | 0.8103(0.0218) | 0.9031(0.0013) | 0.8797(0.0053) | 0.9244(0.0016) | D2 | 0.7931(0.0057) | 0.7561(0.0225) | 0.7808(0.0151) | 0.8946(0.0028) | 0.8786(0.0035) | 0.9285(0.0031) | D3 | 0.8323(0.0075) | 0.7620(0.0130) | 0.7680(0.0151) | 0.8686(0.0036) | 0.8590(0.0028) | 0.9285(0.0017) | D4 | 0.7942(0.0062) | 0.7628(0.0152) | 0.7539(0.0220) | 0.8755(0.0021) | 0.8536(0.0033) | 0.9158(0.0032) | D5 | 0.5883(0.0073) | 0.7463(0.0123) | 0.7636(0.0188) | 0.7872(0.0044) | 0.6444(0.0054) | 0.8739(0.0053) | D6 | 0.6762(0.0121) | 0.8032(0.0250) | 0.8285(0.0231) | 0.8423(0.0052) | 0.7148(0.0134) | 0.8854(0.0040) | D7 | 0.7528(0.0061) | 0.7924(0.0261) | 0.7507(0.0116) | 0.8575(0.0033) | 0.8412(0.0037) | 0.9089(0.0032) | D8 | 0.8012(0.0074) | 0.7708(0.0233) | 0.7797(0.0176) | 0.8531(0.0056) | 0.8387(0.0053) | 0.9089(0.0030) | D9 | 0.7545(0.0108) | 0.7130(0.0178) | 0.7069(0.0149) | 0.8079(0.0074) | 0.7566(0.0044) | 0.8744(0.0068) | Ave | 0.7568 | 0.7642 | 0.7714 | 0.8544 | 0.8074 | 0.9054 | Ave. std | 0.0075 | 0.0185 | 0.0178 | 0.0040 | 0.0052 | 0.0036 |
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