Research Article
Recognition of Imbalanced Epileptic EEG Signals by a Graph-Based Extreme Learning Machine
Table 4
Results of all methods on the recall index.
| Datasets | ELM | W1-ELM | W2-ELM | R1-ELM | R2-ELM | G-ELM |
| D1 | 0.7467(0.0072) | 0.8231(0.0194) | 0.8048(0.0219) | 0.8533(0.0056) | 0.8967(0.0038) | 0.9367(0.0021) | D2 | 0.7233(0.0083) | 0.8051(0.0351) | 0.7881(0.0194) | 0.8467(0.0034) | 0.8667(0.0031) | 0.9033(0.0038) | D3 | 0.8403(0.0088) | 0.7933(0.0172) | 0.7947(0.0184) | 0.9233(0.0045) | 0.9233(0.0055) | 0.9533(0.0034) | D4 | 0.7867(0.0064) | 0.7625(0.0199) | 0.8156(0.0354) | 0.8767(0.0045) | 0.8833(0.0047) | 0.9196(0.0034) | D5 | 0.7167(0.0110) | 0.8006(0.0201) | 0.8509(0.0218) | 0.7967(0.0080) | 0.8567(0.0045) | 0.8489(0.0035) | D6 | 0.6867(0.0134) | 0.8037(0.0270) | 0.8374(0.0166) | 0.8333(0.0054) | 0.8498(0.0065) | 0.8805(0.0056) | D7 | 0.7405(0.0093) | 0.7825(0.0273) | 0.7751(0.0162) | 0.8597(0.0042) | 0.8906(0.0045) | 0.8933(0.0028) | D8 | 0.7667(0.0054) | 0.7619(0.0254) | 0.8125(0.0272) | 0.8933(0.0053) | 0.9033(0.0058) | 0.9267(0.0028) | D9 | 0.6902(0.0114) | 0.7972(0.0150) | 0.8143(0.0172) | 0.8533(0.0034) | 0.8667(0.0054) | 0.8896(0.0045) | Ave | 0.7442 | 0.7922 | 0.8104 | 0.8596 | 0.8819 | 0.9058 | Ave. std | 0.0090 | 0.0229 | 0.0216 | 0.0049 | 0.0049 | 0.0035 |
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