Research Article
Recognition of Imbalanced Epileptic EEG Signals by a Graph-Based Extreme Learning Machine
Table 3
Results of all methods on the accuracy index.
| Datasets | ELM | W1-ELM | W2-ELM | R1-ELM | R2-ELM | G-ELM |
| D1 | 0.8903(0.0027) | 0.8593(0.0149) | 0.8815(0.0176) | 0.9389(0.0012) | 0.9178(0.0041) | 0.9489(0.0011) | D2 | 0.8744(0.0033) | 0.8513(0.0150) | 0.8574(0.0139) | 0.9333(0.0021) | 0.9207(0.0025) | 0.9533(0.0023) | D3 | 0.8867(0.0056) | 0.8472(0.0108) | 0.8513(0.0125) | 0.9067(0.0028) | 0.8989(0.0022) | 0.9511(0.0011) | D4 | 0.8633(0.0052) | 0.8593(0.0153) | 0.8452(0.0179) | 0.9167(0.0019) | 0.8989(0.0024) | 0.9433(0.0024) | D5 | 0.7475(0.0081) | 0.8594(0.0144) | 0.8674(0.0229) | 0.8917(0.0034) | 0.7625(0.0058) | 0.9383(0.0035) | D6 | 0.8325(0.0097) | 0.8712(0.0167) | 0.8657(0.0201) | 0.9217(0.0031) | 0.8258(0.0109) | 0.9425(0.0028) | D7 | 0.8783(0.0035) | 0.8774(0.0192) | 0.8681(0.0088) | 0.9283(0.0020) | 0.9158(0.0023) | 0.9550(0.0018) | D8 | 0.9042(0.0045) | 0.8519(0.0166) | 0.8625(0.0128) | 0.9225(0.0036) | 0.9125(0.0036) | 0.9533(0.0018) | D9 | 0.9102(0.0041) | 0.8675(0.0151) | 0.8658(0.0127) | 0.9180(0.0039) | 0.8880(0.0029) | 0.9480(0.0033) | Ave | 0.8653 | 0.8605 | 0.8628 | 0.9198 | 0.8823 | 0.9482 | Ave. std | 0.0052 | 0.0153 | 0.0155 | 0.0027 | 0.0041 | 0.0022 |
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