Research Article
Recognition of Imbalanced Epileptic EEG Signals by a Graph-Based Extreme Learning Machine
Table 7
Results of all methods on the
_means index.
| Datasets | ELM | W1-ELM | W2-ELM | R1-ELM | R2-ELM | G-ELM |
| D1 | 0.8471(0.0040) | 0.8242(0.0102) | 0.8516(0.0174) | 0.9150(0.0012) | 0.9122(0.0033) | 0.9458(0.0012) | D2 | 0.8286(0.0047) | 0.8318(0.0197) | 0.8402(0.0125) | 0.9092(0.0016) | 0.9057(0.0023) | 0.9399(0.0014) | D3 | 0.8738(0.0055) | 0.8213(0.0105) | 0.8253(0.0120) | 0.9106(0.0025) | 0.9046(0.0022) | 0.9516(0.0015) | D4 | 0.8417(0.0041) | 0.8010(0.0108) | 0.8201(0.0182) | 0.9059(0.0011) | 0.8948(0.0024) | 0.9372(0.0016) | D5 | 0.7352(0.0055) | 0.8270(0.0081) | 0.8188(0.0147) | 0.8570(0.0022) | 0.7909(0.0038) | 0.9069(0.0025) | D6 | 0.7757(0.0074) | 0.8496(0.0169) | 0.8346(0.0147) | 0.8901(0.0028) | 0.8326(0.0073) | 0.9203(0.0004) | D7 | 0.8265(0.0046) | 0.8518(0.0179) | 0.8151(0.0073) | 0.9043(0.0016) | 0.9069(0.0022) | 0.9334(0.0009) | D8 | 0.8532(0.0037) | 0.8203(0.0178) | 0.8459(0.0134) | 0.9123(0.0025) | 0.9091(0.0023) | 0.9442(0.0007) | D9 | 0.8154(0.0071) | 0.8452(0.0124) | 0.8048(0.0069) | 0.8927(0.0025) | 0.8796(0.0020) | 0.9253(0.0009) | Ave | 0.8219 | 0.8303 | 0.8285 | 0.8997 | 0.8818 | 0.9338 | Ave. std | 0.0052 | 0.0138 | 0.0130 | 0.0020 | 0.0031 | 0.0012 |
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