Research Article

New Dandelion Algorithm Optimizes Extreme Learning Machine for Biomedical Classification Problems

Table 5

Results comparisons for biomedical classification.

DatasetsAlgorithms Training Testing
Rate (%)DevRate (%)Dev

EEGDA-ELM69.780.005270.220.0062
ELM63.510.016763.740.0139
PSO-ELM69.640.006970.060.0064
BA-ELM68.190.009868.790.0078
EFWA-ELM68.760.006868.820.0072

BloodDA-ELM79.810.014081.680.0133
ELM80.640.016278.640.0133
PSO-ELM80.830.013180.400.0141
BA-ELM79.970.017480.160.0159
EFWA-ELM80.700.017579.390.0154

StatlogDA-ELM86.220.021688.150.0175
ELM87.110.028680.520.0268
PSO-ELM86.740.028588.070.0228
BA-ELM84.960.025787.260.0167
EFWA-ELM87.110.026486.370.0177

SPECTDA-ELM81.350.025585.220.0243
ELM80.680.031380.750.0245
PSO-ELM81.950.027185.000.0370
BA-ELM80.000.028684.250.0250
EFWA-ELM80.980.029284.330.0354