Table 5 Key parameters of the Genetic Algorithm.
From: Boosting skin cancer diagnosis accuracy with ensemble approach
Parameter | Value |
|---|---|
Population Size | 50 chromosomes |
Fitness Function | Random Forest |
Selection Method | Tournament Selection with size of 5 |
Crossover Rate | 0.8 |
Mutation Rate | Bit flip mutation rate of 0.02 |
Termination Condition | Early stop if accuracy exceeds 96% |
