Table 2 Optimized parameters of GA selected as variable selection procedure to enhance the models' predictability
Parameters | Optimum values | |
|---|---|---|
MLK | LCZ | |
Population size | 40 | 36 |
Maximum generations | 65 | 52 |
Mutation rate | 0.005 | 0.005 |
% wavelength used at the initiation | 15 | 15 |
The number of variables in a window (window width) | 2 | 2 |
Percent of the population (% of convergence) | 80 | 80 |
Cross-type | Double | Double |
Maximum number of latent variables | 3 | 3 |
Cross-validation | Random | Random |
Number of subsets to divide data into for cross-validation | 5 | 5 |
Number of iterations for cross-validation at each generation | 2 | 2 |