The red points in Figure 3 mark models that are optimal: no model of lower error at the same level of complexity, no model of lower complexity with the same error. In AI, low complexity is important for explainability of results.
The obtained variable combinations that are shown in Figure 4. The genetic algorithm started evolving models from a variable list of 500, and found only a handful of persistent variable combinations across models.