The second round of modeling was performed selecting the top 10 variables (in this case, those present more than 30 times, or above 5.4% of models, and 6.6% of models basis sets). Figure 13 shows that error is quite high (above 40% in all cases), and more variable combinations do not make it improve (error remains similar no matter if 2 or 7 variables are used).