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Table 5:
Performance of the algorithm selection model on the test set, where is the percentage of instances for which an algorithm is best and % is the model forecast. The remaining columns represent the confusion matrix of the model. In boldface are those values in the diagonal above 90%, which represent excellent model performance, and off the diagonal above 10%, which represent poor model performance.
BIPOP-
Algorithm%BFGSCMA-ESLSstepNelder–DoerrCMA-ES
BFGS 15.6% 15.8% 100.0% 0.0% 2.2% 0.0% 0.0% 
BIPOP-CMA-ES 42.7% 42.3% 0.0% 99.0% 0.0% 0.0% 0.0% 
LSstep 9.4% 9.4% 0.0% 0.0% 97.8% 0.8% 0.0% 
Nelder–Doerr 25.0% 25.2% 0.0% 1.0% 0.0% 99.2% 0.0% 
CMA-ES 7.3% 7.3% 0.0% 0.0% 0.0% 0.0% 100.0% 
BIPOP-
Algorithm%BFGSCMA-ESLSstepNelder–DoerrCMA-ES
BFGS 15.6% 15.8% 100.0% 0.0% 2.2% 0.0% 0.0% 
BIPOP-CMA-ES 42.7% 42.3% 0.0% 99.0% 0.0% 0.0% 0.0% 
LSstep 9.4% 9.4% 0.0% 0.0% 97.8% 0.8% 0.0% 
Nelder–Doerr 25.0% 25.2% 0.0% 1.0% 0.0% 99.2% 0.0% 
CMA-ES 7.3% 7.3% 0.0% 0.0% 0.0% 0.0% 100.0% 
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