Figure. S13. Comparison of the speed of the optimization for the thermoelectric dataset with different surrogate models. Here, the Gaussian Process model parameters have not been optimized. With an alpha value of 2 (similar to that used for the concrete dataset), the GP model can barely outperform random search, whereas a tuned GP model can be the top performer. These results illustrate the importance of proper tuning of the GP parameters.