However, given the remarkable performance of the obtained catalysts, it is more reasonable to acknowledge the essentiality of these multi-element compositions. Figure shows the temperature dependence of the EtOH conversion and the product yields for the top 20 catalysts at the 𝑃 !"#$ /𝑃 %& ratio of 0.09. The temperature dependence was observed to be quite consistent among the catalysts: Increasing the temperature significantly promoted the EtOH conversion, exceeding 85% at 400 °C. At lower temperatures, the primary product formed was AcH, with its yield increasing slightly along with the EtOH conversion at higher temperatures before dropping at even higher temperatures mainly due to the BD formation. The BD yield increased substantially up to 400 °C but decreased at the highest temperature due to byproduct formation such as ethylene and its oligomer. Indeed, the ethylene yield increased exponentially with increasing the temperature. These observations suggest that an ideal ETB catalyst can efficiently transform AcH into BD while minimizing residual AcH and inhibiting the ethylene formation. At higher EtOH concentration ( 𝑃 !"#$ /𝑃 %& = 0.18), the temperature dependence was similar. However, to convert a larger quantity of AcH into BD, higher temperatures or longer contact times were required (Figure ). Through GA, a relatively large and consistent catalyst dataset was obtained. This dataset was used to apply various regression methods, with the loading amounts of the individual elements as the explanatory variables and the BD yield as the target variable. The objective was to gain insights into the role of each element in the overall catalysis. After assessing various regression methods at their optimal hyperparameter sets in CV, XGBoost emerged as the most viable option, yielding 𝑟 "&6,2