Identify which (combinations of) parameter values are predictors for a high/low target value (e.g., yield). Identify which parameters an AI model deems important for predicting a high/low target value. (C3) Interaction of parameter values: Sometimes, particular parameter values result in improved performance with regard to an objective (e.g., for a particular reaction, high temperature always gives a better yield)-or vice versa (e.g., low temperature always results in a lower yield). However, typically, parameter values interact with each other and only particular combinations of parameter values give good results, while otherwise, the same values perform badly. For example, low temperature combined with a specific substrate results in a high yield, but it results in a low yield for any other reagent. Determining these correlations is an essential part of understanding the optimization problem and the parameters used.