We explored different settings for active learning for predicting the reaction yield of two combinatorially generated datasets. The model used for prediction and the number of initially labelled points were varied. The goal is to develop a prediction model of a predefined accuracy for binary classification of the reaction yield with the labels "successful" reaction and "unsuccessful" reaction.