experimentation (HTE). With the HTE data and 105 descriptors, a multi-label prediction was performed with AutoGluon (an open-source auto machinelearning framework) and KNIME (an open-source data analytics platform). For the independent test of 240 reactions (a full matrix of 20 unseen alcohols and 12 conditions), AutoGluon with multi-label prediction for yieldprediction (AGMP) gave excellent performance