We have assessed that a multi-output artificial neural network (ANN) is one of the simplest machine learning models to develop and most accurate for this purpose. In our preliminary analysis, we also assessed single-output ANNs, gaussian process regression, support vector machines, gradient-boosted trees, and random forests. But, we found that these were all outperformed by the multi-output ANN.