It is important to note that the accuracy of the model depends on many factors coming from different data sources. Firstly, on the quality and size of the training set; secondly on the choice of descriptors and thirdly on the choice of machine learning algorithm and optimization parameters. Therefore, it is crucial to carefully evaluate the performances of the model using multiple and appropriate metrics and cross-validation techniques before applying it to predictions.