Data driven techniques are increasing in popularity due to their ability to arrive to accurate and reliable interpolation results. However, these types of techniques require big and reliable datasets to do so. In addition, obtaining these extensive datasets experimentally, is not a trivial task. As an alternative, utilizing datasets coming from validated and robust PBMs, would enable the use of ML algorithms.