14239805875_d25785a6f8A recent article in Medical Xpress reports, “Machine learning has been improved by Dr Thomas Wilhelm of the Institute of Food Research, which is strategically funded by the Biotechnology and Biological Sciences Research Council. Instead of developing one model from the training data, his technique involves developing hundreds of diverse models, and applying these to independent, unseen data, and seeing which models work best in their ability to predict outcomes. This avoids ‘overfitting’ of a model to a specific training data set. The new technique can be applied to many different situations, but Dr Wilhelm applied it to epigenetic data on cervical cancer.” Read more