CHANS Lab researchers depict how machine learning can suffer data leakage

In a new paper in Nature Ecology & Evolution, Andy Stock, Ed Gregr, and Kai Chan demonstrate how many routine applications of machine learning can inadvertently “leak data”, undermining accurate predictions.