This is true in any practical machine learning problem and it doesn't cause as much of a problem as theoreticians would have you believe. Having independent var

This is true in any practical machine learning problem and it doesn't cause as much of a problem as theoreticians would have you believe. Having independent variables, or detecting and accounting for all dependencies, will typically lead to a better result. But when there are dependencies it merely degrades accuracy. It does not destroy the accuracy altogether. If you were to try to address every possible independence assumption in practice, you'd never get through a research project, let alone get a real product out the door as this company has done. [Edit: syntax]