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A good prediction model isn’t necessarily a good causal model. You could be missing a key variable in your dataset that is driving the underlying behavior so you end up with a good predictive model but not the correct explanation as to why things behave that way. Taking a causal approach is a tougher problem and needs an understanding of whether we have access to the right variables or we are making the right link between variables and an outcome. Causal regularisation is a method that uses mach...