Fig. 7From: Big data hurdles in precision medicine and precision public healthDomain-guided and complexity-guided model selection. a Hypothetical data set with two domains and their merged domain, on which models of increasing complexity (linear regression, decision tree, and deep learner) are fit and compared. For example, using the receiver-operating characteristic, (b) the predictive performance of a prime model can be assessed using a single domain or merged domains, or (c) different models can be compared within the same domain spaceBack to article page