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By leveraging a connection to the optimal scoring problem, we bypass minimizing complex objective functions directly and recast the problem into a penalized regression framework. The proposed formulation leads to an efficient model. The classifier achieved adequate prediction performance on the challenging diffusion MRI dataset. Simulation studies showed that the univariate classifier achieves satisfactory performance compared to existing methods. 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