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. 2016 Nov 11;12(11):e1005195. doi: 10.1371/journal.pcbi.1005195

Fig 9. Effect of model sparsity on the prediction performance of L1 regularized logistic regression classifier using individual SNPs vs. NetPocos.

Fig 9

The x axis shows λ, which is the coefficient of penalty function in L1 regularized logistic regression, and y axis shows the cross-validation performance of the model (AUC) across 5 runs.