Fig. 5From: A dropout-regularized classifier development approach optimized for precision medicine test discovery from omics dataResults are shown for the classifier trained on the problem confounded by tumor histology for differentiation of subjects with NSCLC surviving at least four years post-surgery from those dying before four years. The ROC curves correspond to the case when no additional filtering constraint is applied using data from patients with non-squamous histology with insufficient follow upBack to article page