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Fig. 6 | BMC Bioinformatics

Fig. 6

From: A dropout-regularized classifier development approach optimized for precision medicine test discovery from omics data

Fig. 6

Performance for differentiation of subjects with NSCLC surviving at least four years post-surgery from those dying before four years is shown as a function of the lower accuracy limit of the additional filtering constraint applied using patients with non-squamous histology with insufficient follow up. First panel: AUC for the development subset and validation set; second panel: difference in AUC between development subset and validation set; third panel: fraction of the 9 subjects with insufficient follow up set aside for testing classified as Alive. The upper accuracy limit of the additional filtering constraint was set to 1.0 in all cases

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