Fig. 11
From: Robust identification of molecular phenotypes using semi-supervised learning
Development sets results for synthetic datasets with ratio of phenotype A:B of 90:30 and α = 1. For each development set realization the IRA was applied. At each refinement iteration, the classifiers were applied to their development set realization and the independent validation set. Concordance of classifier-derived phenotype with true phenotype is shown for (a) the ten development set realizations, and (b) the validation set, for all ten development set realizations as a function of refinement iteration. The difference between the hazard ratio for classifier-derived phenotypes and the hazard ratio for phenotype A vs phenotype B in the development sets, ∆HR, is shown in (c) as a function of refinement iteration. The hazard ratios for classifier-derived phenotypes in the validation set as a function of refinement iteration are shown in (d). The value of the hazard ratio in the validation set for phenotype A vs B (HR = 1.74) is indicated by the dashed line