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  Indian J Med Microbiol
 

Figure 2: ROC curve of the nomogram for success rate prediction model. The solid line represents the ability of the prediction model discriminating the actual successful sperm retrieval patients from the failed ones. More closer to the (0,1) means a better performance for the curve. AUC for ROC curve is 0.907 (95% CI: 0.887–0.926). ROC: receiving operating characteristic; AUC: area under curve; CI: confidence interval; Micro-TESE: microdissection testicular sperm extraction.

Figure 2: ROC curve of the nomogram for success rate prediction model. The solid line represents the ability of the prediction model discriminating the actual successful sperm retrieval patients from the failed ones. More closer to the (0,1) means a better performance for the curve. AUC for ROC curve is 0.907 (95% CI: 0.887–0.926). ROC: receiving operating characteristic; AUC: area under curve; CI: confidence interval; Micro-TESE: microdissection testicular sperm extraction.