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Table 2 Performance comparisons between CFNBC and some state-of-the-art models in terms of AUCs based on the different data sets of known lncRNA-disease association in the framework of the LOOCV

From: A novel collaborative filtering model for LncRNA-disease association prediction based on the Naïve Bayesian classifier

Methods AUCs Methods AUCs
CFNBC 0.8674 CFNBC 0.8576
HGLDA 0.7621 NBCLDA 0.8519
CFNBC 0.8579 CFNBC 0.8915
SIMLDA 0.8526 Yang et al.’s method 0.8568