Skip to main content

Table 3 F1-score of CFNBC, SIMCLDA, NBCLDA, Yang et al.’s method at different top-k cutoffs

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

Methods F1-Score
CFNBC 0.1685(k = 15) 0.1582(k = 20) 0.1422(k = 25)
SIMCLDA 0.1577(k = 15) 0.1482(k = 20) 0.1422(k = 25)
CFNBC 0.1101(k = 20) 0.1179(k = 30) 0.1079(k = 40)
NBCLDA 0.0876(k = 20) 0.0823(k = 30) 0.0875(k = 40)
CFNBC 0.2987(k = 20) 0.2778(k = 30) 0.2844(k = 40)
Yang et al.’s method 0.2678(k = 20) 0.2821(k = 30) 0.2844(k = 40)