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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)