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Table 1 Assess results for each model with different validation methods

From: Matrix factorization with neural network for predicting circRNA-RBP interactions

Validation methods

Methods

Sn

Sp

Pr

Acc

MCC

10 times CV-10

MFNN

0.7905

0.9050

0.8928

0.8477

0.7003

GMF

0.7262

0.9054

0.8849

0.8158

0.6422

MLP

0.7149

0.8151

0.7951

0.7650

0.5333

NeuMF

0.7327

0.9019

0.8821

0.8173

0.6441

10 times CV-5

MFNN

0.7905

0.9027

0.8906

0.8466

0.6978

GMF

0.7209

0.9031

0.8816

0.8120

0.6347

MLP

0.6968

0.8142

0.7899

0.7555

0.5150

NeuMF

0.7262

0.9002

0.8795

0.8132

0.6364