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Table 3 LOOCV test results of LDNFSGB on LncRNADisease using different classifiers

From: LDNFSGB: prediction of long non-coding rna and disease association using network feature similarity and gradient boosting

Classifier

Acc

Sen

Spe

Pre

MCC

SVM

0.6252

0.8011

0.4492

0.5926

0.2675

Naïve Bayes

0.5834

0.8572

0.3099

0.5540

0.1997

Logistic Regression

0.7101

0.7053

0.7150

0.7122

0.4204

Random Forest

0.8798

0.8787

0.8810

0.8807

0.7597

Rotation Forest

0.8878

0.9087

0.8668

0.8722

0.7763

Ada Boosting

0.8719

0.9093

0.8345

0.8460

0.7459

DELM

0.7968

0.8572

0.7365

0.7649

0.5981

Gradient Boosting

0.8975

0.9257

0.8657

0.8733

0.7929