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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