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Table 2 Hold-out 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 0.6189 0.8071 0.4198 0.5955 0.2468
Naïve Bayes 0.5736 0.8429 0.2886 0.5563 0.1585
Logistic Regression 0.7181 0.6997 0.7376 0.7383 0.4373
Random Forest 0.8852 0.8842 0.8862 0.8916 0.7704
Rotation Forest 0.9022 0.9283 0.8746 0.8868 0.8050
Ada Boosting 0.8824 0.9311 0.8309 0.8535 0.7674
DELM 0.8116 0.8787 0.7405 0.7818 0.6267
Gradient Boosting 0.9138 0.9311 0.8950 0.9037 0.8273