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Table 4 10-fold CV 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 0.6218 0.8068 0.4368 0.5890 0.2625
Naïve Bayes 0.5824 0.8572 0.3076 0.5533 0.1970
Logistic Regression 0.7028 0.6940 0.7116 0.7069 0.4061
Random Forest 0.8816 0.8838 0.8794 0.8813 0.7641
Rotation Forest 0.8784 0.9127 0.8442 0.8574 0.7592
Ada Boosting 0.8677 0.9042 0.8312 0.843 0.7376
DELM 0.7932 0.8606 0.7258 0.7598 0.5925
Gradient Boosting 0.8946 0.9240 0.8652 0.8736 0.7913