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Fig. 8 | BMC Bioinformatics

Fig. 8

From: mLoc-mRNA: predicting multiple sub-cellular localization of mRNAs using random forest algorithm coupled with feature selection via elastic net

Fig. 8

Circular bar plots of the performance metrics of RF, Bagging and Boosting algorithms. The accuracy and MCC of the RF are higher in five localizations (cytosol, exosome, nucleus, posterior, ribosome), whereas the Boosting algorithm performed better in the remaining four localizations (cytoplasm, endoplasmic reticulum, mitochondrion, pseudopodium). The Bagging classifier achieved the lowest accuracy and MCC than that of RF and Boosting classifiers

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