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Fig. 5 | BMC Bioinformatics

Fig. 5

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

Fig. 5

a Accuracies of the Elastic Net in terms of aucROC with respect to regularization parameter α. It is seen that the accuracies are decreased with increase in the value of α. Irrespective of the localization, the highest accuracy is obtained with α = 0.1, out of 10 different values of α (0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1). b Trend in accuracy for Elastic Net with respect to λ. It is seen that the optimum value of λ is different for different localizations. Except posterior, the optimum value of λ is less than 1 for the remaining localizations

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BMC Bioinformatics

ISSN: 1471-2105

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