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Fig. 1 | BMC Genetics

Fig. 1

From: funbarRF: DNA barcode-based fungal species prediction using multiclass Random Forest supervised learning model

Fig. 1

(a) Diagrammatic representation of ITS region of rDNA that includes ITS1 and ITS2 separated by 5.8s gene. (b) Venn diagram showing the number of sequences of this work present in other databases. c Diagrammatic representation of the computation of gapped base pair features of di-nucleotide AA. d Flow diagram showing the steps of training and testing involved in prediction using RF classifier. During training, tree-based classifiers are constructed on bootstrap samples of the training dataset, whereas in testing the test instance is dropped in every constructed classifier for predicting its label based on majority voting scheme

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