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Fig. 3 | BMC Bioinformatics

Fig. 3

From: GENTLE: a novel bioinformatics tool for generating features and building classifiers from T cell repertoire cancer data

Fig. 3

AC Stratified validation using threefold and 100 repeats of the classifiers trained with the TConvs dataset where A is the Gaussian Naive Bayes, B is the Linear Discriminant Analysis and C are Linear Regression and Decision Tree classifiers. D Confusion matrix of the model trained with the TConvs dataset (train) and validated with the TRegs dataset (test). E Stratified validation using threefold and 100 repeats of the Decision Tree classifier trained with the TRegs dataset. F Confusion matrix of the model trained with the TRegs dataset (train) and validated with the TConvs dataset (test)

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