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. 2021 Jun 2;5:46. doi: 10.1038/s41698-021-00186-z

Fig. 10. Prediction performance of the pathway-based GC classification method. TCGA-STAD as the training set and ACRG-STAD and GSE84437 as test sets to predict the three subtypes by XGBoost83.

Fig. 10

The prediction accuracies and weighted sensitivity, specificity, and F1-scores in TCGA-STAD (tenfold cross-validation), ACRG-STAD, and GSE84437 are shown.