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Fig. 2 | Molecular Cancer

Fig. 2

From: Prediction of chemo-response in serous ovarian cancer

Fig. 2

Area under the ROC curve (AUC) for the 422-gene prediction models. a Box plot representations of the AUC for the complete model by different methods. RF: Random forest; Lasso (least absolute shrinkage and selection operator); Elastic Net; PAM: Prediction analysis for microarrays; DDA: Diagonal discriminant analysis; PLS-LR: Partial least squares - Logistic regression; PLR: Penalized logistic regression; PLS: Partial least squares; PLS-RF: Partial least squares - Random forest. b Prediction performance measured in AUC, with their respective standard error, and confidence intervals (CI) by different methods using all 422 genes. PAM: Prediction analysis for microarrays; PLS: Partial least squares; Lasso: least absolute shrinkage and selection operator

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