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Figure 6 | BMC Cancer

Figure 6

From: Do serum biomarkers really measure breast cancer?

Figure 6

ROC and accuracy curves for linear models with four feature selection techniques. 1) Preselected: the features (using all the data to choose the best features, and then running the model using only those preselected features in LOOCV), 2) BMA: iterated Bayesian model averaging, 3) Stepwise feature selection, and 4) All features: using all the proteins in the model, no feature selection.

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