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Fig. 4 | Cancer Imaging

Fig. 4

From: The practical clinical role of machine learning models with different algorithms in predicting prostate cancer local recurrence after radical prostatectomy

Fig. 4

The comparison of the predictive performances of radiomics models using three different machine learning algorithms in predicting PCa local recurrence in the training and testing sets. SVM = support vector machine; LDA = linear discriminant analysis; LR-LASSO = logistic regression-least absolute shrinkage and selection operator; AUC = area under the curve

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Cancer Imaging

ISSN: 1470-7330

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