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Fig. 4 | Radiation Oncology

Fig. 4

From: A non-invasive preoperative prediction model for predicting axillary lymph node metastasis in breast cancer based on a machine learning approach: combining ultrasonographic parameters and breast gamma specific imaging features

Fig. 4

Model selection. (A) The line graph shows the predictive values of each model in test set. (B-G) The relative weights of selected variables in each model. GLM: generalized linear model; RF: random forest; SVM: support vector machine; NNET: neural network; GBM: gradient boosting machine; XGB: extreme boosting machine; RI: resistance index; CDFI: the color Doppler flow imaging grade; TNR: tumour-to-normal lesion ratio; MLO: mediolateral oblique; BSGI: breast specific gamma image; US: Ultrasonography

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Radiation Oncology

ISSN: 1748-717X

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