Figure 7.

A boxplot illustration of the mean performance of various machine learning algorithms using five-fold CV in the training dataset to predict malignant and benign breast lesions. The AUROC was used as the classification metric. XGBoost, SGD, LDA, AdaBoost, RF, and linear SVM. CV, cross-validation; AUROC, area under the receiver operating characteristic curve; XGBoost, extreme gradient boosting; SGD, stochastic gradient descent; LDA, linear discriminant analysis; AdaBoost, adaptive boosting; RF, random forest; SVM, support vector machine.