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. 2021 Feb 3;11:2913. doi: 10.1038/s41598-021-82467-y

Figure 1.

Figure 1

Heatmap depicting the diagnostic performance (AUCs) of combinations of feature selection methods, classifiers, and combination of sequences in the training set. AUC area under the curve, KNN k-nearest neighbors, MI mutual information, LASSO least absolute shrinkage and selection operator, SMOTE synthetic minority over-sampling technique, SVM support vector machine, T1C postcontrast T1WI, T2 T2WI. The best performing model in each combination of MRI sequence and mask are marked in asterisks (*).