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. 2021 Oct 2;10(19):4576. doi: 10.3390/jcm10194576

Table 6.

Machine learning and logistic regression results analyzing the demyelinated type vs. mixed type.

Model AUC Accuracy (%) Sensitivity Specificity
XGB 0.5492 62.39 0.8329 0.1797
SVM 0.5105 68.15 1.0000 0.0000
RF 0.5426 64.25 0.9245 0.0436
XGB + SVM 0.5698 67.78 0.9947 0.0000
XGB + RF 0.5579 64.52 0.9317 0.0378
SVM + RF 0.5457 67.41 0.9889 0.0000
XGB + RF + SVM 0.5601 67.41 0.9897 0.0000
Logistic regression 0.6350 70.97 0.8812 0.3889

Abbreviations: AUC = area under the curve; XGB = XGBoost; RF = random forest; SVM = support vector machine.