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. 2021 Feb 4;24(2):164–172. doi: 10.1007/s10047-020-01243-3

Table 3.

Performance of machine-learning algorithms to detect significant aortic regurgitation

Classifier Accuracy Area-under-the-curve True positive rate True negative rate
Ensemble 0.91 0.73 0.75 0.92
Random forest 0.91 0.72 0.71 0.91
k-nearest neighbor 0.89 0.55 0.00 0.89
Support vector machine 0.89 0.50 0.11 0.00
Kernel support vector machine 0.89 0.50 0.11 0.00
Naïve Bayes 0.89 0.73 0.50 0.90
Karnel naïve Bayes 0.89 0.73 0.50 0.90
Decision tree 0.89 0.76 0.50 0.94