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Table 1 Performance measures for knowledge-slanted RF and RF algorithms using the optimal model parameters

From: Biological knowledge-slanted random forest approach for the classification of calcified aortic valve stenosis

   Three Categories Two Categories
  CAVS Slanted-RF RF Slanted-RF RF
Sensitivity BAV 50.00% 50.00% 100% 100%
TAV 33.33% 0.00%
Specificity BAV 64.70% 47.06% 75.00% 75.00%
TAV 72.22% 66.67%
Accuracy ALL 59.26% 40.74% 92.59% 92.59%
AUC BAV 0.671 0.589 1.000 1.000
TAV 0.623 0.451
  1. CAVS: Calcific aortic valve stenosis; BAV: Bicuspid aortic valve, TAV: Tricuspid aortic valve; RF: Random forest; AUC: Area under the curve