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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