Table 2.

Predictive performance of TMVR in-hospital mortality models by number of variables.^*

Number of variables	Random Forest	Naїve Bayes	Artificial Neural Network	Logistic Regression	Support-Vector Machine
5	0.50 (0.49–0.50)	0.57 (0.53–0.59)	0.50 (0.49–0.51)	0.57 (0.43–0.71)	0.57 (0.43–0.71)
10	0.82 (0.79–0.86)	0.78 (0.75–0.81)	0.81 (0.77–0.84)	0.82 (0.79–0.86)	0.81 (0.77–0.84)
15	0.67 (0.47–0.87)	0.83 (0.80–0.86)	0.73 (0.55–0.91)	0.77 (0.58–0.95)	0.67 (0.47–0.87)
20	0.61 (0.41–0.81)	0.74 (0.60–0.88)	0.74 (0.56–0.92)	0.71 (0.51–0.91)	0.61 (0.41–0.81)
25	0.47 (0.33–0.62)	0.72 (0.58–0.87)	0.71 (0.51–0.91)	0.71 (0.51–0.91)	0.63 (0.43–0.83)
30	0.65 (0.45–0.85)	0. 68 (0.49–0.86)	0.72 (0.52–0.92)	0.71 (0.51–0.91)	0.65 (0.45–0.85)

^*Data are presented as AUC (95% Confidence Interval)