Table 4 Average evaluation metrics from ten runs of ML models

K-NN

Mean

0.738

0.718

0.796

0.74

0.784

95% CI

(0.72, 0.75)

(0.69, 0.72)

(0.78, 0.81)

(0.72, 0.76)

(0.78, 0.79)

STD

0.0314

0.014

0.021

0.0381

0.014

XGB

Mean

0.88

0.841

0.87

0.835

0.89

95% CI^a

(0.87, 0.89)

(0.83, 0.85)

(0.85, 0.89)

(0.83, 0.84)

(0.87, 0.9)

STD^a

0.03

0.027

0.029

0.001

0.014