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Table 5 Average evaluation metrics obtained from ten runs of ML models

From: Prediction the prognosis of the poisoned patients undergoing hemodialysis using machine learning algorithms

Classifier

 

Mean Accuracy

Mean Specificity (%)

Mean Sensitivity

Mean F- measure

ROC Rate

AdaBoost

Mean

0.89

0.86

0.91

0.91

0.927

95% CIa

(0.89, 0.91)

(0.85, 0.87)

(0.89, 0.93)

(0.87, 0.93)

(0.91, 0.92)

STDa

0.002

0.0014

0.002

0.004

0.0018

HGB

Mean

0.948

0.935

0.94

0.892

0.92

95% CI

(0.93, 0.96)

(0.92, 0.94)

(0. 93, 0.96)

(0.88, 0. 91)

(0.91, 0.93)

STD

0.029

0.003

0.0125

0.019

0.010

  1. aCI Confidence interval, STD Standard deviation