Table 8 Comparison of model accuracy and improvement.

From: An intelligent ensemble machine learning model for early detection of chronic kidney disease in aging populations

Model

Accuracy (%)

Improvement (%)

Reference

Ensemble model (Proposed)

97.71

0.00

This study

Bagging ensemble

95.00

2.85

29

Convolutional model

71.00

37.62

30

Neural network classifier

95.00

2.85

31

Logistic regression

93.00

5.06

32

Convolutional neural networks

95.70

2.10

33

XGBoost

95.80

1.99

34

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