[Retracted] Implementation of Machine Learning Models for the Prevention of Kidney Diseases (CKD) or Their Derivatives

Table 3

Performance comparison between models.

	Multiclass red neuronal	Decision forest multiclass	Multiclass logistic regression	Multiclass jungle of decisions
General accuracy	0.784	0.831	0.773	0.835
Medium accuracy	0.892	0.887	0.886	0.890
Micro-precision averaged	0.784	0.831	0.773	0.835
Macro-accuracy averaged	0.446	0.691	0.374	0.817
Micro-sensitivity averaged	0.784	0.831	0.773	0.835
Macro-sensitivity averaged	NA	0.617	NA	0.537
Artificial neural networks matrix
Current class		3	4	5
	3	0.971	0	0.029
	4	0.972	0.001	0.028
	5	0.829	0	0.17
Decision forest matrix
Current class		3	4	5
	3	0.939	0.033	0.027
	4	0.494	0.417	0.089
	5	0.406	0.1	0.494
	Logistic regression matrix
Current class		3	4	5
	3	0.94	0.014	0.046
	4	0.799	0.121	0.08
	5	0.595	0.035	0.37
Jungle matrix of decisions
Current class		3	4	5
	3	0.987	0	0.013
	4	0.778	0.153	0.069
	5	0.507	0.023	0.471