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