Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines

Table 10

Mean Absolute Error (MAE), Relative Reduction Error (RErRed) and their Averages (AvgAbsEr, AvgRErRed, resp.), and Standard Deviation (STD) of all Algorithms.

Dataset	Measure	AELME	DELM	DSELME	EnELM	Adaboost	Bagging
Iris	MAE
	RErRed (%)
	STD
Climate	MAE
	RErRed (%)
	STD
Credit	MAE
	RErRed (%)
	STD
Wave	MAE
	RErRed (%)
	STD
Satellite	MAE
	RErRed (%)
	STD
Firm	MAE
	RErRed (%)
	STD
Letter	MAE
	RErRed (%)
	STD
Colon	MAE
	RErRed (%)
	STD
Liver	MAE
	RErRed (%)
	STD
Vowel	MAE
	RErRed (%)
	STD
	AvgAbsEr
	AvgRErRed