A Robust AdaBoost.RT Based Ensemble Extreme Learning Machine

Table 3

Parameters of RAE-ELM and other learning algorithms.

Datasets	RAE ELM	Basic ELM [4]	Original AdaELM [30]	Modified AdaELM [31]	SVR [36]	LS SVR [37]
	()	()	()	()	()	()
LVST	(2^13, 960)	(2^5, 710)	(2^−7, 530, 0.3)	(2^−7, 460, 0.35)	(2^17, 2^2)	(2^8, 2^0)
Yeast	(2^10, 540)	(2^1, 340)	(2^5, 710, 0.25)	(2^−1, 800, 0.2)	(2^−7, 2^0)	(2^−9, 2^3)
Computer hardware	(2^−4, 160)	(2^11, 530)	(2^16, 240, 0.35)	(2^10, 170, 0.25)	(2^−9, 2^21)	(2^0, 2^6)
Abalone	(2^0, 150)	(2^0, 200)	(2^−22, 330, 0.2)	(2^6, 610, 0.15)	(2^3, 2^18)	(2^1, 2^14)
Servo	(2^1, 340)	(2^−6, 650)	(2^0, 110, 0.3)	(2^9, 230, 0.2)	(2^−2, 2^2)	(2^4, 2^−3)
Parkinson disease	(2^9, 830)	(2^−8, 460)	(2^4, 370, 0.35)	(2^−4, 590, 0.25)	(2^1, 2^0)	(2^1, 2^7)
Housing	(2^−19, 270)	(2^−9, 310)	(2^−1, 440, 0.25)	(2^17, 220, 0.2)	(2^21, 2^−4)	(2^3, 2^12)
Cloud	(2^−5, 590)	(2^13, 880)	(2^0, 1000, 0.2)	(2^2, 760, 0.25)	(2^7, 2^5)	(2^4, 2^−11)
Auto price	(2^20, 310)	(2^17, 430)	(2^−2, 230, 0.35)	(2^−5, 270, 0.35)	(2^3, 2^23)	(2^7, 2^−10)
Breast cancer	(2^−3, 80)	(2^−1, 160)	(2^−6, 90, 0.15)	(2^13, 290, 0.25)	(2^6, 2^1)	(2^6, 2^17)
Balloon	(2^22, 160)	(2^16, 190)	(2^13, 250, 0.2)	(2^17, 210, 0.2)	(2^1, 2^8)	(2^0, 2^−7)
Auto-MPG	(2^7, 630)	(2^−10, 820)	(2^21, 380, 0.35)	(2^11, 680, 0.3)	(2^−2, 2^−1)	(2^1, 2^5)
Bank	(2^−1, 660)	(2^0, 590)	(2^2, 710, 0.3)	(2^−9, 450, 0.15)	(2^10, 2^−4)	(2^21, 2^−5)
Census (house8L)	(2^3, 580)	(2^5, 460)	(2^1, 190, 0.3)	(2^3, 600, 0.25)	(2^5, 2^−6)	(2^0, 2^−4)