Deep Network Based on Stacked Orthogonal Convex Incremental ELM Autoencoders

Table 1

Specification of 10 benchmark problems.

Datasets	Training sample	Testing sample	Attributes	Type
Auto MPG	182	165	8	Regression
California Housing	8,800	8,260	8	Regression
Servo	92	60	4	Regression
Concrete Compressive Strength	975	830	9	Regression
Parkinsons	4,780	5,120	26	Regression
Delta Ailerons	5,080	4,600	6	Classification
Waveform II	3,300	2,800	40	Classification
Abalone	3,900	3,670	8	Classification
Breast Cancer	539	490	10	Classification
Energy Efficiency	740	600	8	Classification