An Incremental Optimal Weight Learning Machine of Single-Layer Neural Networks

Table 1

Details of the data sets used for regression and classification.

Data sets	Classes	Attributes	Types	of pieces of training data	of pieces of testing; data
Delta Ailerons	—	6	Regression	3000	4129
Delta Elevators	—	6	Regression	4517	5000
California Housing	—	8	Regression	8000	12,460
Computer activity	—	8	Regression	4000	4192
Bank domains	—	8	Regression	4500	3692
COLL20	20	1024	Classification	1080	360
G50C	2	50	Classification	414	136
USPST(B)	2	256	Classification	1509	498
Satimage	6	36	Classification	3217	3218