Robust Proximal Support Vector Regression Based on Maximum Correntropy Criterion

Table 6

The average ranks of these algorithms on benchmark datasets without outliers.

Algorithm	RMSE	MAE	SSE/SST	SSR/SST
LSSVR	4.75	5.05	4.85	2.4
PSVR	4.15	4.6	4.15	3.1
WLSSVR-H	3.9	3.4	3.5	3.9
WLSSVR-L	4.2	2.95	4.4	3.5
RLSSVR-MCC	2.4	2.75	2.2	4.05
RPSVR-MCC	1.6	2.25	1.9	4.05