Research Article

Linear Twin Quadratic Surface Support Vector Regression

Table 1

Results of Ridge Regression (RR), Linear Regression (LR), nu-SVR, ϵ-SVR, LSSVR, TSVR, LTSVR, and LTQSSVR on benchmark data sets with RBF kernel.

NoiseAlgRMSEMAESSE/SSTSSR/SSTTime (s)cϵσ

Type 1RR0.3102±0.01150.1804±0.00661.1385±0.01630.1389 ± 0.01620.0434
LR0.3106 ± 0.01150.1805 ± 0.00661.1410 ± 0.01700.1410 ± 0.01700.0004
nu-SVR635.0782 ± 2.0081e + 03257.3113 ± 813.52554.7260e + 07 ± 1.4945e + 084.7260e + 07 ± 1.4945e + 0847.0139220.0012–1
ϵ-SVR158.5021 ± 350.971291.1181 ± 197.10211.6476e + 06 ± 3.9456e + 061.6476e + 06 ± 3.9456e + 0628.7549220.0012–1
LSSVR0.6531 ± 0.01550.5141 ± 0.01444.5383 ± 0.48654.3325 ± 0.5131830.3177252–1
TSVR0.6544 ± 0.02700.5314 ± 0.01764.3852 ± 0.46774.2048 ± 0.48782024.74312–40.0012–1
LTSVR0.5870 ± 0.03720.4839 ± 0.02473.7994 ± 0.28713.8503 ± 0.135126531.2220.0122
LTQSSVR0.3961 ± 0.01870.2851 ± 0.02391.7631 ± 0.19970.3917±0.145196.39072–10.01

Type 2RR0.3432±0.01020.2034±0.00651.1693±0.01680.1695 ± 0.01720.0027
LR0.3434 ± 0.01100.2034 ± 0.00751.1705 ± 0.02220.1705 ± 0.02220.0024
nu-SVR588.4 ± 186.1140.7 ± 444.73.4195e + 07 ± 1.0814e + 083.4196e + 07 ± 1.0814e + 0853.98772–20.00120
ϵ-SVR107.6 ± 238.987.9 ± 193.46.4387e + 05 ± 1.6125e + 066.4345e + 05 ± 1.6114e + 0643.94942–20.00120
LSSVR0.6406 ± 0.02570.5193 ± 0.02334.3594 ± 0.42864.0586 ± 0.3830959.2185202–2
TSVR0.6338 ± 0.03970.5123 ± 0.03214.1191 ± 0.61383.7309 ± 0.58285657.14162–40.220
LTSVR0.6988 ± 0.15730.5541 ± 0.11624.8817 ± 1.53825.0229 ± 1.97084583.98752–20.00124
LTQSSVR0.3979 ± 0.03210.2817 ± 0.02251.7730 ± 0.20540.3920±0.157493.65752–10.01

Type 3RR0.3431 ± 0.01020.2033 ± 0.00681.1688 ± 0.01710.1690 ± 0.01750.0038
LR0.3431 ± 0.01070.2033 ± 0.00721.1688 ± 0.01900.1688 ± 0.01900.0003
nu-SVR165.9 ± 524.493.1 ± 293.72.8467e + 06 ± 9.0020e + 062.8464e + 06 ± 9.0012e + 0626531.2230.0012–1
ϵ-SVR0.1545±0.00150.1536±0.00170.2373±0.01301.2355±0.017630.5638200.00120
LSSVR0.6531 ± 0.01550.5141 ± 0.01444.5383 ± 0.48654.3325 ± 0.51311200.9825252–1
TSVR0.6273 ± 0.00620.4944 ± 0.00944.0209 ± 0.01783.6071 ± 0.02312887.81952–40.120
LTSVR0.6852 ± 0.03270.5311 ± 0.03015.4208 ± 1.16465.4496 ± 1.31234735.0025220.00122
LTQSSVR0.3935 ± 0.01600.3310 ± 0.01481.7354 ± 0.12790.4470 ± 0.0608100.11742–20.01

Type 4RR0.3431 ± 0.01030.2033 ± 0.00711.1687 ± 0.01740.1687 ± 0.01750.0037
LR0.3431 ± 0.01040.2033 ± 0.00701.1687 ± 0.01830.1687 ± 0.01830.0003
nu-SVR542.5 ± 1429.7235.1 ± 571.12.1116e + 07 ± 6.3937e + 072.1115e + 07 ± 6.3936e + 0726531.2230.0012–1
ϵ-SVR0.0811±0.00700.0769±0.00700.0658±0.01190.9687±0.01499.4324230.0012–1
LSSVR0.6531 ± 0.01550.5141 ± 0.01444.5383 ± 0.48654.3325 ± 0.51311200.9825252–1
LSSVR0.6442 ± 0.01730.5121 ± 0.01424.4135 ± 0.45014.2044 ± 0.483312.1205232–2
TSVR0.6064 ± 0.00990.4784 ± 0.00603.7604 ± 0.21373.2961 ± 0.2944737.71782–40.220
LTSVR0.6426 ± 0.04810.5 ± 0.01404.1282 ± 0.34094.0077 ± 0.37129533.4572220.012–2
LTQSSVR0.3781 ± 0.02570.2980 ± 0.02981.6028 ± 0.17090.3151 ± 0.1171113.27872–10.01