Research Article

Linear Twin Quadratic Surface Support Vector Regression

Table 2

Results of Ridge Regression (RR), Linear Regression (LR), nu-SVR, ϵ-SVR, LSSVR, TSVR, LTSVR, and LTQSSVR on quadratic artificial data sets.

Data sets num × feaAlgorithmRMSEMAESSE/SSTSSR/SSTTime (s)cϵσ

AR1
30 × 10
RR556.9348 ± 64.6680472.5440 ± 68.17560.5760 ± 0.35480.7606 ± 0.38990.0037
LR399.4814 ± 100.0622328.3254 ± 88.29980.3022 ± 0.19291.1167 ± 0.47992.0278
nu-SVR864.5692 ± 197.0818673.1263 ± 149.93711.1580 ± 0.21290.1580 ± 0.21290.1191250.00120
ϵ-SVR865.8422 ± 198.0437675.8055 ± 151.80561.1606 ± 0.21090.1606 ± 0.21090.1090250.0012–4
LSSVR634.8957 ± 256.3804520.7602 ± 208.01420.5531 ± 0.46780.3691 ± 0.18741.5112223
TSVR509.4136 ± 229.8878416.2661 ± 194.79600.7154 ± 0.31290.3126 ± 0.447514.912–40.123
LTSVR875.5967 ± 178.9845724.9856 ± 141.09310.9595 ± 0.31070.2126 ± 0.18104.27082–30.223
LTQSSVR233.7883±74.5269184.9046±58.44560.0698±0.03750.9108±0.11893.3972–10.01

AR2
50 × 20
RR772.9401 ± 94.6686644.1068 ± 80.04710.7422 ± 0.28181.2858 ± 0.38050.0002
LR804.7534 ± 205.3123660.0124 ± 152.29020.7986 ± 0.36271.4378 ± 0.509122.6734
nu-SVR1019.9 ± 164.4628828.6489 ± 138.90971.2486 ± 0.42600.2486 ± 0.42600.17612–40.0012–2
ϵ-SVR1013.4 ± 147.9270832.0854 ± 131.69541.2332 ± 0.41590.2332 ± 0.41590.1979250.0012–4
LSSVR876.2712 ± 35.8862656.5610 ± 33.60030.3968 ± 0.05380.5012 ± 0.06990.79772525
TSVR825.4982 ± 192.4043662.9940 ± 167.33090.2658 ± 0.12590.7697 ± 0.251518.86292–10.0125
LTSVR2370 ± 767.36382016.2 ± 758.35742.1851 ± 1.40991.3458 ± 1.21799.17192–30.224
LTQSSVR503.2282±111.1342391.0349±93.53830.1362±0.07360.9079±0.042420.7707200.2

AR3
100 × 30
RR951.3805 ± 112.4494750.8384 ± 88.44910.1356 ± 0.03770.8898 ± 0.06310.0072
LR922.5558 ± 132.01183741.5420 ± 92.64910.1268 ± 0.03580.9371±0.05480.5144
nu-SVR2685.5 ± 229.40382179.9 ± 162.69851.0437 ± 0.03770.0437 ± 0.03773.7895250.0012–4
ϵ-SVR2701.6 ± 228.98892197.2 ± 166.98671.0571 ± 0.05780.0571 ± 0.05780.5144250.0012–4
LSSVR1098 ± 121.5927889.7450 ± 74.51020.0923 ± 0.01970.7229 ± 0.07032.28722525
TSVR758.5976 ± 149.9849601.7016 ± 128.25130.1026±0.06110.8481 ± 0.097548.9992250.225
LTSVR3841.9 ± 2813.93325.2 ± 2771.01.7216 ± 2.72581.4169 ± 2.484464.70862–40.225
LTQSSVR863.4386±114.7082664.7501±96.25450.1590 ± 0.05400.8574 ± 0.1567144.6868240.001

AR4
500 × 30
RR804.0858 ± 29.61234620.5212 ± 29.05680.1167 ± 0.01220.8591 ± 0.05273.5505
LR741.3826 ± 28.4248589.9683 ± 27.11260.0992 ± 0.01080.9021 ± 0.04966.5738
nu-SVR2367.5 ± 67.09771864.1 ± 58.49011.0067 ± 0.00740.0067 ± 0.00746.3427250.0012–4
ϵ-SVR2370.9 ± 68.49161867.5 ± 60.75371.0096 ± 0.01280.0096 ± 0.01289.1899220.0012–4
LSSVR579.1923 ± 69.7749460.4036 ± 43.40870.0656 ± 0.01100.8806 ± 0.036946.98752525
TSVR489.2266±23.5683391.9541±24.62630.0612 ± 0.00120.9893 ± 0.0012519.6265250.0125
LTSVR7321 ± 14916689.5 ± 859.52714.6432–40.223
LTQSSVR529.4326 ± 59.2533473.1416 ± 2.96230.0607±0.01221.001±0.0011442.1526250.1

AR5
1000 × 10
RR355.4752 ± 13.4051283.0450 ± 10.64220.1897 ± 0.01170.6229 ± 0.04950.0018
LR231.9386 ± 8.2504181.3980 ± 6.93250.0809 ± 0.00640.9459 ± 0.06031.8952
nu-SVR817.6871 ± 22.6287651.5018 ± 13.54891.0028 ± 0.00310.0028 ± 0.003122.8603250.0012–4
ϵ-SVR817.6872 ± 22.6285651.5021 ± 13.54871.0028 ± 0.00310.0028 ± 0.003121.8329250.0012–4
LSSVR43.43 ± 1.2631.09 ± 0.790.002 ± 0.00010.9815 ± 0.0039115.9852524
TSVR8.25 ± 1.175.65 ± 0.830.0001 ± 2.33E − 050.9967 ± 0.003332081.8062–40.0125
LTSVR435.58 ± 431.67347.57 ± 344.480.5135 ± 0.51340.5134 ± 0.48655105.0842–30.0125
LTQSSVR0.0758±0.01910.0731±0.02121.34E08±6.24E091.000±1.98E051546.984220.2

AR6
2000 × 10
RR348.4587 ± 5.2498277.5702 ± 4.65630.1884 ± 0.00890.6374 ± 0.02280.0029
LR232.5254 ± 5.7657180.2640 ± 4.96330.0840 ± 0.00660.9209 ± 0.02158.6790
nu-SVR804.4539 ± 15.5199644.4631 ± 13.43411.0033 ± 0.00580.0033 ± 0.005868.0419250.0012–4
ϵ-SVR804.4538 ± 15.5199644.4633 ± 13.43411.0033 ± 0.00580.0033 ± 0.005895.3783250.0012–4
LSSVR29.2831 ± 0.123919.5835 ± 0.51750.0016 ± 3.1304e − 050.9765 ± 6.0976e − 04920.05512524
TSVR10.3615 ± 1.53147.2374 ± 1.41150.0001 ± 1.96E − 050.9963 ± 0.001710673.1922–20.0125
LTSVR775.3161 ± 133.3652625.1344 ± 119.25641.2355 ± 0.24560.3495 ± 0.131616739.22–40.012–4
LTQSSVR0.1074±0.04100.1032±0.04163.06e08±2.23e081.000±1.3591e057536.641250.01

AR7
3000 × 5
RR294.1609 ± 3.7125237.5383 ± 2.63170.1974 ± 0.00390.4435 ± 0.00820.1503
LR143.8636 ± 2.7915110.1801 ± 1.76340.0472 ± 0.00120.9656 ± 0.03086.5705
nu-SVR560.7090 ± 10.0120442.1160 ± 6.12400.7170 ± 0.01270.0643 ± 0.00741134.1517250.0012–4
ϵ-SVR560.7196 ± 10.0115442.1315 ± 6.12420.7170 ± 0.01270.0643 ± 0.0074170.9971250.0012–4
LSSVR10.4242 ± 0.51636.6254 ± 0.27750.0002 ± 2.23083e − 050.9964 ± 0.00032959.88482524
TSVR2–40.0125
LTSVR2–30.0125
LTQSSVR0.0667±0.00490.0664±0.00511E08±1.39E091.000±1.98E051546.984220.2

AR8
5000 × 3
RR121.4335 ± 1.998498.4936 ± 1.47190.2308 ± 0.00340.5152 ± 0.00830.0044
LR104.7501 ± 2.366778.1530 ± 1.08140.1717 ± 0.00490.8325 ± 0.01078.9268
nu-SVR7.7250 ± 0.87821.3397 ± 0.15420.0009 ± 2.0694e − 040.9892 ± 0.00181219.7795250.0012–4
ϵ-SVR7.7357 ± 0.87901.3571 ± 0.15400.0009 ± 2.0743e − 040.9888 ± 0.0018438.3024250.0012–4
LSSVR2.0616 ± 0.30760.8998 ± 0.32416.7308e − 05 ± 1.9711e − 050.9967 ± 0.0016150667.62424
TSVR2–40.0125
LTSVR2–30.0125
LTQSSVR0.0716±0.02400.0710±0.02458.4658E08±6.31E091.000±1.86311E0622332.86250.2