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.
| Noise | Alg | RMSE | MAE | SSE/SST | SSR/SST | Time (s) | c | ϵ | σ |
| Type 1 | RR | 0.3102 ± 0.0115 | 0.1804 ± 0.0066 | 1.1385 ± 0.0163 | 0.1389 ± 0.0162 | 0.0434 | | | | LR | 0.3106 ± 0.0115 | 0.1805 ± 0.0066 | 1.1410 ± 0.0170 | 0.1410 ± 0.0170 | 0.0004 | | | | nu-SVR | 635.0782 ± 2.0081e + 03 | 257.3113 ± 813.5255 | 4.7260e + 07 ± 1.4945e + 08 | 4.7260e + 07 ± 1.4945e + 08 | 47.0139 | 22 | 0.001 | 2–1 | ϵ-SVR | 158.5021 ± 350.9712 | 91.1181 ± 197.1021 | 1.6476e + 06 ± 3.9456e + 06 | 1.6476e + 06 ± 3.9456e + 06 | 28.7549 | 22 | 0.001 | 2–1 | LSSVR | 0.6531 ± 0.0155 | 0.5141 ± 0.0144 | 4.5383 ± 0.4865 | 4.3325 ± 0.5131 | 830.3177 | 25 | | 2–1 | TSVR | 0.6544 ± 0.0270 | 0.5314 ± 0.0176 | 4.3852 ± 0.4677 | 4.2048 ± 0.4878 | 2024.7431 | 2–4 | 0.001 | 2–1 | LTSVR | 0.5870 ± 0.0372 | 0.4839 ± 0.0247 | 3.7994 ± 0.2871 | 3.8503 ± 0.1351 | 26531.2 | 22 | 0.01 | 22 | LTQSSVR | 0.3961 ± 0.0187 | 0.2851 ± 0.0239 | 1.7631 ± 0.1997 | 0.3917 ± 0.1451 | 96.3907 | 2–1 | 0.01 | |
| Type 2 | RR | 0.3432 ± 0.0102 | 0.2034 ± 0.0065 | 1.1693 ± 0.0168 | 0.1695 ± 0.0172 | 0.0027 | | | | LR | 0.3434 ± 0.0110 | 0.2034 ± 0.0075 | 1.1705 ± 0.0222 | 0.1705 ± 0.0222 | 0.0024 | | | | nu-SVR | 588.4 ± 186.1 | 140.7 ± 444.7 | 3.4195e + 07 ± 1.0814e + 08 | 3.4196e + 07 ± 1.0814e + 08 | 53.9877 | 2–2 | 0.001 | 20 | ϵ-SVR | 107.6 ± 238.9 | 87.9 ± 193.4 | 6.4387e + 05 ± 1.6125e + 06 | 6.4345e + 05 ± 1.6114e + 06 | 43.9494 | 2–2 | 0.001 | 20 | LSSVR | 0.6406 ± 0.0257 | 0.5193 ± 0.0233 | 4.3594 ± 0.4286 | 4.0586 ± 0.3830 | 959.2185 | 20 | | 2–2 | TSVR | 0.6338 ± 0.0397 | 0.5123 ± 0.0321 | 4.1191 ± 0.6138 | 3.7309 ± 0.5828 | 5657.1416 | 2–4 | 0.2 | 20 | LTSVR | 0.6988 ± 0.1573 | 0.5541 ± 0.1162 | 4.8817 ± 1.5382 | 5.0229 ± 1.9708 | 4583.9875 | 2–2 | 0.001 | 24 | LTQSSVR | 0.3979 ± 0.0321 | 0.2817 ± 0.0225 | 1.7730 ± 0.2054 | 0.3920 ± 0.1574 | 93.6575 | 2–1 | 0.01 | |
| Type 3 | RR | 0.3431 ± 0.0102 | 0.2033 ± 0.0068 | 1.1688 ± 0.0171 | 0.1690 ± 0.0175 | 0.0038 | | | | LR | 0.3431 ± 0.0107 | 0.2033 ± 0.0072 | 1.1688 ± 0.0190 | 0.1688 ± 0.0190 | 0.0003 | | | | nu-SVR | 165.9 ± 524.4 | 93.1 ± 293.7 | 2.8467e + 06 ± 9.0020e + 06 | 2.8464e + 06 ± 9.0012e + 06 | 26531.2 | 23 | 0.001 | 2–1 | ϵ-SVR | 0.1545 ± 0.0015 | 0.1536 ± 0.0017 | 0.2373 ± 0.0130 | 1.2355 ± 0.0176 | 30.5638 | 20 | 0.001 | 20 | LSSVR | 0.6531 ± 0.0155 | 0.5141 ± 0.0144 | 4.5383 ± 0.4865 | 4.3325 ± 0.5131 | 1200.9825 | 25 | | 2–1 | TSVR | 0.6273 ± 0.0062 | 0.4944 ± 0.0094 | 4.0209 ± 0.0178 | 3.6071 ± 0.0231 | 2887.8195 | 2–4 | 0.1 | 20 | LTSVR | 0.6852 ± 0.0327 | 0.5311 ± 0.0301 | 5.4208 ± 1.1646 | 5.4496 ± 1.3123 | 4735.0025 | 22 | 0.001 | 22 | LTQSSVR | 0.3935 ± 0.0160 | 0.3310 ± 0.0148 | 1.7354 ± 0.1279 | 0.4470 ± 0.0608 | 100.1174 | 2–2 | 0.01 | |
| Type 4 | RR | 0.3431 ± 0.0103 | 0.2033 ± 0.0071 | 1.1687 ± 0.0174 | 0.1687 ± 0.0175 | 0.0037 | | | | LR | 0.3431 ± 0.0104 | 0.2033 ± 0.0070 | 1.1687 ± 0.0183 | 0.1687 ± 0.0183 | 0.0003 | | | | nu-SVR | 542.5 ± 1429.7 | 235.1 ± 571.1 | 2.1116e + 07 ± 6.3937e + 07 | 2.1115e + 07 ± 6.3936e + 07 | 26531.2 | 23 | 0.001 | 2–1 | ϵ-SVR | 0.0811 ± 0.0070 | 0.0769 ± 0.0070 | 0.0658 ± 0.0119 | 0.9687 ± 0.0149 | 9.4324 | 23 | 0.001 | 2–1 | LSSVR | 0.6531 ± 0.0155 | 0.5141 ± 0.0144 | 4.5383 ± 0.4865 | 4.3325 ± 0.5131 | 1200.9825 | 25 | | 2–1 | LSSVR | 0.6442 ± 0.0173 | 0.5121 ± 0.0142 | 4.4135 ± 0.4501 | 4.2044 ± 0.4833 | 12.1205 | 23 | | 2–2 | TSVR | 0.6064 ± 0.0099 | 0.4784 ± 0.0060 | 3.7604 ± 0.2137 | 3.2961 ± 0.2944 | 737.7178 | 2–4 | 0.2 | 20 | LTSVR | 0.6426 ± 0.0481 | 0.5 ± 0.0140 | 4.1282 ± 0.3409 | 4.0077 ± 0.3712 | 9533.4572 | 22 | 0.01 | 2–2 | LTQSSVR | 0.3781 ± 0.0257 | 0.2980 ± 0.0298 | 1.6028 ± 0.1709 | 0.3151 ± 0.1171 | 113.2787 | 2–1 | 0.01 | |
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