Table 1 Summary of the generalization performance of high-rank SNP features evaluated by lasso on the three datasets.
Data | Features’ number | ECAR | CAR | Lasso | Stability selection | SIS | Ridge | Base lasso |
|---|---|---|---|---|---|---|---|---|
Spike Length (\({R}^{2}\hspace{0.17em}\)= 0.4, \(\mathrm{\alpha }\hspace{0.17em}\hspace{0.17em}\)=  0.45) | 5 | 342.9 | 357.3 | 361.1 | 331.4 | 331.2 | 366.1 | 272.8 |
10 | 320.4 | 330.1 | 339.0 | 317.1 | 325.0 | 332.2 | 272.8 | |
20 | 303.6 | 308.7 | 314.9 | 301.1 | 317.8 | 317.0 | 272.8 | |
30 | 301.9 | 306.2 | 310.2 | 296.3 | 316.1 | 307.2 | 272.8 | |
Lodging Degree (\({R}^{2}\hspace{0.17em}\)= 0.32, \(\mathrm{\alpha }\hspace{0.17em}\)= 0.4) | 5 | 3.48 | 3.56 | 3.57 | 3.51 | 3.15 | 3.80 | 2.91 |
10 | 3.42 | 3.54 | 3.49 | 3.35 | 3.10 | 3.75 | 2.91 | |
20 | 3.36 | 3.39 | 3.46 | 3.30 | 3.14 | 3.60 | 2.91 | |
30 | 3.28 | 3.43 | 3.47 | 3.27 | 3.12 | 3.52 | 2.91 | |
Leaf Width (\({R}^{2}\hspace{0.17em}\)= 0.45 \(\mathrm{\alpha }\hspace{0.17em}\)= 0.5) | 5 | 0.067 | 0.067 | 0.070 | 0.062 | 0.060 | 0.069 | 0.050 |
10 | 0.061 | 0.061 | 0.063 | 0.059 | 0.056 | 0.066 | 0.050 | |
20 | 0.058 | 0.058 | 0.059 | 0.056 | 0.055 | 0.062 | 0.050 | |
30 | 0.056 | 0.056 | 0.059 | 0.055 | 0.059 | 0.060 | 0.050 |
