Table 4.
Feature selection performance of different approaches in simulated scenarios for interaction models
| Methods | Performance (Number of Features Selected) | |||||
|---|---|---|---|---|---|---|
| Interaction Model Scenarios | ||||||
| 1_M | 2_M | 3_M | ||||
| p = 15 | χ = 105 | p = 25 | χ = 300 | p = 50 | χ = 1225 | |
| Target Features | ||||||
| 10 | 9 | 10 | 9 | 10 | 9 | |
| Mean (Range) | ||||||
| ALASSO |
15 (15–15) |
31 (20–41) |
24 (22–25) |
46 (32–67) |
32 (2–45) |
36 (1–67) |
| GLASSO |
15 (14–15) |
40 (22–51) |
25 (24–25) |
66 (39–74) |
47 (45–49) |
76 (72–81) |
| LASSO |
15 (15–15) |
33 (18–49) |
24 (22–25) |
45 (30–65) |
16 (1–45) |
16 (0–71) |
| SPLS |
14 (12–15) |
36 (16–102) |
19 (9–25) |
65 (6–287) |
38 (6–50) |
417 (1–1057) |
| Enet |
15 (15–15) |
34 (21–44) |
22 (14–25) |
39 (11–60) |
29 (2–50) |
36 (1–116) |
| AEnet |
15 (15–15) |
32 (24–41) |
24 (22–25) |
44 (31–64) |
37 (2–49) |
53 (1–104) |
| AIWRAP-L |
12 (12–14) |
34 (20–47) |
18 (14–21) |
50 (26–60) |
29 (27–32) |
85 (71–99) |
| AIWRAP-LLr |
12 (12–14) |
30 (8–44) |
16 (10–20) |
36 (5–47) |
24 (8–30) |
30 (2–52) |
| AIWRAP-LR |
12 (12–14) |
34 (20–47) |
18 (14–21) |
50 (26–60) |
28 (24–30) |
46 (26–88) |
Values in Bold means best results