Table 5 Optimized health prediction model for WSN.
No | Rule weight | Feature | Output distribution | |
|---|---|---|---|---|
\(AR\) | \(FR\) | \(\{ H,\;M,\;L\}\) | ||
1 | 0.4857 | \(L\) | \(L\) | (0.9248 0.0072 0.0680) |
2 | 0.2223 | \(L\) | \(SL\) | (0.9293 0.0571 0.0136) |
3 | 0.0030 | \(L\) | \(M\) | (0.3626 0.0091 0.6283) |
4 | 0.0019 | \(L\) | \(SH\) | (0.8781 0.1161 0.0057) |
5 | 0.3637 | \(L\) | \(H\) | (0.0000 0.1918 0.8085) |
6 | 0.0000 | \(M\) | \(L\) | (0.1931 0.8066 0.0003) |
7 | 0.2912 | \(M\) | \(SL\) | (0.9985 0.0025 0.0000) |
8 | 0.9306 | \(M\) | \(M\) | (0.9992 0.0011 0.0000) |
9 | 0.6959 | \(M\) | \(SH\) | (0.9963 0.0039 0.0000) |
10 | 0.5965 | \(M\) | \(H\) | (0.9952 0.0036 0.0012) |
11 | 0.9973 | \(SH\) | \(L\) | (0.0003 0.0014 0.9983) |
12 | 0.0000 | \(SH\) | \(SL\) | (0.0014 0.0016 0.9970) |
13 | 0.3308 | \(SH\) | \(M\) | (0.0053 0.0322 0.9625) |
14 | 0.0137 | \(SH\) | \(SH\) | (0.5073 0.4924 0.0003) |
15 | 0.6357 | \(SH\) | \(H\) | (0.1238 0.3275 0.5487) |
16 | 0.0036 | \(H\) | \(L\) | (0.0721 0.2685 0.6594) |
17 | 0.8106 | \(H\) | \(SL\) | (0.0016 0.0018 0.9966) |
18 | 0.8338 | \(H\) | \(M\) | (0.0000 0.0042 0.9964) |
19 | 0.9966 | \(H\) | \(SH\) | (0.0033 0.0012 0.9954) |
20 | 0.0000 | \(H\) | \(H\) | (0.0384 0.5554 0.4062) |
