Table 7 Analysis of the LIME technique for enhancing model explainability.
Rank | Feature | LIME value |
|---|---|---|
0 | pSrcLoss <= −0.03 | −0.178219 |
1 | −0.11 < DIntPkt <= −0.08 | −0.080925 |
2 | pLoss <= −0.03 | 0.073339 |
3 | SrcBytes <= −0.02 | 0.067476 |
4 | Loss <= −0.03 | −0.052451 |
5 | sMaxPktSz <= −0.02 | −0.048281 |
6 | sMinPktSz <= −0.02 | 0.041562 |
7 | −0.12 < DstJitter <= −0.08 | 0.037668 |
8 | −0.84 < Sport <= −0.05 | 0.028903 |
9 | Temp <= −0.44 | −0.024749 |
10 | −0.37 < Pulse_Rate < = 0.44 | 0.021428 |
11 | Heart_rate > 0.54 | 0.018368 |
12 | −0.07 < SIntPkt <= −0.06 | −0.016326 |
13 | TotPkts <= −0.05 | −0.016207 |
14 | −0.09 < Resp_Rate < = 0.59 | 0.014239 |
