Table 51 Features by supervised ranking feature importance
From: IoT information theft prediction using ensemble feature selection
XGBoost | CatBoost | Light GBM | RF |
|---|---|---|---|
dport | sbytes | flgs_number | dport |
bytes | dport | dport | state_number |
dbytes | bytes | dur | bytes |
rate | max | bytes | drate |
dpkts | drate | state_number | srate |
drate | dbytes | proto_number | dpkts |
stddev | flgs_number | drate | dbytes |
proto_number | stddev | rate | flgs_number |
sum | min | stddev | proto_number |
flgs_number | dpkts | sport | sum |
dur | dur | dpkts | spkts |
state_number | Â | pkts | max |
mean | Â | mean | dur |
spkts | Â | dbytes | mean |
pkts | Â | min | sbytes |
sport | Â | max | min |
max | Â | sum | pkts |
| Â | Â | srate | sport |
| Â | Â | spkts | rate |
| Â | Â | sbytes | Â |