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Table 2 Class distribution in full data-set

From: Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set

Class Percentage
Normal 87.35
Exploits 1.75
Reconnaissance 0.55
DoS 0.64
Generic 8.48
Shellcode 0.06
Fuzzers 0.95
Analysis 0.11
Backdoor 0.10
Worms 0.01
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