69
Multi-layer perceptron:
Table 35: MLP on multiclass training set
precision recall f1-score support
back
0.99
0.98
0.99
963
buffer_overflow 0.77
1.00
0.87
23
ftp_write
0.75
1.00
0.86
6
guess_passwd
1.00
1.00
1.00
53
imap
1.00
0.92
0.96
12
ipsweep
0.99
0.99
0.99
3622
land
1.00
0.72
0.84
25
loadmodule
0.78
1.00
0.88
7
multihop
0.57
0.80
0.67
5
neptune
1.00
1.00
1.00
41215
nmap
0.96
0.99
0.98
1455
normal
1.00
1.00
1.00
67388
perl
1.00
1.00
1.00
3
phf
1.00
1.00
1.00
4
pod
0.99
1.00
0.99
198
portsweep
1.00
1.00
1.00
2927
rootkit
0.40
1.00
0.57
4
satan
0.99
1.00
0.99
3613
smurf
1.00
1.00
1.00
2640
spy
1.00
1.00
1.00
2
teardrop
1.00
1.00
1.00
892
warezclient
0.96
0.96
0.96
892
warezmaster
1.00
0.83
0.91
24
accuracy
1.00
125973
macro avg
0.92
0.96
0.93
125973
weighted avg
1.00
1.00
1.00
125973