62
Table 19: decision tree on the binary training set
precision recall f1-score support
abnormal
1.00
1.00
1.00
58637
normal
1.00
1.00
1.00
67336
accuracy
1.00
125973
macro avg
1.00
1.00
1.00
125973
weigthed avg 1.00
1.00
1.00
125973
Table 20: decision tree on the binary test set (validation)
precision recall f1-score support
abnormal
0.66
0.96
0.78
8879
normal
0.96
0.68
0.80
13665
accuracy
0.79
22544
macro avg
0.81
0.82
0.79
22544
weighted avg 0.84
0.79
0.79
22544
Table 21: decision tree on the 4-class training set
precision recall f1-score support
DoS
1.00
1.00
1.00
45932
Probe
1.00
1.00
1.00
11657
R2L
1.00
1.00
1.00
995
U2R
1.00
0.98
0.99
53
normal
1.00
1.00
1.00
67336
accuracy
1.00
125973
macro avg
1.00
1.00
1.00
125973
weighted avg 1.00
1.00
1.00
125973
Table 22: decision tree on the 4-class test set (validation)
precision recall f1-score support
DoS
0.80
0.96
0.87
6279
Probe
0.64
0.80
0.71
1929
R2L
0.08
0.98
0.14
222
U2R
0.25
0.55
0.35
31
normal
0.96
0.66
0.79
14083
accuracy
0.76
22544
macro avg
0.55
0.79
0.57
22544
weighted avg 0.88
0.76
0.80
22544