77
Table 49: decision tree on the split binary training set
precision recall f1-score support
abnormal
1.00
1.00
1.00
46897
normal
1.00
1.00
1.00
53881
accuracy
1.00
100778
macro avg
1.00
1.00
1.00
100778
weigthed avg 1.00
1.00
1.00
100778
Table 50: decision tree on the split binary test set (validation)
precision recall f1-score support
abnormal
1.00
1.00
1.00
11736
normal
1.00
1.00
1.00
13459
accuracy
1.00
25195
macro avg
1.00
1.00
1.00
25195
weighted avg 1.00
1.00
1.00
25195
Table 51: decision tree on the split 4-class training set
precision recall f1-score support
DoS
1.00
1.00
1.00
36765
Probe
1.00
1.00
1.00
9314
R2L
1.00
1.00
1.00
780
U2R
1.00
0.97
0.99
38
normal
1.00
1.00
1.00
53881
accuracy
1.00
100778
macro avg
1.00
0.99
1.00
100778
weighted avg 1.00
1.00
1.00
100778
Table 52: decision tree on the split 4-class test set (validation)
precision recall f1-score support
DoS
1.00
1.00
1.00
9164
Probe
0.99
1.00
0.99
2339
R2L
0.96
0.97
0.97
213
U2R
0.67
0.62
0.65
16
normal
1.00
1.00
1.00
13463
accuracy
1.00
25195
macro avg
0.92
0.92
0.92
25195
weighted avg 1.00
1.00
1.00
25195