59
Table 13: logistic regression on the binary training set
Table 14: logistic regression on the binary test set (validation)
precision recall f1-score support
abnormal
0.62
0.92
0.74
8713
normal
0.93
0.65
0.76
13831
accuracy
0.75
22544
macro avg
0.77
0.78
0.75
22544
weighted avg 0.81
0.75
0.76
22544
Table 15: logistic regression on the 4-class training set
precision recall f1-score support
DoS
1.00
1.00
1.00
45984
Probe
0.96
0.98
0.97
11497
R2L
0.80
0.82
0.81
968
U2R
0.54
0.88
0.67
32
normal
0.99
0.99
0.99
67492
accuracy
0.99
125973
macro avg
0.86
0.93
0.89
125973
weighted avg 0.99
0.99
0.99
125973
Table 16: logistic regression on the 4-class test set (validation)
precision recall f1-score support
DoS
0.84
0.92
0.88
6789
Probe
0.71
0.86
0.78
2005
R2L
0.04
0.50
0.08
238
U2R
0.34
0.74
0.47
31
normal
0.93
0.67
0.78
13481
accuracy
0.76
22544
macro avg
0.57
0.74
0.60
22544
weighted avg 0.87
0.76
0.80
22544
precision recall f1-score support
abnormal
0.97
0.98
0.97
57838
normal
0.98
0.97
0.98
68135
accuracy
0.97
125973
macro avg
0.97
0.97
0.97
125973
weighted avg 0.97
0.97
0.97
125973