74
Table 43: logistic regression on the split binary training set
Table 44: logistic regression on the split binary test set (validation)
precision recall f1-score support
abnormal
0.97
0.98
0.97
11575
normal
0.98
0.97
0.98
13620
accuracy
0.97
25195
macro avg
0.97
0.97
0.97
25195
weighted avg 0.97
0.97
0.97
25195
Table 45: logistic regression on the split 4-class training set
precision recall f1-score support
DoS
1.00
1.00
1.00
36845
Probe
0.96
0.98
0.97
9161
R2L
0.74
0.81
0.77
718
U2R
0.54
0.83
0.66
24
normal
0.99
0.99
0.99
54030
accuracy
0.99
100778
macro avg
0.85
0.92
0.88
100778
weighted avg 0.99
0.99
0.99
100778
Table 46: logistic regression on the split 4-class test set (validation)
precision recall f1-score support
DoS
1.00
0.99
1.00
9191
Probe
0.96
0.98
0.97
2293
R2L
0.76
0.83
0.79
198
U2R
0.47
0.78
0.58
9
normal
0.99
0.99
0.99
13504
accuracy
0.99
25195
macro avg
0.84
0.91
0.87
25195
weighted avg 0.99
0.99
0.99
25195
precision recall f1-score support
abnormal
0.96
0.98
0.97
46228
normal
0.98
0.97
0.98
54550
accuracy
0.97
100778
macro avg
0.97
0.97
0.97
100778
weighted avg 0.97
0.97
0.97
100778