71
Table 37: MLP on binary training set
precision recall f1-score support
abnormal
1.00
1.00
1.00
58571
normal
1.00
1.00
1.00
67402
accuracy
1.00
125973
macro avg
1.00
1.00
1.00
125973
weighted avg 1.00
1.00
1.00
125973
Table 38: MLP on binary test set (validation)
precision recall f1-score support
abnormal
0.66
0.97
0.78
8769
normal
0.97
0.68
0.80
13775
accuracy
0.79
22544
macro avg
0.81
0.82
0.79
22544
weighted avg 0.85
0.79
0.79
22544
Table 39: MLP on 4-class training set
precision recall f1-score support
DoS
1.00
1.00
1.00
45902
Probe
1.00
1.00
1.00
11660
R2L
0.94
0.97
0.96
956
U2R
0.75
0.95
0.84
41
normal
1.00
1.00
1.00
67414
accuracy
1.00
125973
macro
0.94
0.98
0.96
125973
weighted avg 1.00
1.00
1.00
125973
Table 40: MLP on 4-class test set (validation)
precision recall f1-score support
DoS
0.82
0.97
0.89
6365
Probe
0.59
0.84
0.69
1686
R2L
0.11
0.79
0.19
391
U2R
0.31
0.88
0.46
24
normal
0.97
0.67
0.79
14078
accuracy
0.77
22544
macro avg
0.56
0.83
0.61
22544
weighted avg 0.89
0.77
0.80
22544