86
Table 67: MLP on the split binary training set
precision recall f1-score support
abnormal
1.00
1.00
1.00
46822
normal
1.00
1.00
1.00
53956
accuracy
1.00
100778
macro avg
1.00
1.00
1.00
100778
weighted avg 1.00
1.00
1.00
100778
Table 68: MLP on the split binary test set (validation)
precision recall f1-score support
abnormal
1.00
1.00
1.00
11703
normal
1.00
1.00
1.00
13492
accuracy
1.00
25195
macro avg
1.00
1.00
1.00
25195
weighted avg 1.00
1.00
1.00
25195
Table 69: MLP on the split 4-class training set
precision recall f1-score support
DoS
1.00
1.00
1.00
36759
Probe
1.00
1.00
1.00
9308
R2L
0.96
0.94
0.95
793
U2R
0.86
0.91
0.89
35
normal
1.00
1.00
1.00
53883
accuracy
1.00
100778
macro
0.96
0.97
0.97
100778
weighted avg 1.00
1.00
1.00
100778
Table 70: MLP on the split 4-class test set (validation)
precision recall f1-score support
DoS
1.00
1.00
1.00
9165
Probe
0.99
0.99
0.99
2338
R2L
0.94
0.96
0.95
211
U2R
0.40
1.00
0.57
6
normal
1.00
1.00
1.00
13475
accuracy
1.00
25195
macro avg
0.87
0.99
0.90
25195
weighted avg 1.00
1.00
1.00
25195