83
Table 61: Gaussian Naive Bayes on the split binary training set
precision recall f1-score support
abnormal
0.67
1.00
0.80
31514
normal
1.00
0.78
0.87
69264
accuracy
0.85
100778
macro avg
0.83
0.89
0.84
100778
weighted avg 0.90
0.85
0.85
100778
Table 62: Gaussian Naive Bayes on the split binary test set (validation)
precision recall f1-score support
abnormal
0.67
1.00
0.80
7876
normal
1.00
0.78
0.87
17319
accuracy
0.85
25195
macro avg
0.83
0.89
0.84
25195
weigthed avg 0.90
0.85
0.85
25195
Table 63: Gaussian Naive Bayes on the split 4-class training set
precision recall f1-score support
DoS
0.89
0.99
0.94
33310
Probe
0.18
0.97
0.30
1718
R2L
0.55
0.02
0.04
21711
U2R
1.00
0.01
0.02
4102
normal
0.56
0.75
0.64
39937
accuracy
0.65
100778
macro avg
0.64
0.55
0.39
100778
weighted avg 0.68
0.65
0.58
100778
Table 64: Gaussian Naive Bayes on the split 4-class test set (validation)
precision recall f1-score support
DoS
0.89
0.99
0.94
8266
Probe
0.19
0.97
0.32
456
R2L
0.57
0.02
0.04
5441
U2R
0.87
0.01
0.03
1017
normal
0.56
0.75
0.64
10015
accuracy
0.65
25195
macro avg
0.61
0.55
0.39
25195
weighted avg 0.68
0.65
0.58
25195