Table 4 Description of five selected machine learning data
From: Entropy clustering-based granular classifiers for network intrusion detection
Data sets | Glass data | E-coli data | Lonosphere data | Diabetes data | Banana data |
|---|---|---|---|---|---|
LDA [25] | 77.62 | 88.12 | Null | 76.60 | 76.60 |
SVM+LD A[25] | 79.17 | 88.29 | Null | 76.58 | 53.03 |
SV M[24] | 74.81 ± 0.64 | 87.28 ± 0.36 | 95.71 ± 0.02 | 76.76 ± 0.08 | 89.40 ± 0.02 |
KN N[22] | 72.00 | *Null | Null | Null | Null |
TS-KN N[22] | 80.40 | Null | Null | Null | Null |
The proposed ECGC | 1.1. 84.26 ± 1.60 | 1.2. 90.77 ± 0.08 | 1.3. 96.60 ± 0.24 | 1.4. 78.12 ± 0.23 | 1.5. 89.56 ± 0.12 |