Advances, Systems and Applications
Table 4 Comparative Analysis of AI Trust-Based Models
Ref. | Tech | TC | FS | CA | CO | PP | RB | Eff |
|---|---|---|---|---|---|---|---|---|
[123] | KNN | Binary class | User info | ✗ | ✗ | ✗ | ✗ | Acc: 0.83 |
[124] | RF | [0,1] | user features | ✗ | ✗ | ✗ | ✗ | Acc: 0.7 |
[125] | SVM | [1, -1] | Mul. features | ✗ | ✗ | ✗ | ✗ | Acc: 0.81 |
[126] | Reg | Binary classification | features | ✗ | ✗ | ✗ | ✗ | Acc: 0.73 |
[127] | RBM | [1, -1] | User rating | ✗ | ✗ | ✗ | ✗ | Acc: 0.7-0.9 |
[128] | RBM | NA | NA | ✗ | ✗ | ✗ | ✓ | ✗ |
[114] | SVM | [1,0, -1] | NA | ✗ | ✗ | ✗ | ✗ | Acc: 0.97 |
[119] | Fuzzy | Four categories | NA | ✓ | ✗ | ✗ | ✓ | ✗ |
[115] | NB | [1,0, -1] | beh. features | ✗ | ✗ | ✗ | ✓ | AUC: 0.92 |
[106] | SVM | [0,1] | credi bility info | ✗ | ✗ | ✗ | ✗ | Pre: 0.89 |
[129] | SVM | [0,1] | features | ✗ | ✗ | ✗ | ✗ | Acc: 0.97 |
[130] | DT | [1, -1] | NA | ✗ | ✗ | ✗ | ✗ | Acc: 0.90 |
[131] | ANN | [1, -1] | Vehi cular | ✓ | ✗ | ✗ | ✓ | Precision: 0.92 |