Table 6.
Accuracy comparison among the proposed algorithm, IODetector, Co-Training and GPS based detection.
| Random Forest | IODetector | Co-Training | GPS | |
|---|---|---|---|---|
| Accuracy | 95.3% | 61.2% | 93.14% | 71.6% |
Accuracy comparison among the proposed algorithm, IODetector, Co-Training and GPS based detection.
| Random Forest | IODetector | Co-Training | GPS | |
|---|---|---|---|---|
| Accuracy | 95.3% | 61.2% | 93.14% | 71.6% |