Research Article
Fault Diagnosis Using Data Fusion with Ensemble Deep Learning Technique in IIoT
Table 6
Comparative analysis of 75%–25% on the proposed model with various existing algorithms.
| Algorithm | Accuracy | Precision | Recall | F-score |
| RNN | 85.71 | 84.32 | 85.93 | 83.45 | LSTM | 92.10 | 92.43 | 92.15 | 91.68 | CNN | 92.46 | 93.48 | 92.44 | 91.81 | DNN | 89.52 | 90.21 | 89.54 | 89.03 | CNN-LSTM | 94.53 | 96.61 | 92.52 | 92.24 | PropensityNet | 94.16 | 96.17 | 92.32 | 92.10 | Proposed ensemble | 95.62 | 98.32 | 94.62 | 94.53 |
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