Table 6.
A description of the success metrics compared to baseline classifiers using the women's clothing dataset for the proposed approach.
| Method | Accuracy (%) | Precision (%) | Recall (%) | F1 score (%) |
|---|---|---|---|---|
| KNN | 77.45 | 65 | 65 | 65 |
| RF | 78.34 | 80 | 80 | 80 |
| DTC | 73.34 | 73 | 73 | 73 |
| LR | 82.75 | 88 | 88 | 88 |
| Naïve Bayes | 82.80 | 81 | 80 | 80 |
| SVM | 77.25 | 75 | 75 | 75 |
| MLP | 82.80 | 87 | 87 | 87 |
| DSC | 80.01 | 80 | 80 | 80 |