Table 5. Comparison of different dimensionality reduction methods.
| Datasets | Dataset 1 | Dataset 2 | Dataset 3 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Algorithm | KNN | DT | RF | SVM | KNN | DT | RF | SVM | KNN | DT | RF | SVM |
| UMAP | 69.09% | 66.28% | 69.17% | 68.29% | 90.48% | 88.45% | 89.95% | 87.25% | 66.04% | 65.78% | 65.13% | 68.05% |
| t-SNE | 51.62% | 54.85% | 55.07% | 56.63% | 62.64% | 65.38% | 66.83% | 66.42% | 52.24% | 55.04% | 57.45% | 60.18% |