Tabular Data Generation On Diabetes
Metrics
DT Accuracy
LR Accuracy
Parameters(M)
RF Accuracy
Results
Performance results of various models on this benchmark
Comparison Table
| Model Name | DT Accuracy | LR Accuracy | Parameters(M) | RF Accuracy |
|---|---|---|---|---|
| language-models-are-realistic-tabular-data | 0.541 | 0.5733 | 82 | 0.5803 |
| modeling-tabular-data-using-conditional-gan | 0.4973 | 0.5093 | 9.6 | 0.5223 |
| tabular-data-generation-using-binary | 0.5713 | 0.5775 | 1.8 | 0.5752 |
| language-models-are-realistic-tabular-data | 0.5523 | 0.5734 | 355 | 0.5834 |
| modeling-tabular-data-using-conditional-gan | 0.5330 | 0.5634 | 0.359 | 0.5517 |
| modeling-tabular-data-using-conditional-gan | 0.385 | 0.4027 | 9.4 | 0.3759 |