Table 3.
Synthetic data summary for each simulated layer.
| Layer | # Features | # Informative features | Multiplicative factor | Class separation | Random state |
|---|---|---|---|---|---|
| Layer 1 | 100 | 10 | Default | 1.0 | 1 |
| Layer 2 | 50 | 5 | Default | 1.2 | 2 |
| Layer 3 | 250 | 25 | 10 | 0.8 | 3 |
Multiplicative factor, class separation, and random state refer to the parameters scale, class_sep, and random_state of the make_classification function in scikit-learn.