Interactive Feature Selection for Kidney Radiomics
Compare LASSO, Ridge, Elastic Net and stability selection on correlated size and shape features, and watch the selected subset move.
- feature selection
- LASSO
- regularization
- stability selection
- radiomics
Features selected
2.000
Size-group selected
2.000
of 4
Shape-group selected
0.000
of 2
Coefficient magnitudes
Selected features
| Feature | Group | Coefficient / probability | Selected |
|---|---|---|---|
| tumor_volume_cm3 | Size | 0.074 | yes |
| tumor_surface_cm2 | Size | 0.000 | no |
| max_bbox_extent_mm | Size | 0.000 | no |
| max_axial_area_mm2 | Size | 0.524 | yes |
| tumor_sphericity | Shape | 0.000 | no |
| bbox_elongation | Shape | 0.000 | no |
Selection is itself a random variable
Ridge shrinks every coefficient but selects nothing; LASSO and Elastic Net threshold weak features to exactly zero, and the identity of the zeroed set changes with lambda. Stability selection reports how often a bootstrap replicate would have kept each feature — a single LASSO fit can be a coin flip away from a different subset.