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@@ -33,6 +33,7 @@ The following variables may be set to alter the behaviour of dfatool components. | `DFATOOL_DTREE_FUNCTION_LEAVES` | 0, **1** | Use functions (fitted via linear regression) in decision tree leaves when modeling numeric parameters with at least three distinct values. If 0, integer parameters are treated as enums instead. | | `DFATOOL_DTREE_SKLEARN_CART` | **0**, 1 | Use sklearn CART ("Decision Tree Regression") algorithm for decision tree generation. Uses binary nodes and supports splits on scalar variables. Overrides `FUNCTION_LEAVES` (=0) and `NONBINARY_NODES` (=0). | | `DFATOOL_CART_MAX_DEPTH` | **0** ... *n* | maximum depth for sklearn CART. Default: unlimited. | +| `DFATOOL_USE_XGBOOST` | **0**, 1 | Use Extreme Gradient Boosting algorithm for decision tree generation. | | `DFATOOL_KCONF_WITH_CHOICE_NODES` | 0, **1** | Generate enum parameters from kconfig choice nodes; ignore corresponding boolean config options. | | `DFATOOL_KCONF_IGNORE_NUMERIC` | **0**, 1 | Ignore numeric (int/hex) configuration options. Useful for comparison with CART/DECART. | | `DFATOOL_KCONF_IGNORE_STRING` | **0**, 1 | Ignore string configuration options. Useful for comparison with CART/DECART. | |