shap

When using r2 as eval metric for regression task (with 'Explain' mode) the metric values reported in Leaderboard (at README.md file) are multiplied by -1.
For instance, the metric value for some model shown in the Leaderboard is -0.41, while when clicking the model name leads to the detailed results page - and there the value of r2 is 0.41.
I've noticed that when one of R2 metric values in the L

Recently dtreeviz has added support for lightgbm models: https://github.com/parrt/dtreeviz/

So it would be cool to add the same tree visualization in explainerdashboard that already exist for RandomForest, ExtraTrees and XGBoost models.

If someone wants to pitch in to help extract individual predictions of decision trees inside lightgbm boosters and then get them in shape to be used by the

Catboost has a little bit different api and currently EarlyStoppingShapRFECV throw a error, if I tried to use it:

TypeError: fit() got an unexpected keyword argument 'eval_metric'

Users don't know what chance they need to get into universities of their choice.

Minimum chance neede to get into some top universities.

Feature originally suggested by naveen_v on fastai forums