More Metrics
Currently, we use the default metrics for scoring.
sklearn's cross_validate
can support multiple metrics.
We will have to add multiple metrics as a selection, but maybe also multiple ones as default.
I would show by default for:
A) Regression:
- r2
- adj. r2
- mae
- mse
B) Classification:
- accuracy
- balanced accuracy
- auc_roc
- f1