There are several `.pkl` files in this directory. Below their meaning is explained.

- A model can be `rf` (random forest) or `xgb` (XGBoost).
- For NEVO, there is a model trained on the dataset's `own` columns and on columns that are mapped to FNDDS.
- Most models are trained on `six` nutrients, meaning the six basic nutrients. A reference of `all` means trained on all available nutrient columns. This differs per dataset and therefore per model.
  - Considering using the model on a different dataset, `six` is probably easiest, as column names are `sugars_100g', 'proteins_100g', 'fat_100g', 'carbohydrates_100g', 'sodium_100g' . If not using `six`, you can infer the necessary columns from the model, as it will ask you for the exact same names.
- The name of the dataset is used to indicate on which dataset the model is trained, such as `leda` or `off`.

`oneclf` can be ignored.