autogluon / autogluon/tabarena
[TabArena-v0.X] Try better fillna / cat encoding strategies for RF/XT/KNN
Open
TabArena-v0.X
- Dominant language
- Python
- Stars
- 303
- Forks
- 69
- Avg merge
- 1d 4h
- Merged PRs (30d)
- 49
Description
Try better fillna / cat encoding strategies for RF/XT/KNN
Currently ordinal encoding for RF/XT and fillna 0 for RF/XT/KNN.
KNN ignores categorical features.
Figure out what missing categories are assigned to for RF/XT.
Maybe try mean fillna + indicator for numeric.
Contributor guide
Research direction
Start by tracing the RF, XT, and KNN preprocessing entry points to identify where ordinal encoding and fillna 0 are applied. Compare alternative categorical and numeric missing-value strategies in the TabArena benchmark, verify how missing categories are assigned for RF/XT, and document the resulting model comparisons.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100