iiitl / iiitl/Linear-Regression
Scaling strategy comparison for model stability
Open
library
medium
- Dominant language
- Jupyter Notebook
- Stars
- 0
- Forks
- 36
- PR merge metrics
- No merged PRs in 30d
Description
Compare model performance for three preprocessing setups: no scaling, StandardScaler, and MinMaxScaler.
Report a single comparison table and state which setup is most stable and why.
Contributor guide
Research direction
Start by finding the repository's notebook and the existing model evaluation workflow. Run the same evaluation for no scaling, StandardScaler, and MinMaxScaler, then produce one comparison table and explain which setup is most stable and why.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, scikit-learn
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 55/100