About the project
ANFIS vs Classical ML puts an Adaptive Neuro-Fuzzy Inference System next to SVM and Random Forest on two real datasets — wine quality (classification) and concrete compressive strength (regression) — and measures them on identical splits with a single seed.
What it demonstrates
- ANFIS implemented, not imported
- Rules exported as JSON
- Membership functions plotted
- Both task types on the same footing
- Scaling inside the pipeline
Stack
- Python
- TensorFlow
- scikit-learn
- pandas
- Streamlit