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superkart-sales-rf
SabarnaDeb/superkart-sales-rf
superkart-sales-rf is a tabular regression model from SabarnaDeb. Use it for the tabular regression task on the model card, and read the license before you ship it in a product. It is set up for scikit-learn.
A tuned scikit-learn Pipeline (preprocessing + RandomForestRegressor) trained on SuperKart.
Access
Public
Updated Feb 8, 2026
Repo size
254 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.joblib66.8 MB · 100%
At a glance
- Task
- Tabular Regression
- Library
- scikit-learn
- Access
- Public
- Created
- Feb 3, 2026
- Updated
- Feb 8, 2026
- SHA
- 0ba3c067
Model card
From the Hugging Face model README
SuperKart Sales Prediction (RandomForest)
What this is
A tuned scikit-learn Pipeline (preprocessing + RandomForestRegressor) trained on SuperKart.
Test Metrics
- RMSE: 275.9938310883856
- MAE: 108.35753917010179
- R2: 0.9325172015457704
How to load
import joblib
from huggingface_hub import hf_hub_download
repo_id = "SabarnaDeb/superkart-sales-rf"
path = hf_hub_download(repo_id=repo_id, filename="superkart_best_model.joblib")
model = joblib.load(path)
# X is a pandas DataFrame with the same feature columns used in training
preds = model.predict(X)
- Task
- Tabular Regression
- Library
- scikit-learn
- Created
- Feb 3, 2026
- Updated
- Feb 8, 2026