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superkart-sales-model
richugal/superkart-sales-model
superkart-sales-model is a tabular regression model from richugal. 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.
This artifact is a scikit-learn pipeline that preprocesses raw SuperKart product and store attributes and predicts ProductStoreSalesTotal.
Access
Public
Updated Jun 14, 2026
Repo size
16.2 MB
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Repo makeup
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.joblib16.2 MB · 100%
At a glance
- Task
- Tabular Regression
- Library
- scikit-learn
- Access
- Public
- Created
- Jun 14, 2026
- Updated
- Jun 14, 2026
- SHA
- 8b91d414
Model card
From the Hugging Face model README
SuperKart Sales Forecast Model
This artifact is a scikit-learn pipeline that preprocesses raw SuperKart product
and store attributes and predicts Product_Store_Sales_Total.
The model is selected by randomized hyperparameter search with 3-fold
cross-validation. Evaluation metrics and selected parameters are stored in
metrics.json.
Intended use
Use for educational sales forecasting demonstrations on data with the same schema as the SuperKart dataset. Predictions are planning estimates and should not be treated as guaranteed revenue.
- Task
- Tabular Regression
- Library
- scikit-learn
- Created
- Jun 14, 2026
- Updated
- Jun 14, 2026