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Machine Learning Model Card Writer

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Prompt

Write a Model Card for my machine learning model.

Model name: [MODEL NAME]
Model type: [e.g. Random Forest classifier, LSTM, XGBoost regressor]
Task: [WHAT THE MODEL PREDICTS OR CLASSIFIES]
Training data: [DESCRIBE TRAINING DATA — size, source, date range]
Features used: [LIST KEY FEATURES]
Target variable: [TARGET COLUMN AND TYPE]

Performance metrics:
[PASTE YOUR EVAL METRICS, e.g. accuracy: 0.87, F1: 0.83, AUC: 0.91]

Known limitations: [ANY KNOWN ISSUES OR BLIND SPOTS]
Intended use: [WHO SHOULD USE THIS AND FOR WHAT]
Out-of-scope use: [WHAT THIS MODEL SHOULD NOT BE USED FOR]

Please write a complete model card with sections:
- Model Description
- Intended Use
- Training Data & Process
- Evaluation Results (format metrics as a table)
- Limitations & Risks
- Ethical Considerations
- How to Use (code snippet)
- Contact / Maintainer
Generate sample demo data

Generic sample context ready for adaptation.

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