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README.md

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 # Intended uses & limitations
 
-**Intended use:** Educational use, possible tool for exploring health data, research, and classification and interpretability techniques. The model performs very well for higher risk categories.
-
-**Not intended for:** Actual medical diagnosis or treatment decisions.
-
-**Limitations:** Normal-weight and neighboring overweight classes overlap, making them harder to classify. The data is also self-reported, whichmay lead to bias or inaccuracies.
+The intended use fot his model is educational use, possible tool for exploring health data, research, classification and interpretability techniques. The model performs very well for higher risk categories, but is less accurate for lower risk catergories. The model is Not intended for actual medical diagnosis or treatment decisions. Limitations include that normal-weight and neighboring overweight classes overlap, making them harder to classify. The data is also self-reported, which may lead to bias or inaccuracies.
 
 # Evaluation Results
 
-The model achieves approximately 87% accuracy. Its performance is strongest on more distinct obesity categories and weaker on categories that are closer together. A more complex model could lead to higher accuracy, but it would be less interpretable and harder to present to medical professionals.
+The model achieves approximately 87% accuracy. Its performance is strongest on more distinct obesity categories and weaker on categories that are closer together. A more complex model could lead to higher accuracy, but it would be less interpretable and harder to present to medical professionals. I would trust this model as a decision-support tool, but not as the sole basis for medical diagnosis because it can make mistakes. This model as a supportive screening tool, and would be beneficial to flag individuals who need to change their lifestyle habits. 

model.pkl

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