Update README.md

README.md

@@ -33,16 +33,15 @@ This model is intended for educational and demonstrational purposes only. It tak
 - **Data Bias:** The model's knowledge is limited to the `gretelai/symptom_to_diagnosis` dataset. It cannot predict any condition outside of its 22-class training data and may perform poorly on symptom descriptions that are stylistically different from the training set.
 - **Correlation, Not Causation:** The model learns statistical correlations between words and labels. It has no true understanding of biology or medicine.
 
-## How to Use
-
-To use this model, you must load the feature extractor (`Bio_ClinicalBERT`), the LightGBM classifier, and the label encoder.
-
 ## Training Data
 This model was trained on the gretelai/symptom_to_diagnosis dataset, which contains ~1000 symptom descriptions across 22 balanced classes.
 
 ## Evaluation
 The model achieves a Macro F1-score of 0.834 and an Accuracy of 0.835 on the test set.
 
+## How to Use
+To use this model, you must load the feature extractor (`Bio_ClinicalBERT`), the LightGBM classifier, and the label encoder.
+
 ```python
 import torch
 import joblib