use random forest

app/main.py

@@ -182,7 +182,7 @@ async def get_answer(item: Item, token: str = Depends(verify_token)):
         raise HTTPException(status_code=500, detail=str(e))
 
 # naive bayes
-model = joblib.load('app/1713647269.2152328_trained_model.joblib')
+model = joblib.load('app/1713636876.7965496_trained_model.joblib')
 pca = joblib.load('app/pca.pkl')
 scaler = joblib.load('app/1713647369.8499982_scaler.joblib')
 label_encoder = joblib.load('app/1713647371.7307763_label_encoder.joblib')