Update app.py

app.py

@@ -8,7 +8,7 @@ model = joblib.load(model_path)
 
 # Define the prediction function
 def predict_ckd_severity(age, c3, c4):
-    c3_c4_ratio = c3 / c4
+    c3_c4_ratio = round(c3 / c4, 2)
     features = np.array([[age, c3, c4, c3_c4_ratio]])
     prediction = model.predict(features)[0]
     probability = model.predict_proba(features)[0][prediction] * 100
@@ -18,7 +18,6 @@ def predict_ckd_severity(age, c3, c4):
     else:
         adjusted_probability = ((probability - 50) / 50) * 100
     
-    adjusted_probability = 2 * adjusted_probability
     
     if prediction == 1:
         result = f"The CKD status is most likely to progress into Severe (1). The probability is {adjusted_probability:.2f}%."