Update app.py

app.py

@@ -1,4 +1,3 @@
-
 import joblib
 import pandas as pd
 import numpy as np
@@ -42,19 +41,19 @@ def predict():
         # Predict probabilities
         proba = pipeline.predict_proba(sample_df)[0]
 
-        # Get top-20 indices
+        # Get top-20 indices (highest probabilities)
         top_20_idx = np.argsort(proba)[::-1][:20]
 
         results = []
         for idx in top_20_idx:
             choice_code = target_encoder.inverse_transform([idx])[0]
-            prob = proba[idx]
+            prob = proba[idx] * 100  # convert to %
             row = choice_code_map.loc[int(choice_code)]
             college_name = row['College Name']
             results.append({
                 "choice_code": choice_code,
-                "college_name": college_name,                
-                "probability": round(float(prob), 4)
+                "college_name": college_name,
+                "probability_percent": round(float(prob), 2)  # show as %
             })
 
         return jsonify({"top_20_predictions": results})