Update app.py

app.py

@@ -57,13 +57,17 @@ def predict_performance(Location, Course, College, Faculty, Source, Event, Prese
     scaled_input = scaler.transform(df)
     
     # Make the prediction
-    prediction = model.predict_proba(scaled_input)[0][1]  # Get probability for positive class
+    prediction = model.predict(scaled_input)[0]
     
-    # Debug print 4: Show prediction details
-    print("\nPrediction details:")
-    print(f"Probability: {prediction}")
+    # Clip the prediction to be between 0 and 1
+    prediction = np.clip(prediction, 0, 1)
     
+    # Convert to percentage
     prediction_percentage = prediction * 100
+    
+    # Debug print
+    print("\nPrediction details:")
+    print(f"Raw prediction: {prediction}")
     print(f"Percentage: {prediction_percentage}")
     
     return f"Chance of Admission: {prediction_percentage:.1f}%"