Update app.py

app.py

@@ -57,15 +57,13 @@ def predict_performance(Location, Course, College, Faculty, Source, Event, Prese
     scaled_input = scaler.transform(df)
     
     # Make the prediction
-    prediction = model.predict(scaled_input)[0]
+    prediction = model.predict_proba(scaled_input)[0][1]  # Get probability for positive class
     
     # Debug print 4: Show prediction details
     print("\nPrediction details:")
-    print(f"Raw prediction: {prediction}")
-    prediction_probability = 1 / (1 + np.exp(-prediction))
-    print(f"Probability: {prediction_probability}")
+    print(f"Probability: {prediction}")
     
-    prediction_percentage = prediction_probability * 100
+    prediction_percentage = prediction * 100
     print(f"Percentage: {prediction_percentage}")
     
     return f"Chance of Admission: {prediction_percentage:.1f}%"