% change

app.py

@@ -935,7 +935,7 @@ def predict_single(control_image, variant_image, business_model, customer_type,
         # Create enhanced output with confidence scores and training data info
         result = {
             "probability": f"{probability:.3f}",
-            "modelConfidence": f"{confidence_percentage:.1f}%",
+            "modelConfidence": f"{confidence_percentage:.1f}",
             "trainingDataSamples": confidence_data['training_data_count'],
             "totalPredictions": confidence_data['count'],
             "correctPredictions": confidence_data['correct_predictions'],
@@ -955,7 +955,7 @@ def predict_single(control_image, variant_image, business_model, customer_type,
         # Return error result with fallback confidence data
         return {
             "error": f"Prediction failed: {str(e)}",
-            "modelConfidence": "50.0%",
+            "modelConfidence": "50.0",
             "trainingDataSamples": 0,
             "totalPredictions": 0,
             "correctPredictions": 0,