Update app.py

app.py

@@ -186,7 +186,7 @@ def train_model(file, n_estimators, learning_rate, max_depth, subsample, progres
             # Evaluate
             y_pred = model.predict(X_test)
             accuracy = accuracy_score(y_test, y_pred)
-            report = classification_report(y_test, y_pred, zero<colgroup):
+            report = classification_report(y_test, y_pred, zero_division=0)
             accuracies[target_name] = accuracy
             
             results.append(f"**{target_name} Results**\n")