Update svm.py

svm.py

@@ -12,5 +12,5 @@ svm_model = SVC(kernel='linear', random_state=42)
 svm_model.fit(X_train_tfidf, y_train)
 y_pred = svm_model.predict(X_test_tfidf)
 accuracy = accuracy_score(y_test, y_pred)
-print(f"Random Forest Accuracy: {accuracy:.4f}")
+print(f"Accuracy: {accuracy:.4f}")
 print(classification_report(y_test, y_pred))