from sklearn.svm import SVC
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(classification_report(y_test, y_pred))