| 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)) | |