from sklearn.metrics import accuracy_score, classification_report

def evaluate_model(model, X_test, y_test):
    """
    Evaluate the trained model on the test set.
    
    Args:
        model: Trained model.
        X_test (pd.DataFrame): Testing features.
        y_test (pd.Series): Testing labels.
        
    Returns:
        dict: Evaluation metrics.
    """
    y_pred = model.predict(X_test)
    accuracy = accuracy_score(y_test, y_pred)
    report = classification_report(y_test, y_pred)
    return {"accuracy": accuracy, "classification_report": report}