Both training and validation error are high and similar. Which hypothesis should be investigated?

1. Underfitting or insufficient predictive features
2. A guarantee that more regularization will solve the problem
3. Overfitting proven solely by a tiny train-validation gap
4. Perfect deployment readiness because the errors match