A tuning job minimizes an objective metric, but the metric is validation accuracy. The selected model is unexpectedly poor. What should be corrected?

1. Increase the number of trials while keeping the wrong objective direction.
2. Disable validation because tuning already proves the model quality.
3. Use training-job duration as a synonym for validation accuracy.
4. Set the objective direction and metric extraction to match the desired evaluation measure.