Two experiments use different validation partitions, and one scores slightly higher. What is the best comparison approach?

1. Evaluate both on the same suitable held-out design and compare variability
2. Declare the higher number universally superior
3. Compare only file sizes
4. Use the first model's training score against the second model's test score