What leaked out when one cracker

overlapped the other on your model?

1 answer

It seems like you're referencing a specific scenario or analogy, possibly related to overlapping concepts or ideas in a model. However, the phrase "one cracker overlapped the other" isn't a common idiom or expression.

If you're asking about how one idea or concept might influence or interact with another in a model, the "leakage" could refer to the blending of attributes, information, or effects between the two. In a data analysis or machine learning context, this might relate to feature interactions or the influence of one variable on another.

If you have a more specific context or scenario in mind, please clarify, and I'll be happy to help further!