What seems to be the problem?

Managing Uncertainty: When Spot returns a list of issues, it provides a prediction accompanied by a lower and upper bound. See Documentation. The bounds are intended to provide users with information about the uncertainty for a given prediction, allowing them to tailor their results to their use case and tolerance for error. The larger the distance between the lower bound and the prediction, the more likely it is that the prediction is overly optimistic about finding the issue. Conversely, the larger the difference between the prediction and the upper bound, the more likely it is that the prediction is under-estimating the chance that the issue is present. Users are encouraged to consider this when setting the cutoffs for triggering the return of an issue. For example, a user interested in avoiding false negatives may set Spot to return results based on the upper bound being greater than 50%, while one interested in avoiding false positives might choose to base their cutoff on the lower bound. The distance between the lower and upper bounds communicates something about the overall uncertainty around a prediction, with the most certain predictions being those with the smallest distances between the two.

Normally a developer making use of Spot would preset cutoffs for the prediction and its upper and lower bounds, but here you can set them yourself to get a sense for how they work to filter results.