In order to calculate metrics against Findit's check flake feature for determining historical flakiness, each check flake analysis needs metadata captured for later querying.

Need a data model that contains all relevant metrics, such as:
- Average duration of a check flake analysis
- Detection rate
- Accuracy rate
- Error rate
- Algorithm parameter effectiveness
- Number of tasks per day
- Average number of builds analyzed
etc.