refactor: use train data if test data is empty for a cluster #466
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As we sample train data and test data, it can happen that test data in one of the clusters is empty that leads to spurious CI failures.
This approach uses train data for obtaining best model in a cluster if there is no test data available as a fallback instead of erroring.