QA strategy for Data Science Project

We have data science features are ready and need to perform QA around features created by data scientist.

1. What can we consider as expected outcome throughout it as the result of every feature is unpredictable
2. What kinds of testing can be performed for Data Science QA
3. What standard process will be there for data science QA