Feat: SELECT APPROXIMATE queries with the error bounds

[taewhi]

Users want to be provided with approximate query results within the bounded error.
Unlike statistical sampling, it is difficult to estimate error bounds with ML models.
Even if such error bounds cannot be provided, we would like to choose one that satisfies the user-specified error bounds among the generated synopses or ML models.