```json
{
	"no": [1, 2, 3, 4, 5],
	"yes": [10, 11, 12, 13, 14]
}
```

Based on prior knowledge, we can assume that higher levels of education generally lead to higher incomes. Therefore, people with lower values of educational-num are more likely to earn less than 50000 dollars per year ('no' class), while those with higher values are more likely to earn more than 50000 dollars per year ('yes' class). In the given feature description, the educational-num is represented by numeric values, so we can infer the appropriate ranges of values for each class. The 'no' class could have values from 1 to 5, which may correspond to lower levels of education like elementary school, middle school, or high school. The 'yes' class could have values from 10 to 14, which may correspond to higher levels of education like university degrees or postgraduate studies.