```json
{
	"no": [1, 2, 3, 4, 5],
	"yes": [9, 10, 11, 12, 13]
}
```
In this case, I assumed that a higher numerical value of educational-num represents a higher level of education. Therefore, the 'no' class includes lower values such as 1, 2, 3, 4, and 5, which may correspond to individuals with less education or no education. On the other hand, the 'yes' class includes higher values such as 9, 10, 11, 12, and 13, which may represent individuals with higher levels of education, such as college graduates or postgraduates. Please note that these values are just examples and the actual values may vary depending on the dataset.