```json
{
	"yes": [25.0, 27.0, 29.0, 31.0, 33.0],
	"no": [38.0, 40.0, 42.0, 44.0, 46.0]
}
```
Based on prior knowledge and without any specific dataset, it is difficult to determine the exact appropriate ranges for the feature "age" in determining whether a person receives credit or not. However, assuming that younger people are more likely to receive credit due to having longer credit histories and higher earning potential, and older people are more likely to be denied credit due to potential retirement or lower income levels, we can provide a dictionary with 5 typical age values for each target class.