Based on prior knowledge, we can analyze the relationship between the feature "Frequency" and the task of whether the person donated blood or not.

It is likely that individuals who donate blood regularly would have a higher frequency of donations compared to those who do not donate. Hence, we can expect higher values of "Frequency" for the target class "yes" (meaning the person donated blood) compared to the target class "no" (meaning the person did not donate blood).

Here is the generated markdown code snippet with the required details:

```json
{
	"yes": [15.0, 20.0, 25.0, 30.0, 35.0],
	"no": [2.0, 5.0, 8.0, 12.0, 14.0]
}
```

In this dictionary, we provide 5 typical float values for each target class "yes" and "no". Those values represent the frequency of blood donations, with higher values expected for "yes" (indicating blood donation) compared to "no" (indicating no blood donation).