Based on prior knowledge, we can analyze the relationship between the Recency feature and the task of whether the person donated blood.

Generally, if a person has donated blood more recently, there is a higher chance that they will not donate again in the near future. On the other hand, if a person has not donated blood for a longer time, they may be more likely to donate.

Based on this analysis, we can create a dictionary representing the possible values of the Recency feature for each target class:

```json
{
	"yes": [2.0, 4.0, 5.0, 6.0, 8.0],
	"no": [10.0, 12.0, 15.0, 20.0, 25.0]
}
```

In this dictionary, the "yes" class represents the target class where the person donated blood, and the "no" class represents the target class where the person did not donate blood.

The values 2.0, 4.0, 5.0, 6.0, and 8.0 are typical Recency values for the "yes" class, indicating that the person donated blood. The values 10.0, 12.0, 15.0, 20.0, and 25.0 are typical Recency values for the "no" class, indicating that the person did not donate blood.