Based on prior knowledge, we can analyze the relationship between the feature "Recency" (months since last donation) and the task of whether the person donated blood or not.

One possible analysis approach is as follows:
- If the person recently donated blood, it is likely that they will not donate again in the near future, potentially leading to a "no" in the task.
- On the other hand, if the person has not donated blood for a long time, it may indicate their willingness to donate again, potentially leading to a "yes" in the task.

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

```json
{
	"yes": [0.5, 1.0, 2.5, 4.0, 6.0],
	"no": [10.0, 15.0, 20.0, 25.0, 30.0]
}
```

In this example, the "yes" class contains typical Recency values of recent months (0.5, 1.0, 2.5, 4.0, 6.0), indicating that people who donated blood in the recent past are likely to donate again. The "no" class contains typical Recency values of longer periods (10.0, 15.0, 20.0, 25.0, 30.0), indicating that people who have not donated blood for a while are less likely to donate again.

Please note that the values mentioned above are arbitrary and based on assumptions specific to this analysis. The actual values should be determined based on the dataset and further analysis.