Based on prior knowledge, we can assume that individuals who have donated blood more recently are more likely to donate again in the future. Therefore, we can expect a negative correlation between recency and the target variable (did the person donate blood).

Here is the analysis of the relationship between the feature (recency) and the task (did the person donate blood):

- Recency for target class 'yes' (donated blood):
  - Possible values: [0.5, 1.0, 2.0, 3.0, 4.0]

- Recency for target class 'no' (did not donate blood):
  - Possible values: [10.0, 12.0, 15.0, 20.0, 24.0]

Based on this analysis, the dictionary with the feature details can be generated as follows:

```json
{
	"yes": [0.5, 1.0, 2.0, 3.0, 4.0],
	"no": [10.0, 12.0, 15.0, 20.0, 24.0]
}
```