Based on prior knowledge, the Recency feature, which represents the number of months since the last blood donation, can be analyzed in relation to the task of whether the person donated blood or not.

The relationship between the Recency feature and the target variable (whether the person donated blood or not) can be inferred as follows:

1. If the Recency value is 0, it means the person has donated blood in the current month. This is a strong indicator that the person has donated blood, so it is likely to be classified as 'yes'.

2. If the Recency value is small, such as 1-3 months, it suggests that the person donated blood recently. This also indicates a higher likelihood of classification as 'yes'.

3. If the Recency value is relatively large, such as 6-12 months, it may suggest that the person has not donated blood recently. This indicates a higher likelihood of classification as 'no'.

4. If the Recency value is very large, such as more than 12 months, it suggests that the person has not donated blood for a long time. This likely indicates a higher likelihood of classification as 'no'.

Based on these observations, the dictionary detailing the relationship between the Recency feature and the target variable can be created as follows:

```json
{
	"yes": [0.0, 0.5, 1.0, 2.0, 3.0],
	"no": [6.0, 8.0, 10.0, 12.0, 24.0]
}
```

In this dictionary, the "yes" key represents the possible values of the Recency feature for the target class "yes", while the "no" key represents the possible values for the target class "no". The values are presented as float numbers in lists.

Please note that the specific values mentioned above are just examples and may vary depending on the distribution of the actual data.