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

Typically, those who donate blood regularly are more likely to donate again in the future. Therefore, I would expect to see higher values of "Frequency" for individuals who have donated blood ("yes" class) compared to those who haven't ("no" class).

Based on this analysis, here is the dictionary:

```json
{
    "yes": [1.0, 2.0, 3.0, 4.0, 5.0],
    "no": [0.0, 0.0, 0.0, 0.0, 0.0]
}
```

In the "yes" class, the "Frequency" values could be 1.0, 2.0, 3.0, 4.0, and 5.0. These represent individuals who have donated blood multiple times. 

In the "no" class, the "Frequency" values are all 0.0. These represent individuals who haven't donated blood or have donated blood only once.

Please note that without the specific dataset, it is hard to determine the exact values for each target class. The provided dictionary is based on typical assumptions and should be updated with actual data for a more accurate analysis.