Based on prior knowledge, the feature "campaign" represents the number of contacts performed during the campaign for a particular client. To analyze the relationship between this feature and the task of whether the client subscribes to a term deposit or not, we can explore the distribution of campaign values for each target class.

Here is a dictionary containing the campaign values for each target class:

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

These values represent typical campaign values for each target class. However, please note that this is a hypothetical example and the actual values may vary based on the specific dataset and analysis.