Based on my prior knowledge, I can analyze the relationship between the feature "campaign" and the target variable "subscribe to a term deposit". 

It is likely that clients who have been contacted a significant number of times during the campaign may be less likely to subscribe to a term deposit. On the other hand, clients who have been contacted a few times or have not been contacted at all might be more likely to subscribe.

Here is the dictionary with specific details:

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

In this dictionary, for the target class "no" (clients who do not subscribe to a term deposit), typical campaign values could be [1.0, 2.0, 3.0, 4.0, 5.0]. These values indicate that clients who were contacted 1-5 times during the campaign are less likely to subscribe.

For the target class "yes" (clients who subscribe to a term deposit), typical campaign values could also be [1.0, 2.0, 3.0, 4.0, 5.0]. These values suggest that even when clients have been contacted a few times (1-5), they are more likely to subscribe to a term deposit.

Please note that the values provided are just examples and may vary depending on the specific dataset and its characteristics.