Based on my prior knowledge, the campaign feature represents the number of contacts performed during a specific campaign for a client. The relationship between the campaign feature and the target variable, whether the client subscribes to a term deposit or not, can be analyzed as follows:

1. Clients with a lower number of contacts in the campaign may be less likely to subscribe to a term deposit.
2. Clients with a higher number of contacts in the campaign may be more likely to subscribe to a term deposit.
3. There might be some threshold values of the campaign where the chances of subscribing to a term deposit are higher or lower.

Based on this analysis, let's generate the requested dictionary:

```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 case, I have assumed that typical campaign values for both target classes, 'no' and 'yes', can range from 1 to 5.