Based on prior knowledge, we can analyze the relationship between the "campaign" feature and the target variable of whether the client subscribes to a term deposit.

In general, it is possible that higher values of the "campaign" feature may indicate a lower chance of the client subscribing to a term deposit. This is because multiple contacts during a campaign may indicate initial disinterest or hesitancy from the client, which could lead to a lower conversion rate.

To create a dictionary with specific details, we will consider 5 typical campaign values for each target class of "no" and "yes". Let's refer to the "no" class as clients who did not subscribe to a term deposit, and the "yes" class as clients who did subscribe to a term deposit.

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

Please note that these values are just examples and should be adjusted based on the actual distribution of campaign values in the dataset.