Based on prior knowledge and analysis, the feature "campaign" represents the number of contacts performed during a campaign for a particular client. To determine the appropriate ranges of values, we can consider the average number of contacts typically made during a campaign.

We can conduct a thorough analysis by comparing the distribution of the "campaign" feature for clients who subscribed to a term deposit (target class yes) and those who did not (target class no).

Here is the dictionary with the requested information:

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

This dictionary shows some typical campaign values for both target classes. These values are represented as floats in lists. Note that the specific values may vary depending on the dataset and its characteristics.