Based on prior knowledge, we can analyze the relationship between the feature "previous" (number of contacts performed before this campaign and for this client) and the task of whether the client subscribes to a term deposit.

Thorough analysis of the relationship between the feature and task:
- If the number of previous contacts is higher, it might indicate that the client is more interested in subscribing to a term deposit.
- On the other hand, if the number of previous contacts is lower, it might suggest that the client is less interested or has not yet been convinced to subscribe.

Based on this analysis, we can create a dictionary with the values of the "previous" feature for each target class:

```json
{
	"no": [0.0, 1.0, 2.0, 3.0, 4.0],  
	"yes": [0.0, 1.0, 2.0, 3.0, 4.0]  
}
```
In this example, we have included 5 typical previous values for each target class ('no', 'yes'). Please note that the actual values in the list might vary based on the dataset and the range of values present in the feature.