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.

Analyzing the relationship:

- It is possible that clients who have been previously contacted more often are more likely to subscribe to a term deposit. This could indicate that repeated contacts have a positive impact on the likelihood of subscription.
- On the other hand, it is also possible that clients who have been previously contacted too many times may feel annoyed or disinterested, leading to a lower chance of subscription.

Creating the dictionary:

```json
{
    "no": [0.0, 1.0, 2.0, 3.0, 4.0],
    "yes": [0.0, 1.0, 2.0, 3.0, 4.0]
}
```

For the "no" class (clients who did not subscribe to a term deposit), typical previous values could be [0.0, 1.0, 2.0, 3.0, 4.0]. This range covers the most common values indicating fewer prior contacts for non-subscribed clients.

For the "yes" class (clients who subscribed to a term deposit), typical previous values could be [0.0, 1.0, 2.0, 3.0, 4.0]. This range covers the most common values indicating a moderate level of prior contacts for subscribed clients.

Please note that without access to the specific dataset, these values are based on general assumptions and should be verified with actual data.