Based on prior knowledge, we can analyze the relationship between the feature "pdays" (number of days that passed by after the client was last contacted from a previous campaign) and the task of determining whether the client subscribes to a term deposit.

Typically, if a client has not been contacted for a long period, it may indicate that they are not interested in subscribing to a term deposit. On the other hand, if a client has been contacted recently, there might be a higher likelihood of subscription.

Here is the dictionary with the possible values of feature "pdays" for each target class:

```json
{
	"no": [0.0, 1.0, 2.0, 3.0, 4.0],
	"yes": [300.0, 301.0, 302.0, 303.0, 304.0]
}
```

Note that these values are just examples and may vary based on the dataset and specific analysis.