Based on my prior knowledge, the feature "pdays" represents the number of days since the client was last contacted from a previous campaign. Typically, if a client has not been contacted before or a long time has passed since the last contact, they may be more likely to subscribe to a term deposit.

To analyze the relationship between the "pdays" feature and the task of whether the client subscribes to a term deposit, we can look at typical ranges of values for each target class.

- For the "no" class (client does not subscribe to a term deposit):
    - Typical "pdays" values could be: [300, 400, 500, 600, 700]

- For the "yes" class (client subscribes to a term deposit):
    - Typical "pdays" values could be: [0, 50, 100, 150, 200]

Based on this analysis, we can create the following dictionary:

```json
{
	"no": [300.0, 400.0, 500.0, 600.0, 700.0],
	"yes": [0.0, 50.0, 100.0, 150.0, 200.0]
}
```