Based on my prior knowledge, I can analyze the relationship between the feature 'pdays' and the task of whether the client subscribed to a term deposit.

Analysis:
- If the client has not been contacted in the previous campaign, the value of 'pdays' will be very high or equal to 999.
- If the client has been contacted recently, the value of 'pdays' will be low or equal to 31.
- Lower 'pdays' values indicate that the client was contacted more recently, which may increase the likelihood of subscribing to a term deposit.

Based on this analysis, here is the dictionary representing the relationship between 'pdays' and the target class:

```json
{
	"no": [999.0, 999.0, 999.0, 999.0, 999.0],  
	"yes": [1.0, 2.0, 3.0, 4.0, 5.0] 
}
```

Please note that the specific values in the lists for each target class may vary depending on the dataset used, but the general idea remains consistent.