Based on my prior knowledge, I would expect that the feature pdays relates to the target variable as follows:

For the target class "no" (client does not subscribe to a term deposit), I would expect that the pdays values are generally higher, indicating a longer period of time since the client was last contacted. This makes sense because if a client has not been contacted for a long time, they might be less likely to subscribe to a term deposit.

For the target class "yes" (client subscribes to a term deposit), I would expect that the pdays values are generally lower, indicating a shorter period of time since the client was last contacted. This is because if a client has been recently contacted, they might be more receptive to subscribing to a term deposit.

Based on this analysis, I will generate a dictionary with the required format:

```json
{
	"no": [999.0, 998.0, 997.0, 996.0, 995.0],
	"yes": [0.0, 1.0, 2.0, 3.0, 4.0]
}
```