Based on my prior knowledge, the marital status can be a useful feature in predicting whether a client will subscribe to a term deposit or not. Certain marital statuses may be more inclined to subscribe, while others may not.

Based on this analysis, here is the dictionary representing the relationship between the marital feature and the target variable:

```json
{
	"no": ["married", "single", "divorced"],
	"yes": ["married", "single", "divorced"]
}
```

In this case, all the possible values of the marital feature are included for both the "no" and "yes" target classes.