Based on prior knowledge, we can analyze the relationship between the "education" feature and the task of whether the client subscribes to a term deposit. 

Here is the dictionary with the details:

```json
{
	"no": ["unknown"],  
	"yes": ["tertiary", "secondary", "primary"]
}
```

Explanation:
- The "unknown" education level is included in the "no" list because it is hard to predict whether a client with unknown education level would subscribe to a term deposit.
- The education levels "tertiary", "secondary", and "primary" are included in the "yes" list because clients with these education levels have a higher chance of subscribing to a term deposit according to our analysis.