Based on prior knowledge, we can analyze the relationship between the feature "education level" and the target variable "subscribing to a term deposit".

Here is the analysis:

- Tertiary Education: Individuals with a higher level of education may be more likely to subscribe to a term deposit due to greater financial knowledge and stability.
- Secondary Education: This group may have a moderate likelihood of subscribing, as they might have some financial knowledge and stability but not as much as those with a tertiary education.
- Unknown Education: It is difficult to predict the likelihood of subscribing for individuals with unknown education levels, as their financial knowledge and stability are unknown.
- Primary Education: Individuals with a lower level of education may have a lower likelihood of subscribing to a term deposit due to potentially lower financial literacy and stability.

Based on this analysis, here is the dictionary:

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

Note that the values "unknown" and "primary" are listed under "no" because they have a lower likelihood of subscribing, while "tertiary" and "secondary" are listed under "yes" because they have a higher likelihood.