Based on prior knowledge, we can analyze the relationship between the feature "nr_11" (Observing of arrhythmia in the anamnesis) and the occurrence of chronic heart failure in myocardial infarction complications data.

If the patient has a history of arrhythmia (nr_11 = "yes"), it is more likely that they may have chronic heart failure. On the other hand, if there is no history of arrhythmia (nr_11 = "no"), it is less likely to have chronic heart failure.

Based on this analysis, we can create the following dictionary:

```json
{
	"no": ["no"],
	"yes": ["yes"]
}
```

Explanation:
- For the target class "no" (chronic heart failure not present), the only possible value for nr_11 is "no".
- For the target class "yes" (chronic heart failure present), the only possible value for nr_11 is "yes".

This dictionary reflects the relationship between the feature "nr_11" and the presence/absence of chronic heart failure in the myocardial infarction complications data.