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

To analyze this relationship, we can examine how the different values of nr_11 correspond to having or not having chronic heart failure.

If there are "yes" values in nr_11, it indicates that there has been observing of arrhythmia in the anamnesis. Arrhythmia can be a potential risk factor for chronic heart failure. Therefore, it is likely that patients with "yes" values in nr_11 would show chronic heart failure.

On the other hand, if there are only "no" values in nr_11, it implies that there has been no observing of arrhythmia in the anamnesis. In this case, the likelihood of chronic heart failure can be lower compared to patients with arrhythmia history.

Overall, the relationship between nr_11 and chronic heart failure is as follows:

- For the target class "no" (no chronic heart failure), possible values of nr_11 can be ['no'].
- For the target class "yes" (chronic heart failure), possible values of nr_11 can be ['no', 'yes'].

Based on this analysis, we can create the dictionary:

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