Based on prior knowledge, we can analyze the relationship between feature "nr_11" and the task of determining whether the myocardial infarction complications data of the patient shows chronic heart failure.

If "nr_11" value is "no", it means that there is no observing of arrhythmia in the anamnesis. On the other hand, if "nr_11" value is "yes", it indicates the presence of observing arrhythmia in the anamnesis.

To generate the dictionary, we need to consider the possible values of feature "nr_11" for each target class (yes or no). Here is the dictionary based on the analysis:

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

Please note that for this specific analysis, we only consider the exact matching values of "nr_11" for each target class. Other possible values of "nr_11" are not included in the dictionary as they were mentioned to be hard to predict.