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

The presence or absence of arrhythmias in the patient's medical history may provide insight into their likelihood of developing chronic heart failure. Patients with a history of arrhythmias (nr_11 = 'yes') may have a higher probability of developing chronic heart failure, compared to those with no history of arrhythmias (nr_11 = 'no').

To generate the dictionary, we will need to examine the myocardial infarction complications data and identify the possible values for the feature nr_11 for each target class (yes or no).

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

In this case, since the feature "nr_11" is a categorical variable with only two possible values ('yes' or 'no'), we can directly include those values in the dictionary regardless of their predictability.