Based on prior knowledge, we can analyze the relationship between the feature "nr_03" (Paroxysms of atrial fibrillation in the anamnesis) and the presence of chronic heart failure in myocardial infarction complications data.

1. If the feature value is "no", it suggests that the patient does not have paroxysms of atrial fibrillation in the anamnesis.
2. If the feature value is "yes", it suggests that the patient has paroxysms of atrial fibrillation in the anamnesis.

To determine if the patient shows chronic heart failure (target variable), we need further information about the myocardial infarction complications data. If there is a specific feature that indicates chronic heart failure, we should take that into consideration as well.

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

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

Since the feature "nr_03" is a categorical variable with only two possible categories, we include those values in the corresponding dictionaries for each target class.