Based on prior knowledge, we know that premature ventricular contractions (PVCs) are abnormal heartbeats that originate in the ventricles of the heart. PVCs can occur in individuals without any heart disease or underlying conditions, but they can also be associated with certain heart conditions, such as myocardial infarction (MI) and chronic heart failure (CHF).

To determine if the myocardial infarction complications data of this patient shows chronic heart failure, we need to analyze the relationship between the feature "nr_02" (Premature ventricular contractions in the anamnesis) and the target variable, which indicates the presence or absence of chronic heart failure.

Here's a dictionary that captures the relationship between the feature "nr_02" and the target variable:

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

Explanation:
- For the target class "no" (indicating absence of chronic heart failure), the feature "nr_02" takes the value "no".
- For the target class "yes" (indicating presence of chronic heart failure), the feature "nr_02" takes the value "yes".

Since the feature "nr_02" is a categorical variable with the categories "no" and "yes", we include these values in the dictionary for each respective target class. The lists for each target class are not empty, as they contain the possible values associated with chronic heart failure.