Based on prior knowledge, premature ventricular contractions (PVCs) can be a symptom or indicator of myocardial infarction (MI) and can potentially lead to chronic heart failure (CHF). However, it is important to note that not all individuals with PVCs will develop CHF, as this can depend on various factors such as the severity and frequency of PVCs, the presence of underlying heart disease, and individual patient characteristics.

To analyze the relationship between the feature "nr_02" (Premature ventricular contractions in the anamnesis) and the task of determining if the patient shows chronic heart failure, we can examine the distribution of "nr_02" values for each target class.

Let's consider the possibilities:

- If the target class is "no" (indicating no chronic heart failure), the possible values of "nr_02" may include:
  - "no" (meaning no premature ventricular contractions in the anamnesis)
  - "yes" (indicating the presence of premature ventricular contractions in the anamnesis)

- If the target class is "yes" (indicating chronic heart failure), the possible values of "nr_02" may include:
  - "yes" (indicating the presence of premature ventricular contractions in the anamnesis)

Based on this analysis, the dictionary would be:

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

Note: Since the categories for "nr_02" are binary ("no" and "yes"), we include both "no" and "yes" for the "no" target class as the category "no" represents the absence of premature ventricular contractions in the anamnesis.