Based on prior knowledge, we can analyze the relationship between the feature "nr_08" (Ventricular paroxysmal tachycardia in the anamnesis) and the target variable "chronic heart failure".

To determine whether the patient has chronic heart failure, we need to understand how the occurrence of ventricular paroxysmal tachycardia in the anamnesis relates to chronic heart failure.

Let's analyze the relationship using our prior knowledge:

- If the feature "nr_08" is "no" (meaning there is no ventricular paroxysmal tachycardia in the anamnesis), it is possible that the patient does not have chronic heart failure. However, it is not definitive proof, as other factors may contribute to chronic heart failure.
- If the feature "nr_08" is "yes" (indicating the presence of ventricular paroxysmal tachycardia in the anamnesis), it suggests a higher likelihood of chronic heart failure. Ventricular paroxysmal tachycardia can be a symptom or a consequence of chronic heart failure.

Based on this analysis, let's create the dictionary:

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

Please note that since the feature "nr_08" is a binary categorical variable, there are only two possible values: "no" and "yes". Both values are included in the dictionary for the corresponding target classes.