Based on prior knowledge, we can analyze the relationship between the feature "nr_01" (Premature atrial contractions in the anamnesis) and the presence of chronic heart failure (the target variable).

To determine if the myocardial infarction complications data of a patient show chronic heart failure, we need to analyze how the presence or absence of premature atrial contractions in the patient's history (nr_01) relates to chronic heart failure.

Analysis:

1. If a patient has "no" premature atrial contractions in the anamnesis (nr_01), it is possible that they do not have chronic heart failure. However, the absence of premature atrial contractions does not necessarily mean the absence of chronic heart failure. There could be other factors contributing to chronic heart failure.

2. If a patient has "yes" premature atrial contractions in the anamnesis (nr_01), there could be a higher likelihood of chronic heart failure. However, the presence of premature atrial contractions does not guarantee the presence of chronic heart failure. Other factors need to be considered as well.

Based on the above analysis, we can create the dictionary as follows:

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

In this case, we include all possible values of feature nr_01 for both target classes, even though they are the same in this scenario.