Based on prior knowledge, the presence of arrhythmia in the anamnesis (feature: nr_11) can be a potential indicator of chronic heart failure (target variable: myocardial infarction complications data).

To analyze the relationship between the feature and the task, we can consider the following:

1. If the value of nr_11 is "no", it indicates that there is no observation of arrhythmia in the anamnesis. In this case, the patient is less likely to have chronic heart failure.
2. If the value of nr_11 is "yes", it indicates that there is observation of arrhythmia in the anamnesis. In this case, the patient is more likely to have chronic heart failure.

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

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

Since the feature nr_11 is a categorical variable with categories "no" and "yes", the corresponding values represent the possible values for each target class. In this case, for the target class "no", only the value "no" is possible, and for the target class "yes", only the value "yes" is possible.