Based on prior knowledge and understanding of the feature and task, we can analyze the relationship between the feature "nr_03" and the presence of chronic heart failure in a patient.

The feature "nr_03" represents the presence of paroxysms of atrial fibrillation in the patient's medical history and is a categorical variable with two categories: 'no' and 'yes'.

To determine if the myocardial infarction complications data of a patient shows chronic heart failure, we need to analyze if there is any relationship between the presence of paroxysms of atrial fibrillation (nr_03) and the occurrence of chronic heart failure.

To conduct this analysis, we would need access to a dataset that includes information on the presence or absence of chronic heart failure for each patient, as well as the value of the feature "nr_03" for each patient.

Based on the available information, we can construct a dictionary with the following format:

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

Explanation:
- For the target class "no", the only possible value of the feature "nr_03" is "no".
- For the target class "yes", both "no" and "yes" are possible values of the feature "nr_03".

Please note that this analysis is based on the provided information, and the actual relationship between the feature "nr_03" and chronic heart failure could vary depending on the dataset and other factors.