Based on prior knowledge, the feature n_r_ecg_p_03 refers to the presence or absence of ventricular contractions on the electrocardiogram (ECG) at the time of admission to the hospital. The task is to determine if this patient with myocardial infarction complications has chronic heart failure.

To analyze the relationship between the feature and the target, we can look at the distribution of the feature values for each target class. Specifically, we will examine the possible values of n_r_ecg_p_03 for the target classes "no" and "yes" in chronic heart failure.

Possible values of n_r_ecg_p_03 for the target class "no" (indicating no chronic heart failure) might include:
- "no" (no ventricular contractions observed on ECG)
- other values (if there are additional categories indicating different types of ventricular contractions)

Possible values of n_r_ecg_p_03 for the target class "yes" (indicating chronic heart failure) might include:
- "yes" (ventricular contractions observed on ECG)
- other values (if there are additional categories indicating different types of ventricular contractions)

Based on this analysis, we can create the dictionary:

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

Note: If there are additional categories indicating different types of ventricular contractions, they can be included in the respective lists for each target class.