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

Based on the feature description, the feature "n_r_ecg_p_02" represents frequent premature atrial contractions on ECG at the time of admission to the hospital. 

To determine whether the myocardial infarction complications data of this patient shows chronic heart failure, we need to analyze the association between this feature and the target variable (presence or absence of chronic heart failure). 

The two possible categories for this feature are "no" (indicating no frequent premature atrial contractions) and "yes" (indicating frequent premature atrial contractions). 

Since the feature only has two categories, there are no hard-to-predict values. Therefore, we can create a dictionary with the possible values for each target class:

- For the target class "no" (indicating absence of chronic heart failure), the only possible value for the feature "n_r_ecg_p_02" is "no".
- For the target class "yes" (indicating presence of chronic heart failure), the only possible value for the feature "n_r_ecg_p_02" is "yes".