Based on prior knowledge, we can analyze the relationship between the feature n_r_ecg_p_05 and the presence of chronic heart failure in myocardial infarction complications data.

n_r_ecg_p_05 represents the presence of paroxysms of atrial fibrillation on an ECG at the time of admission to the hospital. Atrial fibrillation is a common cardiac arrhythmia and is associated with various cardiovascular conditions, including heart failure.

To determine the relationship between n_r_ecg_p_05 and chronic heart failure, we would need additional data on the presence of chronic heart failure in each patient. Without this information, we cannot definitively conclude whether the feature n_r_ecg_p_05 is indicative of chronic heart failure.

However, we can assume that the presence of paroxysms of atrial fibrillation might increase the likelihood of chronic heart failure in myocardial infarction patients. Therefore, it is possible that patients classified as "yes" for n_r_ecg_p_05 could have a higher probability of exhibiting chronic heart failure.

Considering the task, we can create a dictionary containing the possible values of the feature n_r_ecg_p_05 for each target class (yes and no) as follows:

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

Please note that since the feature n_r_ecg_p_05 is categorical with only two possible values, we can assign those exact values to each target class.