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.

Since the feature "n_r_ecg_p_05" represents Paroxysms of atrial fibrillation on ECG at the time of admission to the hospital, it is possible that patients with chronic heart failure may have a higher likelihood of presenting with atrial fibrillation compared to those without chronic heart failure.

To generate the dictionary, we will examine the possible values of the "n_r_ecg_p_05" feature for each target class:

For the "no" target class, which indicates no presence of chronic heart failure, we can expect the following possible values for the "n_r_ecg_p_05" feature:

- 'no': indicating no paroxysms of atrial fibrillation on ECG at the time of admission to the hospital.

For the "yes" target class, which indicates the presence of chronic heart failure, we can expect the following possible values for the "n_r_ecg_p_05" feature:

- 'no': indicating no paroxysms of atrial fibrillation on ECG at the time of admission to the hospital.
- 'yes': indicating the presence of paroxysms of atrial fibrillation on ECG at the time of admission to the hospital.

Therefore, the generated dictionary would be:

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