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

Based on the description of the feature, "n_r_ecg_p_02" represents the occurrence of frequent premature atrial contractions on ECG at the time of admission to the hospital. In this case, the feature is a categorical variable with two possible values: "no" and "yes".

To determine if the patient exhibits chronic heart failure, we need to analyze the relationship between the feature and the target variable. From the given data, we can see that the feature values "no" and "yes" directly represent the presence or absence of frequent premature atrial contractions.

Therefore, if the feature value for n_r_ecg_p_02 is "no", it implies the absence of frequent premature atrial contractions, which indicates that the patient does not show chronic heart failure. On the other hand, if the feature value is "yes", it indicates the presence of frequent premature atrial contractions, suggesting the possibility of chronic heart failure.

Since the possible values of n_r_ecg_p_02 for both target classes are clearly defined as "no" and "yes", the dictionary includes lists containing these values accordingly.