Based on prior knowledge, the feature "endocr_02" which represents obesity in the patient's medical history, could potentially have a relationship with chronic heart failure. Obesity is known to be a risk factor for various cardiovascular diseases, including heart failure. Therefore, it is reasonable to assume that there might be a higher likelihood of chronic heart failure in patients with a history of obesity.

Considering the given task of determining whether the patient's myocardial infarction complications data shows chronic heart failure, we can analyze the relationship between the feature "endocr_02" and the target variable (presence or absence of chronic heart failure).

To generate the dictionary, we need to identify the possible values of the feature "endocr_02" for each target class (yes and no) in the myocardial infarction complications data.

Here is the dictionary:

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

Since the feature "endocr_02" only has two categories, "no" and "yes," we can include both of them in the dictionary. However, if there were additional hard-to-predict categories, we could exclude them if they are not present in the data.