Based on prior knowledge, it is possible to analyze the relationship between the feature FK_STENOK (Functional class of angina pectoris in the last year) and the task of determining whether the myocardial infarction complications data of the patient show chronic heart failure.

To determine this relationship, we can examine the different categories of FK_STENOK and their distribution among the two target classes (yes and no). From there, we can identify the possible values of FK_STENOK for each target class.

Once we have this information, we can generate the dictionary with the requested format.

```json
{
	"no": ["there is no angina pectoris", "II FC", "I FC"],
	"yes": ["IV FC", "III FC."]
}
```

In this case, the categories "there is no angina pectoris", "II FC", and "I FC" are possible values of FK_STENOK for the target class "no" (no chronic heart failure). Similarly, the categories "IV FC" and "III FC." are possible values of FK_STENOK for the target class "yes" (chronic heart failure).