Based on the feature description and the task, we need to analyze how the feature "FK_STENOK" relates to the presence of chronic heart failure.

To perform this analysis, we can look at the distribution of the different values of "FK_STENOK" for patients with and without chronic heart failure.

Here is an analysis of the relationship between the feature and the target:

- If the patient has chronic heart failure ("yes" class), the possible values of "FK_STENOK" can be ['II FC', 'IV FC', 'III FC.'].
- If the patient does not have chronic heart failure ("no" class), the possible values of "FK_STENOK" can be ['there is no angina pectoris', 'II FC', 'I FC', 'III FC.'].

Based on this analysis, we can create the dictionary as follows:

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

Please note that the values in the dictionary are presented as strings in lists, and only the relevant values for each target class have been included in the dictionary.