Based on my prior knowledge, angina pectoris is chest pain or discomfort that occurs when the heart muscle does not receive enough blood. Functional class of angina pectoris is used to measure the severity of angina symptoms. 

Analyzing the relationship between the feature FK_STENOK (Functional class of angina pectoris in the last year) and the task of determining if the patient shows chronic heart failure, we can consider the following insights:

1. "There is no angina pectoris": This category suggests the absence of angina symptoms, indicating a lower likelihood of chronic heart failure. Hence, it may be relevant to the target class "no".

2. "II FC" (Functional Class II): This category represents mild angina symptoms with slight limitation in physical activity. It may not directly indicate chronic heart failure, but it can be present in both cases (yes or no).

3. "IV FC" (Functional Class IV): This category represents severe angina symptoms with the inability to perform any physical activity without discomfort. It does not directly imply chronic heart failure, but it could be more likely to be present in the target class "yes" due to the severity of angina symptoms.

4. "I FC" (Functional Class I): This category represents angina symptoms with no limitation in ordinary physical activity. It may not directly indicate chronic heart failure, but it can be present in both cases (yes or no).

5. "III FC" (Functional Class III): This category represents angina symptoms with marked limitation in ordinary physical activity. It may not directly indicate chronic heart failure, but it can be present in both cases (yes or no).

Based on these insights, we can create the following dictionary:

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

Please note that the description of the "III FC" category has a period (.) at the end, which is included in the list value in the dictionary.