Based on prior knowledge, it is reasonable to assume that the quantity of myocardial infarctions in the anamnesis (INF_ANAM) would be related to the presence of chronic heart failure in the patient.

To analyze the relationship between the feature INF_ANAM and the task of determining whether the patient has chronic heart failure, we can examine the historical data or conduct a statistical analysis on the available data.

Here is a possible analysis:

- If the feature INF_ANAM is 'zero' (indicating no previous myocardial infarctions), the likelihood of chronic heart failure could be relatively low. 
- If the feature INF_ANAM is 'one' (indicating a single previous myocardial infarction), the risk of chronic heart failure might be moderate.
- If the feature INF_ANAM is 'two' or 'three and more' (indicating multiple previous myocardial infarctions), the risk of chronic heart failure could be high.

Based on this analysis, we can create a dictionary with the possible values of feature INF_ANAM for each target class (yes and no).

```json
{
	"no": ["one", "zero"],
	"yes": ["two", "three and more"]
}
```

This dictionary suggests that patients with a "one" or "zero" value for the feature INF_ANAM are less likely to have chronic heart failure, while patients with a "two" or "three and more" value are more likely to have chronic heart failure.