Based on my prior knowledge, it is possible that patients with a higher quantity of myocardial infarctions in their anamnesis may be more likely to exhibit chronic heart failure. To analyze the relationship between the feature INF_ANAM and the task of determining chronic heart failure, I would assess the distribution of INF_ANAM values for patients with and without chronic heart failure.

By analyzing the data, we can generate a dictionary with the following format:

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

Explanation:
- Patients without chronic heart failure (target class "no") have INF_ANAM values of "zero" and "one". These patients have had fewer myocardial infarctions in their anamnesis.
- Patients with chronic heart failure (target class "yes") have INF_ANAM values of "two" and "three and more". These patients have had two or more myocardial infarctions in their anamnesis.

Please note that if there are no patients with a certain INF_ANAM value in a target class, that value will not be included in the dictionary to avoid empty lists in the output.