Based on the feature description and the task, we need to analyze the relationship between the "ant_im" feature and the presence of chronic heart failure in patients.

To do this analysis, we would need a dataset that includes both the "ant_im" feature and the information about whether the patient has chronic heart failure or not. Without access to the dataset, we can still analyze the feature based on the given description.

Looking at the categories of the "ant_im" feature, we can make some assumptions about the relationship with chronic heart failure:

1. "QRS is like QS-complex": This category suggests the presence of a myocardial infarction in the anterior region of the heart. It is hard to determine the relationship with chronic heart failure without further information.

2. "QRS has no changes": This category suggests no changes in the QRS complex, indicating no infarction in the anterior region. This could imply a lower likelihood of chronic heart failure.

3. "there is no infarct in this location": This category explicitly states that there is no infarction in the anterior location. This would also suggest a lower likelihood of chronic heart failure.

4. "QRS is like QR-complex": This category suggests the presence of a myocardial infarction in the anterior region of the heart. It is hard to determine the relationship with chronic heart failure without further information.

5. "QRS is like Qr-complex": This category suggests the presence of a myocardial infarction in the anterior region of the heart. It is hard to determine the relationship with chronic heart failure without further information.

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

```json
{
	"no": ["QRS has no changes", "there is no infarct in this location"],
	"yes": ["QRS is like QS-complex", "QRS is like QR-complex", "QRS is like Qr-complex"]
}
```

Please note that the values included in the dictionary are based on assumptions and the given feature description. The actual relationship between the feature and chronic heart failure can only be accurately determined with access to the dataset and proper analysis.