Based on your task description and the feature "IBS_POST" which represents the different categories of coronary heart disease in recent weeks before hospital admission, we need to analyze the relationship between this feature and the presence of chronic heart failure.

To conduct the analysis, we need to examine the myocardial infarction complications data for patients with chronic heart failure and determine the possible values of the "IBS_POST" feature for each class (yes or no).

Let's assume we have the following data:

| IBS_POST                        | Chronic Heart Failure |
|---------------------------------|-----------------------|
| 'there was no СHD'              | No                    |
| 'exertional angina pectoris'    | No                    |
| 'unstable angina pectoris'      | Yes                   |
| 'there was no СHD'              | Yes                   |
| 'exertional angina pectoris'    | No                    |
| 'unstable angina pectoris'      | No                    |
| 'exertional angina pectoris'    | Yes                   |

Based on this data, we can now create the dictionary:

```json
{
	"no": ["there was no СHD", "exertional angina pectoris"],
	"yes": ["unstable angina pectoris", "there was no СHD", "exertional angina pectoris"]
}
```

Please note that the values of "IBS_POST" for the target class "no" are "there was no СHD" and "exertional angina pectoris", while the values for the target class "yes" are "unstable angina pectoris", "there was no СHD", and "exertional angina pectoris".

Let me know if there's anything else I can help you with!