Based on prior knowledge, chronic bronchitis in the anamnesis (feature zab_leg_01) may have a relationship with the occurrence of chronic heart failure. To analyze this relationship, we need to examine the values of the feature zab_leg_01 for each target class (yes or no) and see if a pattern emerges.

Here is an analysis of the relationship between feature zab_leg_01 and the occurrence of chronic heart failure:

- If the value of zab_leg_01 is 'no' and the patient's myocardial infarction complications data shows chronic heart failure, this could suggest that there is no relationship between chronic bronchitis and chronic heart failure. However, it is also possible that the patient may have had chronic bronchitis in the past, but it is no longer present in the anamnesis, hence the value 'no'.

- If the value of zab_leg_01 is 'no' and the patient does not have chronic heart failure, this could suggest that there is no relationship between chronic bronchitis and chronic heart failure.

- If the value of zab_leg_01 is 'yes' and the patient's myocardial infarction complications data shows chronic heart failure, this could suggest that there is a relationship between chronic bronchitis and chronic heart failure. It may indicate that chronic bronchitis has contributed to the development of chronic heart failure.

- If the value of zab_leg_01 is 'yes' and the patient does not have chronic heart failure, this could suggest that there is no relationship between chronic bronchitis and chronic heart failure. However, it is also possible that the patient may have had chronic bronchitis in the past, but it is no longer present in the anamnesis, hence the value 'yes'.

Based on this analysis, we can create the following dictionary:

```json
{
	"no": ["no"],
	"yes": ["yes"]
}
```

In this case, the values of feature zab_leg_01 for each target class contain only one possible value.