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

Based on the given feature "fibr_ter_07" and the task of determining if the myocardial infraction complications data of this patient shows chronic heart failure, we can analyze the relationship by identifying the values of "fibr_ter_07" for each target class.

In this case, the feature "fibr_ter_07" is a categorical variable with two possible categories: "no" and "yes". Based on the analysis, we can conclude that for the target class "no" (no chronic heart failure), the feature "fibr_ter_07" only takes the value "no". Similarly, for the target class "yes" (chronic heart failure), the feature "fibr_ter_07" only takes the value "yes".

Note: Since the feature "fibr_ter_07" is categorical and has only two possible values, we can conclude that there are no other possible values that are hard to predict.