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

Based on the feature description, the feature "fibr_ter_05" represents whether the patient received Fibrinolytic therapy by Streptase or not. To analyze the relationship between this feature and the presence of chronic heart failure (target variable), we can look at the incidence of chronic heart failure for different values of "fibr_ter_05".

Since this feature is a categorical variable with two possible categories ("no" and "yes"), we can evaluate the distribution of chronic heart failure cases for each category.
If the category "no" has a higher proportion of chronic heart failure cases, it indicates a potential relationship between not receiving Fibrinolytic therapy and the presence of chronic heart failure.

In this case, for the target task of determining whether the patient has chronic heart failure, we can create a dictionary with the following details:
- The category "no" represents patients who did not receive Fibrinolytic therapy by Streptase.
- The category "yes" represents patients who received Fibrinolytic therapy by Streptase.

Since there is no additional information about the relationship between these categories and chronic heart failure, we can include all possible values of "fibr_ter_05" within their respective target class.