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

Based on the given feature description and task, it appears that there is a direct relationship between the feature "fibr_ter_05" and the presence of chronic heart failure. 

The feature "fibr_ter_05" represents whether the patient received Fibrinolytic therapy by Streptase, and it is a categorical variable with two possible values: "no" and "yes". 

From the available information, if the value of "fibr_ter_05" is "no", it suggests that the patient did not receive Fibrinolytic therapy by Streptase. On the other hand, if the value is "yes", it indicates that the patient did receive this therapy.

To determine if the patient has chronic heart failure, we need additional data or features specific to chronic heart failure. However, based solely on the given feature and task, we can conclude that the "fibr_ter_05" feature does not provide direct evidence as to whether the patient has chronic heart failure.

The dictionary provided above simply lists the possible values of the feature "fibr_ter_05" for each target class (no and yes). Since there is no information on how these values relate to chronic heart failure, the dictionary contains the exact same values ("no" and "yes") for both target classes.