Based on my prior knowledge, fibr_ter_08 is a feature that represents whether the patient received Fibrinolytic therapy by Streptodecase 1.5m IU or not. To determine whether the patient shows chronic heart failure, we need to analyze the relationship between fibr_ter_08 and the target class.

To conduct this analysis, we can examine the distribution of fibr_ter_08 values for each target class. We will determine the possible values of fibr_ter_08 for the 'no' and 'yes' classes.

Here is the dictionary:

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

From the analysis, we can see that for the target class 'no' (patients without chronic heart failure), the only possible value of fibr_ter_08 is 'no'. However, for the target class 'yes' (patients with chronic heart failure), both 'no' and 'yes' are possible values for fibr_ter_08.

Please note that the dictionary includes all possible values for each target class, even if some values may be harder to predict.