Based on prior knowledge, the relationship between age and chronic heart failure (CHF) can vary. However, in general, CHF tends to be more prevalent in older individuals. To conduct a thorough analysis, we need access to the actual dataset to determine the appropriate ranges of age and their association with CHF.

I'll assume that the data provided has already been analyzed, and we have identified the possible values of the AGE feature based on the target class (whether it shows chronic heart failure or not).

Based on this assumption, here's an example dictionary with the possible values of age for each target class:

```json
{
    "no": [53.0, 48.5, 40.2, 55.8, 59.1],
    "yes": [73.4, 80.0, 72.1, 83.5, 78.9]
}
```

Please note that the specific values provided in the dictionary are arbitrary and serve as placeholders until the actual dataset is available for analysis.