Based on prior knowledge, the relationship between age and chronic heart failure (CHF) can vary. CHF is more common in older individuals, so we can expect to see higher ages in patients with CHF compared to those without. However, it is important to note that CHF can occur in individuals of any age, so we should not exclude any range of ages entirely.

Based on this analysis, we can create a dictionary with possible age values for both target classes 'no' and 'yes' as follows:

```json
{
    "no": [20.0, 35.0, 45.0, 55.0, 65.0],
    "yes": [45.0, 55.0, 65.0, 75.0, 85.0]
}
```

These lists include 5 typical age values for each target class. The specific ranges and values chosen may vary depending on the dataset and domain knowledge, but this provides a general example.