Based on prior knowledge, chronic heart failure is more commonly seen in older individuals. Therefore, we can analyze the relationship between the feature AGE and the occurrence of chronic heart failure.

To generate the dictionary with specific details, we need to examine typical AGE values for each target class ('no' and 'yes') in relation to chronic heart failure.

Here is the dictionary with the requested format:

```json
{
    "no": [40.0, 45.0, 50.0, 55.0, 60.0],
    "yes": [65.0, 70.0, 75.0, 80.0, 85.0]
}
```

The values in the "no" list represent typical AGE values for patients without chronic heart failure, while the values in the "yes" list represent typical AGE values for patients with chronic heart failure. Note that these values are just examples and may vary depending on the specific dataset and characteristics of the population being studied.