After analyzing the relationship between the feature "inf_im" and the task of determining whether the patient shows chronic heart failure, we can create a dictionary with the possible "inf_im" values for each target class.

Based on prior knowledge, it is challenging to predict the relationship between the "inf_im" feature and the presence of chronic heart failure. However, we can still provide the possible values of "inf_im" for each target class:

```json
{
  "no": [
    "there is no infarct in this location",
    "QRS is like Qr-complex",
    "QRS is like QR-complex",
    "QRS has no changes",
    "QRS is like QS-complex"
  ],
  "yes": [
    "there is no infarct in this location",
    "QRS is like Qr-complex",
    "QRS is like QR-complex",
    "QRS has no changes",
    "QRS is like QS-complex"
  ]
}
```

Please note that the dictionary includes all possible values of the "inf_im" feature, as we cannot determine any specific relationship between these values and the presence of chronic heart failure.