```json
{
    "no": ["no"],
    "yes": ["yes"]
}
```
Because we are trying to determine whether the patient has chronic heart failure or not based on the feature "Symptomatic hypertension" (SIM_GIPERT), we can analyze the relationship between SIM_GIPERT and the target variable.

In this case, the feature SIM_GIPERT is a categorical variable with two possible categories: "no" and "yes". 

Based on prior knowledge, there is no direct indication that symptomatic hypertension (SIM_GIPERT) would have a clear relationship with chronic heart failure. Without any additional information, it is difficult to conclusively determine the relationship between SIM_GIPERT and chronic heart failure.

However, based on the given task, we need to determine if the patient has chronic heart failure or not. In this case, the value of SIM_GIPERT is not directly linked to the presence or absence of chronic heart failure. Since there is no clear correlation between SIM_GIPERT and the target variable, we cannot provide any specific details about the possible values of SIM_GIPERT for each target class. The dictionary will consist of the possible values of SIM_GIPERT for each target class, but in this instance, both target classes will have a single value: ["no"] for "no" class and ["yes"] for "yes" class.