Based on the feature description and task, we want to analyze whether the duration of arterial hypertension (DLIT_AG) is related to the presence of chronic heart failure. To do this, we need to examine the distribution of DLIT_AG values for each target class (yes or no).

Let's create a dictionary that shows the DLIT_AG values for each target class:

```json
{
	"no": ["there was no arterial hypertension", "more than 10 years", "6-10 years", "three years"],
	"yes": ["two years", "one year", "five years", "four years"]
}
```

In this case, we have included the values of DLIT_AG that are associated with the target class for both "yes" and "no". For the target class "no", the possible values of DLIT_AG are "there was no arterial hypertension", "more than 10 years", "6-10 years", and "three years". For the target class "yes", the possible values of DLIT_AG are "two years", "one year", "five years", and "four years".

Note that we have excluded the values that are hard to predict or not present in the dataset.