Based on my prior knowledge, I will analyze the relationship between the feature ALT_BLOOD and the task of determining whether the patient shows chronic heart failure.

Myocardial infarction (MI) is a condition characterized by the blockage of blood flow to the heart muscle, resulting in tissue damage. ALT (Alanine Aminotransferase) is an enzyme primarily found in the liver and plays a crucial role in the metabolism of amino acids.

In the context of myocardial infarction complications, elevated levels of ALT in the blood may indicate liver dysfunction or damage. This, in turn, can contribute to the development of chronic heart failure (CHF) as the compromised liver function can lead to fluid retention and other systemic effects.

Therefore, it is reasonable to assume that higher levels of ALT in blood may be associated with the presence of chronic heart failure in the patient.

To create the dictionary with typical ALT_BLOOD values for each target class, we need to analyze the ALT_BLOOD values for patients with and without chronic heart failure.

Let's assume that for the target class "no" (patients without chronic heart failure), typical ALT_BLOOD values range from 10 to 30.

Similarly, for the target class "yes" (patients with chronic heart failure), typical ALT_BLOOD values range from 40 to 60.

Using these ranges, we can create the dictionary as follows:

```json
{
    "no": [10.0, 15.0, 20.0, 25.0, 30.0],
    "yes": [40.0, 45.0, 50.0, 55.0, 60.0]
}
```

Please note that these are just hypothetical values based on the assumed relationship between ALT_BLOOD and chronic heart failure. The actual data should be analyzed using statistical methods and domain expertise to draw more accurate conclusions.