Based on my prior knowledge, I would expect that higher values of L_BLOOD may be indicative of chronic heart failure. 

To analyze the relationship between the L_BLOOD feature and the task of determining whether the myocardial infarction complications data shows chronic heart failure, I would look at the L_BLOOD values for both the "no" and "yes" classes. Specifically, I would examine the distributions of L_BLOOD values for these two classes and identify typical values that are indicative of each class.

Now, based on this analysis, I will generate the required dictionary:

```json
{
    "no": [4.0, 4.2, 4.4, 4.6, 4.8],
    "yes": [5.2, 5.5, 5.8, 6.0, 6.3]
}
```

Please note that these are just example values and may not accurately represent the actual relationship between L_BLOOD and the occurrence of chronic heart failure. It is essential to analyze the data thoroughly and consider domain knowledge to determine typical values for each target class.