To determine the relationship between the "Oldpeak" feature and the presence of heart disease ("target" variable), we need to consider the typical ranges of values for patients with and without heart disease.

Typically, the "Oldpeak" value represents the amount of depression in the ST segment on an electrocardiogram (ECG) reading. It indicates the extent of ST segment deviation below baseline, and higher values are associated with more severe ischemia (lack of blood flow to the heart).

In the context of heart disease, we can consider the following analysis:

1. Target Class: No (No heart disease)
   - Typical Oldpeak values for "No" class: [0.0, 0.5, 1.0, 1.5, 2.0]
   - These values suggest some ECG abnormalities but not significant enough to indicate heart disease.

2. Target Class: Yes (Heart disease present)
   - Typical Oldpeak values for "Yes" class: [2.5, 3.0, 3.5, 4.0, 4.5]
   - Higher Oldpeak values in this class suggest more significant ST segment depression and increased likelihood of heart disease.

Based on this analysis, we can generate the required dictionary:

```json
{
	"no": [0.0, 0.5, 1.0, 1.5, 2.0],
	"yes": [2.5, 3.0, 3.5, 4.0, 4.5]
}
```