Based on prior knowledge, high levels of serum cholesterol are often associated with heart disease. However, it is important to establish the specific ranges of values that indicate the presence or absence of heart disease.

To perform this analysis, we need data on the serum cholesterol levels of patients who have undergone coronary angiography and have been diagnosed with heart disease or not. By examining this data, we can determine the appropriate ranges of cholesterol values for each target class.

Unfortunately, without access to the specific data, it is not possible to generate a dictionary with the exact cholesterol values for each target class. However, I can provide a general outline of how this dictionary could be created using typical cholesterol values for each class:

```json
{
	"no": [150.0, 170.0, 180.0, 190.0, 200.0],
	"yes": [220.0, 250.0, 260.0, 280.0, 300.0]
}
```

Please note that the values provided above are just examples and may not accurately represent the actual cholesterol thresholds for classifying heart disease. To obtain accurate results, it is essential to analyze the specific dataset and use statistical methods to determine the appropriate cholesterol ranges for each target class.