Based on prior knowledge, I can analyze the relationship between the feature "balance" and the target variable "Does this client subscribe to a term deposit?". 

In general, higher balance values may indicate a higher likelihood of a client subscribing to a term deposit. However, this relationship may not hold true for all cases. 

To create the dictionary with balance values for each target class, I will need information from the dataset. Without the dataset, I can only provide example ranges for the balance values.

```json
{
    "no": [0.0, 2000.0, 5000.0, 10000.0, 15000.0],
    "yes": [5000.0, 10000.0, 15000.0, 20000.0, 30000.0]
}
```

Please note that the actual ranges and values may differ once the dataset is analyzed.