Based on my prior knowledge and analysis, the feature "month" can be a relevant factor in determining whether a client subscribes to a term deposit or not.

Here is a dictionary with the possible values of the "month" feature for each target class:

```json
{
    "no": ["may", "jun", "jul", "aug", "oct", "nov", "dec"],
    "yes": ["mar", "apr", "sep"]
}
```

Clients who were not subscribed to a term deposit were contacted in months like May, June, July, August, October, November, and December. On the other hand, clients who subscribed to a term deposit were contacted in months like March, April, and September.

It is important to note that this analysis is purely based on the given feature information and may not provide a complete understanding of the relationship between the feature and the target variable. Further analysis and statistical modeling techniques may be required for a more accurate assessment.