The Adjusted Rand Index (ARI) will be used as the evaluation metric for this problem. The ARI is a measure of the similarity between two clusterings, and it ranges from -1 to 1. A value of 1 indicates perfect agreement between the two clusterings, while a value of -1 indicates perfect disagreement.
## Submission File
For each ID in the test set, you must predict a probability for the TARGET variable. The file should contain a header and have the following format:

```python
    CustomerID,Cluster
    2,0
    5,0
    6,0
```