Chrun Rate yet again

[IBR-41379]

Describe your change:

• Add an algorithm?
• Fix a bug or typo in an existing algorithm?
• Documentation change?

Checklist:

• I have read CONTRIBUTING.md.
• This pull request is all my own work -- I have not plagiarized.
• I know that pull requests will not be merged if they fail the automated tests.
• This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
• All new Python files are placed inside an existing directory.
• All filenames are in all lowercase characters with no spaces or dashes.
• All functions and variable names follow Python naming conventions.
• All function parameters and return values are annotated with Python type hints.
• All functions have doctests that pass the automated testing.
• All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
• If this pull request resolves one or more open issues then the description above includes the issue number(s) with a closing keyword: "Fixes #ISSUE-NUMBER".

[IBR-41379]

Finally my all tests have passes

[cclauss]

I feel uncomfortable with this... https://en.wikipedia.org/wiki/Churn_rate describes the churn rate as a percentage over a given period such as 25% per year. This calculation is truncating the output for unspecified reasons and also does not deliver a percentage over a given period. The datafile is 10k lines which is quite substantial compared to other algorithms while the code delivers an output that is a bit baffling.

@tianyizheng02 @ChrisO345 Are you seeing something that I am not?

[IBR-41379]

Well for me, churn rate is the turnover rate of the customer from a company. This is a sample dataset I acquired from IBM skillset. Initially my program was simple with much more info. But due to various failing test(ruff, build) I had to modify quite a lot of thing, remove quite a lot of things to make it compatible. If this repo accepted jupyter notebooks, I could have shown in much more great detail. And the main purpose of the program is to show how decision tree classifier predicts.

[IBR-41379]

Well, my first first pull request is yet to be accepted. Let's see how it goes. Be sure to let me know what changes should I make.

[cclauss]

Please submit the original on https://github.com/TheAlgorithms/Jupyter and @mention me on that submission so perhaps we can land it there. They have much easier requirements.