ENH: Add confusion_matrix_statistics function in contingency_tables

[pasrakan]

• tests added / passed.
• code/documentation is well formatted.
• properly formatted commit message. See
  NumPy's guide.

• This commit generates classification performance metrics using square tables. The metrics include Accuracy, No Information Rate, Kappa, Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value, Balanced Accuracy, and F1. The code draws inspiration from Caret package in R

• The overall metrics are structured in a dictionary.

• The class-specific metrics output is structured in rows representing different metrics and columns representing different classes (class 1, class 2, class 3, class 4).

• The test values are verified with confusionMatrix function in Caret package in R.

[pep8speaks]

Hello @pasrakan! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found:

There are currently no PEP 8 issues detected in this Pull Request. Cheers! 🍻

Comment last updated at 2024-02-23 22:42:29 UTC

[pasrakan]

Hi @bashtage ! Could you please review my Pull Request? It has been open for more than one month, and I would appreciate your feedback. Thank you!