feat(core): Performance Matrices for Predictive Maintenance in Time Series

[shortthirdman]

🚀 Changes proposed by this PR

This PR introduces performance matrices for evaluating predictive maintenance models in time series analysis. It includes the implementation of key metrics that assess model accuracy, efficiency, and reliability, providing a comprehensive framework for performance evaluation in predictive maintenance tasks.

🔗 Related bug reports/feature requests

• implements feature for Predictive Maintenance using Performance Matrices for TSA

🧰 Type of change

• Bug fix (non-breaking change which fixes an issue).
• New feature (non-breaking change which adds functionality).
• Breaking change (fix or feature that causes existing functionality to not work as expected).
• This change requires (or is) a documentation update.

📝 Notes to reviewer

Jupyter notebook executed without any issues or warnings

🤝 Requirements

• ✍ I have read and agree to this projects Code of Conduct.
• ✍ I have read and agree to this projects Contribution Guidelines.
• ✍ I have read and agree to the Developer Certificate of Origin.
• 🔎 I have performed a self-review of my own changes.
• 🎨 My changes follow the style guidelines of this project.

• 💬 My changes as properly commented, primarily for hard-to-understand areas.
• 📝 I have made corresponding changes to the documentation.
• 🧪 I have included tests (if necessary) for this change.