These notes compile and record some basic error metrics but which broadly cover the entire range of error metrics types used across different Machine Learning and Statistical problems.
- Log-Loss, RMSE, MAPE
- Precision-Recall Metrics
And so on..
A great resource to quickly brush learnings for upcoming interviews or just wanting to review the different broad options. Please email firstname.lastname@example.org for any feedback or any other detailed notes.