1.4.1Model Evaluation Metrics

Syllabus: Model Evaluation Metrics (Accuracy, Precision, Recall, F1-Score, etc.)
Category: Both

Not written yet

This module is on the syllabus, but nobody has written it yet. If you'd like to take it on, say so on Discord or start the file on GitHub.

What the syllabus expects
Part	1 Foundational Skills & Classical Machine Learning
Topic	Data Science Fundamentals
Subtopic	Model Evaluation Metrics (Accuracy, Precision, Recall, F1-Score, etc.)
Both	Certain topics require knowledge of both theoretical principles and practical application.