PROGRAM MODULE · EN / ES · AI4
Result evaluation
Measure errors, bias and out-of-scope cases.
MODULE SYLLABUS
Lessons and objectives
Review the sequence before you start. Each link opens the corresponding lesson in the protected student guide; a verified account and active membership are required.
AI4-1 · 4 h
Metrics and errors
- Calculate metrics with explicit denominators and explain which errors matter in classification with abstention.
AI4-2 · 4 h
Adverse data tests
- Design adverse tests separating format errors, out-of-scope cases and embedded instructions, with expected outcomes set before execution.
AI4-3 · 4 h
Decision review
- Apply traceable human review that distinguishes an individual correction, a rule change and a system limitation.
PREPARATION
Before you begin
Functional reading, basic arithmetic and file management. Complete an entry diagnostic.
This module follows Local baseline model. Review the earlier material if you need to strengthen the foundations.
Read the explanations and examples before practicing. Keep your results and limitations in your own file: these pages do not automatically record attendance, progress or grades.
STUDENT MATERIALS
Continue to guided learning
This syllabus is public. Full explanations, exercises, downloads and simulators retain Academy access controls: an active verified account, active membership and the appropriate permissions. Cohort enrollment is not open.