PROGRAM MODULE · EN / ES · AI3
Local baseline model
Compare a simple rule with a local classification model.
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.
AI3-1 · 4 h
Reproducible baseline
- Define and freeze a baseline rule before evaluation, recording correct predictions, errors and abstentions separately.
AI3-2 · 4 h
Scikit-learn classification
- Explain and run a local classifier fitted only on training data; distinguish vocabulary, learned parameters and predictions.
AI3-3 · 4 h
Train and test separation
- Split related groups before any fitting and detect leakage in data, transformations and evaluation decisions.
PREPARATION
Before you begin
Functional reading, basic arithmetic and file management. Complete an entry diagnostic.
This module follows Data and provenance. 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
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