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DATA SCIENCE PYTHON PLAYGROUND

Machine Learning · Learn / Refresh

← Choose a deckQUESTIONS · MODELS · EVIDENCE
DECK 7

Choose and Explain Models

Bring all families together in an evidence-based model-choice capstone.

01 / Frame and shortlist

M01Core · teaching
Choose the task before the family: Predict number, Predict class, Discover patternPredict numberPredict classDiscover pattern

Choose the task before the family

Build a complete model-choice mental model.

18–25 min · 4 practices

02 / Compare fairly

M02Core · teaching
Compare candidates on common evidence: Candidate A, Candidate B, Use common foldsCandidate ACandidate BUse common folds

Compare candidates on common evidence

Use matching evaluation designs and practical constraints.

12–18 min · 3 practices

03 / Communicate evidence

M03Core · teaching
Explain a result responsibly: Observed score, Error meaning, State limitsObserved scoreError meaningState limits

Explain a result responsibly

Connect claims with evidence and limitations.

12–18 min · 3 practices
M-R1Core · review
Model-choice retrieval: Pick the task, Match metric, Explain claimPick the taskMatch metricExplain claim

Model-choice retrieval

Retrieve earlier concepts before combining them.

15–20 min · 3 practices
M04Go Further · teaching
What changes outside this dataset?: Original setting, New setting, Check transferOriginal settingNew settingCheck transferNOW

What changes outside this dataset?

Identify evidence needed for a changed use context.

12–18 min · 3 practices
M-K1Core · checkpoint
Choose and Explain Models checkpoint: Frame task, Choose evidence, Qualify resultFrame taskChooseevidenceQualifyresult

Choose and Explain Models checkpoint

Audit task-family choice and evidence across the complete curriculum.

25–35 min · 1 practices