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Machine Learning · Learn / Refresh

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TEACHING COLLECTION

One-R classification

Learn a one-feature rule with categorical or numeric inputs and inspect what it ignores.

Helpful prior knowledge: Macro F1 and imbalance · Keep preparation with the estimator. These links are guidance, not locks.

Follow teaches the idea; Change asks you to make a choice; Transfer changes the context. Apply, reviews and checkpoints appear where the existing lessons provide them. Go Further lessons are optional.

Lessons in this model deck

Start with the first core lesson →

C12Core · teaching
One feature, one rule: One feature, Majority rule, Default classOne featureMajority ruleDefault class

One feature, one rule

Understand the production One-R rule and fallback.

25–40 min · 4 practices
C13Core · teaching
One-R with numeric inputs: Numeric cut, Binned values, One-R ruleNumeric cutBinned valuesOne-R rule

One-R with numeric inputs

Keep numeric bin learning inside each fit.

12–18 min · 3 practices

Browse all Classification lessons, reviews and checkpoints →

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