Reassess how the effect encoding section uses missing agent data
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Chapt: Missing Data
Chapt: Working with Categorical Predictors
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- HTML
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Description
Hmm. My chapter on categorical predictors encodes these as unknown. Maybe they should be actually missing values so that effect encodings work without estimating their level.
Originally posted by @topepo in https://github.com/aml4td/website/pull/47#discussion_r1721051438
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Research direction
Start with the categorical predictors chapter and the discussion in PR #47 linked in the issue; compare how missing agent data is currently described with the intended effect-encoding behavior. Done means the section clearly distinguishes unknown from missing values and explains the resulting encoding choice.
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Assessment
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100