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Cheat sheets: which one, and what it hides
Each sheet answers one question for one area of the site: the family side by side, the pairs people confuse, one real run where they disagree. Every name opens its full, sourced page.
Evaluation 3 sheets
Classification metrics
Which metric, and what does it hide?
Regression metrics and losses
Which error, in which units?
Validation and generalisation
Which split, and what leaks?
Models & data 3 sheets
Linear models
Which penalty, or none?
Missing data and outliers
Gaps and odd values, drop or fill?
Tree ensembles
Bag or boost?
Statistics & maths 1 sheet
Statistical testing
What does p say, and how many tests?
Deep learning 4 sheets
Activation functions
Which activation, and where?
NLP tasks
Which NLP task, and scored how?
Optimizers
Which optimiser, which learning rate?
Vision tasks
Which vision task, and scored how?