Classification evidence
Read confusion, precision, recall and macro F1 before interpreting labels or probabilities.
Helpful prior knowledge: Readiness · unfamiliar classification. 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 →
Read a confusion matrix
Track which labels are confused.
12–18 min · 3 practicesPrecision and recall
Connect different errors to different questions.
12–18 min · 3 practicesMacro F1 and imbalance
Evaluate every class explicitly.
12–18 min · 3 practicesLabels and probabilities
Align probability columns with class labels.
12–18 min · 3 practicesChoose your next model deck
Logistic classification · Nearest-neighbour classification · Support vector classification · One-R classification · Classification trees · Naive Bayes and input variants · LDA and QDA · Classification reviews and checkpoint
Browse all Classification lessons, reviews and checkpoints →