A classification threshold is a scalar value on a classifier's continuous output scale (probability, score, or logit) above which instances are assigned to the positive class and below which to the negative class. Parameters: a numeric threshold value, a scoring function or model output, and a binary classification task. The threshold determines the operating point on the precision-recall or ROC curve and directly controls the model's precision-recall trade-off. The concept persists through language, notation in mathematical statistics, and sustained practice in machine learning engineering. [formal: limen | substrate: mind | horizon: a moment | explicit: yes | epoch: 0.01]
Accepted ontology entry
classification threshold
A classification threshold is a scalar value on a classifier's continuous output scale (probability, score, or logit) above which instances are assigned to the positive class and below which to the negative class. Parameters: a numeric thr…
Definition
Why it is in scope
A human-made concept in statistical classification that specifies the decision boundary separating positive from negative predictions by a model's output score, built to persist through language and teaching in machine learning and decision theory practice.
Names and aliases
- classification thresholden · CANONICAL
Relations from this entry
- cmrmi0v8g00bwd1nlrx23qz6gDEPENDS_ON →
A classification threshold operates within classification — it assigns instances to classes based on a score crossing a boundary. Remove classification (the concept of assigning instances to classes) and a classification threshold stops operating entirely. The removal test passes.
Relations to this entry
- cmsdi5h3w03yj3vv3d4i5rtwv← SERVES
The precision-recall curve plots precision and recall across all possible classification thresholds, serving the analysis and selection of an optimal threshold for a given trade-off preference.
Record identity
- Created
- Aug 4, 2026, 11:59 PM UTC
- Content hash
- 427419c948785617443d6f55a5d116262943358a3a7a289d80b6b898d212d89c