Interpretable Models
Interpretable Models groups the core ideas a learner needs at the 10 · interpretation & explainability stage. Work through the lessons in order when new to the area, or use them independently as a reference when implementing an analysis.
Learn the mechanism one decision at a time
Work through the lessons in order if the topic is new. If you already know the basics, open the specific leaf lesson that matches the operation, diagnostic or failure mode you need.
1Definition→
2Mechanism→
3Example→
4Diagnostic→
5Decision
Linear coefficientsLinear coefficients represents a family or practice in model building. The central idea is to define what structure can be learned, how model quality is measured during fitting, and how generalisation is tested on observations not used to choose the model.
02Odds ratiosOdds ratios is a practical concept within Interpretable Models. It helps turn the broader workflow stage “10 · Interpretation & Explainability” into an explicit analytical decision that can be explained, implemented and checked. The concept should be understood in terms of purpose, mechanism, assumptions, evidence and downstream consequences.
03Tree rulesTree rules represents a family or practice in model building. The central idea is to define what structure can be learned, how model quality is measured during fitting, and how generalisation is tested on observations not used to choose the model.
04Monotonic relationshipsMonotonic relationships is a practical concept within Interpretable Models. It helps turn the broader workflow stage “10 · Interpretation & Explainability” into an explicit analytical decision that can be explained, implemented and checked. The concept should be understood in terms of purpose, mechanism, assumptions, evidence and downstream consequences.
05Global vs local explanationsGlobal vs local explanations is a practical concept within Interpretable Models. It helps turn the broader workflow stage “10 · Interpretation & Explainability” into an explicit analytical decision that can be explained, implemented and checked. The concept should be understood in terms of purpose, mechanism, assumptions, evidence and downstream consequences.