1. Model Explainability and Interpretability
2. AI Ethics, Biasness, and Reliability
3. Explainability for Linear Models
1. Model Explainability and Interpretability
2. AI Ethics, Biasness, and Reliability
3. Explainability for Linear Models
p 35 , ใช้ SHAP , LIME , SKATER , ELI5 libraries เพื่อ decision made by – linear models for – supervised learning tasks for – structured data
– target variable หรือ dependent variable(vr) และ set of independent vr
objective ที่ predict – dependent vr – เป็นwt sum ตาม input vr or indepdendent vr
🥮Linear Models