Model-specific explanations

Explainable Artificial Intelligence (XAI) Concepts

Folkert Stijnman

ML Engineer

Model-specific explanations

• Regression
  • Determines the relationship between two variables
  • Example: the relationship between temperature and ice cream sales
• Classification
  • Aims to predict the label of a given input
  • Example: if it's red, it is a strawberry

Regression: understanding linear relationships

• Predict amount of ice cream based on the temperature
• Understanding relationships
• Making predictions

Classification: sorting data into categories

• Sorting data into categories
• Based on their attributes

Black box models: multitude of intricate patterns

• Large amounts of data
• Complex methods
• XAI techniques to mitigate complex decision making

Let's practice!

Explainable Artificial Intelligence (XAI) Concepts