Dennis Collaris
Visualization cluster
Interactive Visualization for
Interpretable Machine Learning
Prediction
Black box
model
Domain expert
But why?
Data
Machine learning
75% risk!
Machine learning
75% risk!
Black box
model
Domain expert
Explanation
Aha!
But why?
Data
Explainer
Machine learning
Data scientist
Local
Global
Machine learning explanations
- Which features played a role in the decision?
- Why did the model make this classification?
- What can I do to affect the prediction?
- What features does the
model use in general?
- Does the model treat
everyone fairly?
- Does it discriminate
against groups?
Black box
model
Data
Black box
model
Data
Data
Single
prediction
Entire
model
Local
Global
Black box
model
Data
Black box
model
Data
Data
Single
prediction
Entire
model
Machine learning explanations
- Which features played a role in the decision?
- Why did the model make this classification?
- What can I do to affect the prediction?
- What features does the
model use in general?
- Does the model treat
everyone fairly?
- Does it discriminate
against groups?
ExplainExplore (diabetes data)
Interactive visual explanation
Local
Global
Contribution-Value Plots
Local
Global
ExplainExplore
Interactive visual explanation
StrategyAtlas
Local
Global
ExplainExplore
CV Plots
Interactive visual explanation
StrategyAtlas
Local
Global
ExplainExplore
CV Plots
Interactive visual explanation
+ Software engineering
+ Algorithms
Local
Global
ExplainExplore
CV Plots
StrategyAtlas
+ Psychology
Interactive visual explanation
Overview
More info at
explaining.ml
Local
Global
+ Software engineering
+ Psychology
+ Algorithms
ExplainExplore
CV Plots
StrategyAtlas
Reception at:
ESV Demos
Keizersgracht 17
5611 GC Eindhoven
🎉
PhD defense
By iamdecode
