Archived
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Start Date
10-17-2017 10:00 AM
Description
Explainable Model
- Black Box (opaque) predictors such as Deep learning and Matrix Factorization are accurate,
- ... but lack interpretability and ability to give explanations.
- White Box models such as rules and decision trees are interpretable (explainable),
- ... but lack accuracy.
Included in
Oct 17th, 10:00 AM
Using Explainability for Constrained Matrix Factorization
Explainable Model
- Black Box (opaque) predictors such as Deep learning and Matrix Factorization are accurate,
- ... but lack interpretability and ability to give explanations.
- White Box models such as rules and decision trees are interpretable (explainable),
- ... but lack accuracy.
