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Removing low value data improves prediction
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Classroom Contents
What is Your Data Worth? Equitable Data Valuation in Machine Learning
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- 1 Intro
- 2 If data is fuel, then we need to measure its value
- 3 Data value in the context of ML
- 4 Ingredients of Data Value in ML
- 5 Leave One Out Method
- 6 Desirable properties
- 7 Data Shapley Value
- 8 Applications of Data Shapley
- 9 UK Biobank Lung Cancer prediction
- 10 Removing low value data improves prediction
- 11 Adding high value data improves prediction
- 12 Negative Shapley identifies mislabeled data
- 13 Domain adaptation: face recognition
- 14 Dermatology classification
- 15 Clinical notes NLP
- 16 Efficiently approximating data Shapley
- 17 New frontiers of data valuation
- 18 Discussion
