mwgupta Goto Github PK
Name: Meili Gupta
Type: User
Bio: Cornell '25, MEng in Computer Science Yale '24, BS in Computer Science
Name: Meili Gupta
Type: User
Bio: Cornell '25, MEng in Computer Science Yale '24, BS in Computer Science
CPSC 327 Pset 6 with Meili and Anjali Gupta
Data and analysis for 'Machine Bias'
Extension of GreaseLM
The project investigates multiple hypotheses on using proxy-pivots in bias fixing machine learning methods. This method principally involves generating a fake “protected” class using the K-Means algorithm on the non-protected data to use as training data. This avoids using protected class data as input. The authors tested various variables and features, such as: the number of classes generated for the proxy-pivot, hyperparameters, and the weight feature lambda. We also tested training on multiple versus single proxy pivots and on different protected class features.
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