GitHub - hannamocha/Cognitive-Bias-Recognition-of-Trained-Neural-Networks: A study on recognizing cognitive Bias in trained neural networks using Northpointe’s recidivism data

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A study on recognizing cognitive Bias in trained neural networks using Northpointe’s recidivism data

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Biased Network-Copy1.ipynb		Biased Network-Copy1.ipynb
Hanna Fields Thesis.pdf		Hanna Fields Thesis.pdf
Proxy Variable - Age and Recidivism Comparison.ipynb		Proxy Variable - Age and Recidivism Comparison.ipynb
Proxy Variable - Race and Gender Comparison.ipynb		Proxy Variable - Race and Gender Comparison.ipynb
Proxy Variable - Violence and Recidivism Comparison.ipynb		Proxy Variable - Violence and Recidivism Comparison.ipynb
Selection Bias - Recidivism Data - B v W - Final Version - Scores.ipynb		Selection Bias - Recidivism Data - B v W - Final Version - Scores.ipynb
Selection Bias - Recidivism Data - B v W - Final Version.ipynb		Selection Bias - Recidivism Data - B v W - Final Version.ipynb
Selection Bias - Recidivism Data Measuring Race Equality.ipynb		Selection Bias - Recidivism Data Measuring Race Equality.ipynb
Selection Bias - Two Input Example .ipynb		Selection Bias - Two Input Example .ipynb
test1.csv		test1.csv
test2.csv		test2.csv
train.csv		train.csv