4 papers · 1 filter
News Sentiment as a Predictor for American Domestic Migration
Benjamin Lane, Simeon Sayer
This paper goes into depth on the effect that US News Sentiment from national newspapers has on US interstate migration trends. Through harnessing data from the New York Times betw…
Exploring Equality: An Investigation into Custom Loss Functions for Fairness Definitions
Gordon Lee, Simeon Sayer
This paper explores the complex tradeoffs between various fairness metrics such as equalized odds, disparate impact, and equal opportunity and predictive accuracy within COMPAS by…
Machine Learning for Public Good: Predicting Urban Crime Patterns to Enhance Community Safety
Sia Gupta, Simeon Sayer
In recent years, urban safety has become a paramount concern for city planners and law enforcement agencies. Accurate prediction of likely crime occurrences can significantly enhan…
From Bytes to Bites: Using Country Specific Machine Learning Models to Predict Famine
Salloni Kapoor, Simeon Sayer
Hunger crises are critical global issues affecting millions, particularly in low-income and developing countries. This research investigates how machine learning can be utilized to…