Predictive Algorithm

Predictive algorithms aim to forecast future outcomes based on historical data, with applications spanning diverse fields like education, healthcare, and finance. Current research emphasizes improving algorithm accuracy and efficiency, exploring techniques like ensemble methods (e.g., Super Learner), and addressing biases that can lead to unfair or inaccurate predictions, particularly across different demographic groups. This work is crucial for ensuring responsible and equitable use of algorithms in high-stakes decision-making, improving the reliability of predictions, and mitigating potential harms.