Human-Centric-Machine-Learning/improve-expert-predictions-conformal-prediction
Code for "Improving Expert Predictions with Conformal Prediction" , ICML 2023
This project helps scientists, medical professionals, or analysts who rely on expert judgments combined with machine learning models to make better-informed decisions. It takes initial predictions from an expert and data from a machine learning model, then combines them to provide more reliable, calibrated predictions, often expressed with a confidence level or prediction range. This is for professionals who need to quantify uncertainty and improve the accuracy of human-AI collaboration.
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Use this if you need to systematically improve the reliability of decisions made by combining human expertise with machine learning predictions, especially when you need to understand the confidence level of those combined judgments.
Not ideal if you are looking for a standalone machine learning model or if your primary goal is to evaluate the raw performance of an expert or a model in isolation, rather than their collaborative improvement.
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Aug 20, 2024
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