Interpretable models for extrapolation in scientific machine learning
Digital Discovery2023Vol. 2(5), pp. 1425–1435
Citations Over TimeTop 10% of 2023 papers
Abstract
On average, simple linear models perform equivalently to black box machine learning models on extrapolation tasks.
Related Papers
- → Physician-Friendly Machine Learning: A Case Study with Cardiovascular Disease Risk Prediction(2019)71 cited
- → Application of Machine Learning in Animal Disease Analysis and Prediction(2020)26 cited
- → Sentiment Analysis by Using Supervised Machine Learning and Deep Learning Approaches(2020)3 cited
- → Breakdown of Machine Learning Algorithms(2022)1 cited
- → Machine Learning Techniques for the Management of Diseases: A Paper Review(2024)