Why Correlation-Based Machine Learning Leads to Bad Predictions

Machine learning is great at perfectly learning the past, however it can fail when dealing with messy, real-world data. Spurious correlations are an important source of fragility in real-world machine learning applications. Causal AI promises to fix this problem.

Download our White Paper

In this paper, we demonstrate how machine learning approaches fail due to spurious correlations when dealing with real-world problems by examining a simple use case.