Why Correlation-Based Machine Learning Leads to Bad Predictions

Machine learning is great at perfectly learning the past however, these machine learning approaches can fail when dealing with messy, real-world data. They often perform remarkably poorly on time-series data types, which are ubiquitous in finance and business.

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