
Custom Correlation Metrics: When Pearson and Spearman Fall Short
In data science, correlation is one of the most fundamental techniques used to measure the strength and direction of relationships between variables. Traditionally, analysts rely on Pearson’s correlation coefficient and Spearman’s rank correlation to quantify linear and monotonic relationships. However, in modern business analytics and AI-driven predictive models, real-world datasets often demonstrate patterns that these…