This post introduces Symbolic Quantile Regression (SQR), a new framework for bridging high-performance numerical prediction and interpretability in predictions. The author discusses its advantages, providing concise mathematical expressions for quantiles and demonstrating its superior performance across 122 datasets compared to traditional models.