Extra Trees Trend 2026

Extra Trees, or Extremely Randomized Trees, builds predictive models by randomizing both feature selection and split thresholds. This ensemble method reduces variance and overfitting, making it faster and often more accurate than standard random forests. Data scientists leverage it for classification and regression on high-dimensional datasets, particularly in finance and bioinformatics, where its robustness handles noisy data efficiently.