How Random Forests Improve Machine Learning Predictions

Imagine a digital forest where each tree offers its own opinion. In this forest, random forest algorithms act like a council, combining the wisdom of many decision trees to boost predictive power. Random forests increase accuracy in machine learning by averaging predictions, which reduces overfitting and improves model reliability. Studies show that in …