Random Forest

Random Forest is a machine learning method that uses many decision trees to make predictions. Each decision tree analyzes data by asking yes/no questions, like “Is the temperature above 70?” and so on. By combining the results of many trees, the Random Forest improves accuracy and reduces errors caused by individual trees. It's like consulting several experts and taking the most common answer. This approach is effective for tasks like predicting whether an email is spam or recognizing images, offering a balance between interpretability and performance.