3. Advantages and Disadvantages of Random Forest Algorithm 3. 随机森林算法的优缺点 Advantages of Random Forest Algorithm 随机森林算法的优点如下： Random forest algorithm can be used to solve both classification and regression problems. 随机森林算法既可以用于分类问题，也可以用于回归问题。 It is considered as very accurate and robust model because it uses large number of decision-trees to make predictions. 它被认为是一种非常准确且稳健的模型，因为它利用大量的决策树来进行预测。 Random forests takes the average of all the predictions made by the decision-trees, which cancels out the biases. So, it does not suffer from the overfitting problem. 随机森林对所有决策树的预测结果取平均，从而抵消偏差，因此不容易过拟合。 ...