Master Student Interview Questions and Answers

Random forests is an ensemble learning method used for classification and regression tasks.

• Random forests consist of multiple decision trees trained on different subsets of the data.

• Each tree in the forest makes a prediction, and the final prediction is the average (regression) or majority vote (classification) of all trees.

• Random forests are robust to overfitting and handle high-dimensional data well.

• They are widely used in various fields such as finance, healthcare, and mar...read more