9. Which of these statements is false about Gradient Boosted Trees: 1. They create a combination of weak learners to make a strong learner 2. They use errors from the last step as target to build next model 3. They use the concept of boosting 4. They use the exact predicted probabilities in classification when only one residual is present to identify the actual predicted value for that node