Gradient Boost (Regression)
Steps:
- Get initial guess by taking the average of the dataset
- Get $residual_output = ground_truth - guess$
- Build a tree to fit the $residual_output$
- Now the prediction will be $prediction = lr * new_tree_prediction$
- Go to step 2 unless predetermined limit is reached
- $LR$ is learning rate and an hyperparameter.