![]() With this modeling algorithm comes several hyperparameters. The resulting ensemble model that averages together the predictions from the decision trees often outperforms (in terms of prediction accuracy) other machine learning algorithms, making gradient boosting extremely popular. The residuals are calculated in terms of the derivative of a loss function. A tree in the sequence is fit to the residuals of the predictions from the earlier trees in the sequence. ![]() The Gradient Boosting node is on the Model tab of the SAS Enterprise Miner Toolbar for training a gradient boosting model, a model created by a sequence of decision trees that together form a single predictive model.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |