Mathematical Problems in Engineering / 2019 / Article / Alg 3

Research Article

Towards Optimization of Boosting Models for Formation Lithology Identification

Algorithm 3

XGBoost algorithm, modified from [23].
(1)Given . The number of iterations: M
(3)For to M:(a)Compute , and (b)Fit base model , .(c)Determine the leaf weight for the learnt structure with and (d)Update current model with previous model and the constrained ,
(4)Calculate the final boosting model .

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19. Sign up here as a reviewer to help fast-track new submissions.