With the rise of 3D printing and other advanced manufacturing methods, engineers can now build structures that were once ...

The XGBoost algorithm classifies network traffic flow that violates a set threshold into normal or abnormal traffic. We evaluated the performance of our scheme using CICDDoS2019, NSL-KDD, and CAIDA ...

Specifically, we replaced the original model with a gradient boosting regression method trained on a diverse dataset of hemodynamic and demographic profiles generated using the same 1-D arterial tree ...

4. Regulatory Compliance: These models can be validated and audited, making it easier to comply with industry regulations. 5. Profitability And Sustainability: Premium modeling allows insurers to ...

3. Leaf-Wise Tree Growth: Unlike traditional gradient boosting, which uses a level-wise approach, LightGBM employs a leaf-wise tree growth strategy. This method expands the leaf with the greatest ...

Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help ...

We show empirically that our method preserves the accuracy of gradient boosting while improving widely used group and individual fairness metrics. This work aims to train an ML model that is ...