An objective function in regression machine learning represents the goal the algorithm aims to minimize during its training process. The optimization of an objective function in XGBoost is the ...

Mangroves are one of the important blue carbon ecosystems that provide numerous benefits for humans and the surrounding environment. The mapping and monitoring of mangrove forests are important ...

Differences in the variables selected by each algorithm were noted, with XGBoost selecting female sex and daily intake of fast food as significant predictors. The high risk of anxiety among female ...

Abstract: In this paper, we study the problem of quality control of ore processing, using xgboost machine learning algorithm of sklearn module in python, sample interpolation method, 011 minimization ...

The XGBoost algorithm reflected a good learning curve in the training dataset (Figure 4B). The two curves representing the training and test cohorts converged to 0.85, indicating that the XGBoost ...

In this project I used basic classification algorithms including random forest, xgboost and decision tree to reach the best solution, finding out how many survived in the titanic accident. I use ...