Tag: XGBoost

A new Machine Learning study shows that greedy decision tree algorithms can stall with zero purity gain, and introduces grid-based ...

Machine learning of structural MRI and mitochondrial haplogroups can moderately predict a maternal family history of Alzheimer's disease, with precuneus ...

Census-based analysis shows urban China has nearly completed its shift to clean cooking fuels while rural adoption, though rising sharply, ...

A new study along a landslide-ravaged stretch of National Highway 7 in Uttarakhand shows that Random Forest and XGBoost machine ...

Researchers trained XGBoost machine learning models on automated finite element simulations to predict how special threaded connections respond to combined ...

Researchers have built an interpretable machine-learning framework that predicts sovereign default as a multi-class event, identifying which creditors a government ...

A two-decade satellite and machine learning study shows Chennai's urban heat island intensity doubled as built-up area surged by more ...

Researchers built a two-stage hybrid machine learning framework combining K-Means clustering and XGBoost that predicts Istanbul's Air Quality Index with ...

A factorial ANOVA study across five Iranian basins shows that the most important machine learning modeling decision for precipitation prediction ...

A new cloud-native machine-learning framework called SIAVASH emulates global flood-hazard data to map design-event flood depth and screen infrastructure weak ...