Tag: CatBoost

An explainable machine learning study of PISA 2022 data finds that digital learning capacity, mathematics anxiety, and their interaction best ...

A new comparative study finds that ensemble classifiers outperform deep learning models for smart contract vulnerability detection, while uncertainty-based active ...

Machine learning models trained on a year of field data in China's Wuling Mountains reveal that deep soil temperature-moisture coupling, ...

Researchers have built an explainable stacked ensemble of boosting algorithms that predicts Bitcoin's short-term closing prices with 97.5 percent explained ...

A leakage-aware benchmark of seven models across three educational datasets found that Gradient Boosting outperformed attention-based neural networks, which showed ...

Researchers have built a phylogeny-agnostic machine-learning framework that predicts strain-level phage–host interactions from genome sequences alone and validated it experimentally ...

Machine learning models trained on history, bedside examination and vestibular tests can distinguish posterior circulation stroke from acute unilateral vestibulopathy ...

Researchers at Henan University used machine learning models, led by CatBoost, to predict and validate cadmium adsorption on biochar with ...

A new study in Ionics uses 72 real BMW i3 driving trips and a Horned Lizard Optimization-tuned CatBoost model to ...

A closure-aware machine-learning framework can bidirectionally predict biomass fuel properties from incomplete characterization data, outperforming classic empirical correlations while flagging ...