Quantile regression forest consistently achieves the lowest pinball loss and effect of split criterion on QRF is minimal. This shows the advantage instability and generalization over single-tree ...

For each league, the application computes several statistics (features) about the teams, including their form, the performance of the last N matches, etc. The stats are computed for both the home team ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: This study proposes a multivariate dynamic cost standard prediction model based on random forest; LSTM is combined with XGBoost to solve the problem of accuracy in predicting complex cost ...

Abstract: Random Forest is a well-known type of ensemble learning, which combines a number of decision trees to improve the prediction ability and reduce the risk of overfitting. This paper aims at ...

The IUCN Forest and Grasslands Team invites all interested International Model Forest Network (IMFN) partners, stakeholders, and community members to submit their stories for inclusion on the PANORAMA ...

Introduction: In the temperate grasslands of the UK, forage quality is a key factor influencing both animal performance and environmental impact. Because forage quality strongly affects rumen ...

ABSTRACT: Quantify global carbon stock in tropical forests to climate change mitigation requires availability of data and tools such as allometric models. The study aimed to estimate aboveground ...