The Optuna-optimized XGBoost model demonstrated excellent performance, achieving an R² of 0.72,an improvement of 0.12 over the baseline XGBoost model,with an RMSE of 24.48 Mg C/ha and an MAE of 18.56% ...

This project is targeting people who want to learn internals of ml algorithms or implement them from scratch. The code is much easier to follow than the optimized libraries and easier to play with.

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

BERT, XGBoost, and logistic regression models were developed on the training data set before evaluation on the hold-out test data set. The primary outcome was overall classification accuracy for the ...

Comparative evaluation of machine learning algorithms for integrated wetland modelling within a geospatial big data environment in Driefontein Grasslands of Zimbabwe Nobert Tafadzwa Mukomberanwa Ellen ...

建模动态远洋环境中的物种分布仍然具有挑战性，特别是对于分布范围广且高度移动的物种，且缺乏关于模型性能的明确指导。这一局限性制约了物种分布模型（Species Distribution Model，SDM）在海洋保护中的有效应用，而稳健且可迁移的预测对于保护规划 建模动态远洋环境中的物种分布仍然具有挑战性，特别是对于分布范围广且高度移动的物种，且缺乏关于模型性能的明确指导。这一局限性制约了物种分布模 ...