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 ...

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.

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% ...

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 ...