Frontiers

Explainable PSO-optimised machine learning models for multi-pollutant air quality forecasting in major African cities with transfer learning

The model points are clustered together, implying that the PSO-XGBoost works well in different cities and has a good level of generalisation accuracy. Moreover, the ECDF plots provide evidence for ...
Frontiers

Development and validation of an interpretable machine learning model for predicting 5-year recurrence in breast cancer

(A) A clinical nomogram derived from the XGBoost model. Points for each variable are summed to calculate a total score, which corresponds to the 5 year recurrence risk probability. (B) Calibration ...