Concept: Random forest
Pre-course aptitude tests predicted introductory programming performance
Predicting which introductory programming students need early support
Geospatial foundation models improved tree species mapping accuracy
Pretrained satellite models identify tree species with less training data
Support Vector Machine and Random Forest led software fault prediction
Recent advances in predicting software bugs to improve quality and reliability
Explainable models predicted dynamic responses of LPBF A286 lattices
Predicting impact resistance of 3D-printed steel lattices using interpretable AI
