Supplementary file 1_A study on a real-world data-based VTE risk prediction model for lymphoma patients.docx by Changli He (22424818)

“…</p>Results<p>Combining different imputation, sampling, and feature selection strategies yielded 27 datasets, which were trained across nine algorithms to generate 243 models. The optimal model—Simp-SMOTE_rf_GBM, constructed using random forest imputation, SMOTE oversampling, and gradient boosting machine—achieved the highest predictive performance (AUC = 0.954). …”

The Geography of Oxia Planum 03 CTX DEM Mosaic by Peter Fawdon (10016036)

“…These data are provided in an equirectangular projection centered at 335.45°E</div><div><p><b><br></b></p><p><b>Guide to individual files</b></p><p><b><br></b></p></div><div><u>03_a_CTX_DEM_contours</u></div><div>Naming convention: CTX_OXIA_DEM = data from which the contours where created, _cont = contour data, _m = vertical separation of the contours (25 or 100.)…”