Pairwise comparisons using DeLong’s test revealed that the XGBoost model’s AUC was significantly higher than that of logistic regression (p = 0.012) and SVM (p = 0.043), while the difference between XGBoost and Random Forest approached but did not reach statistical significance (p = 0.062).
← all excerpts
Development and validation of a multifactorial risk prediction model for breast cancer patients with co-occurring thyroid cancer: a retrospective matched case-control study.
1
0.0620
0.0620