Fig. 5From: MLW-gcForest: a multi-weighted gcForest model towards the staging of lung adenocarcinoma based on multi-modal genetic dataNested cross-validation process, which includes an outer loop and an inner loop. The inner cross-validation loop is used to perform parameter adjustments, while the outer cross-validation loop is used to calculate the final error estimate for model performanceBack to article page