Fig. 6

Stacked Ensemble model to distinguish ERFR mutant status and ALK rearrangement concurrently and corresponding variable importance. A–C The overall accuracy in the training cohort, the testing cohort and total patients. D The importance of differential clinical parameters in Stacked Ensemble model to distinguish EGFR mutant status and ALK rearrangement concurrently. The AutoML randomly generated twenty algorithms based on deep learning model and five machine learning model, and the twenty models were interpreted using feature importance plots through the matplotlib package built in the software