Fig. 4From: Predicting EGFR mutation, ALK rearrangement, and uncommon EGFR mutation in NSCLC patients by driverless artificial intelligence: a cohort studyThe importance of differential clinical parameters in different computational algorithm models. 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. A Variable importance for EGFR prediction. B Variable importance for ALK predictionBack to article page