Fig. 5
From: SMILE: systems metabolomics using interpretable learning and evolution
![Fig. 5](http://media.springernature.com/full/springer-static/image/art%3A10.1186%2Fs12859-021-04209-1/MediaObjects/12859_2021_4209_Fig5_HTML.png)
Individual feature importance ranking. A The overall feature importance ranking using 1000 evolved models. B A feature occurrence graph generated on SMILE’s web interface using 176 filtered models with a higher than 80% testing accuracy and using two effective features. The x-axis shows feature index and y-axis shows feature occurrence frequency. The corresponding feature name will be shown with mouse hover