Machine Learning Meta-analysis of Large Metagenomic Datasets: Tools and Biological Insights
Fig 2
Cross-validation analysis for disease discrimination on six different datasets.
Species abundance was used as microbiome feature. (a) Prediction performance metrics for different diseases versus healthy controls. The margin of errors are reported in parenthesis. In bold we report the best value for each dataset. (b) Average ROC curves (over folds) with confidence intervals for random forests (RF) and support vector machines (SVM).