Figure 3
From: Predicting preterm birth using machine learning techniques in oral microbiome
Machine learning evaluations over DAT. (a) Machine learning evaluation upon number of features (DAT). Random Forest classifier has the best balanced accuracy (0.765 ± 0.071) with the 9 most important DAT. (b) Importance of DAT is shown. Note that 0 ≤ importance ≤ 1 and \(\sum {\text{importance}}=1\). The 20 most important DAT that give the best balanced accuracy is marked with blue. DAT, Differentially abundant taxa; ACC, Accuracy; BA, balanced accuracy; SEN, Sensitivity; SPE, Specificity; PRE, precision.
