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Table 4 Model prediction accuracies based on cross-validation of the training set. RF-10: Random forest with 10 random decision trees, RF-20: Random forest with 20 random decision trees, SVM: default support vector machine, SVM-N: SVM with normalized features, MLP: default Multilayer perceptron, MLP-C: Multilayer perceptron with complex nodal architecture (described in methods)

From: Massive metagenomic data analysis using abundance-based machine learning

Model Accuracy
RF-10 87.9
RF-20 89.7
SVM 43.1
SVM-N 32.8
MLP 63.7
MLP-C 55.2