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Rapid Prediction of Bacterial Heterotrophic Fluxomics Using Machine Learning and Constraint Programming

Fig 4

A comparison of three ML algorithms: SVM, k-NN, and decision tree.

The best cross-validation results on 29 fluxes are compared. All tests in this step were performed on the WT dataset only.

Fig 4

doi: https://doi.org/10.1371/journal.pcbi.1004838.g004