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

Fig 7

Summary of root mean squared error (RMSE) from 20 case studies: averaged flux from 13C-MFA dataset, ML-only, and MFlux (ML + quadratic programming).

The average RMSE is 7.7 from ML-only, and 5.6 from MFlux. Detailed information is in S1 and S2 Tables.

Fig 7

doi: https://doi.org/10.1371/journal.pcbi.1004838.g007