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

Fig 5

Best results by SVM on WT and WP datasets.

Grid searches are performed on both linear and RBF kernels. The results from WP dataset are much better than those from the WT dataset. The result indicated that the size of the dataset is an important factor affecting the predictive power of machine learning models.

Fig 5

doi: https://doi.org/10.1371/journal.pcbi.1004838.g005