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Fig. 2 | Journal of Biological Engineering

Fig. 2

From: Machine learning analysis of microbial flow cytometry data from nanoparticles, antibiotics and carbon sources perturbed anaerobic microbiomes

Fig. 2

Receiver Operating Characteristic (ROC) curves comparing Gradient Boosting (GB), Naïve Bayes (NB), Distributed Random Forests (DRF) and Deep Learning (DL) (feed forward artificial neural network with three hidden layers) models on classification of (a) Acetogens (ACETO) (b) Acidogens (ACIDO) (c) Hydrolyzers (HYDRO) (d) Methanogens (METHA)

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Journal of Biological Engineering

ISSN: 1754-1611