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Fig. 5 | BMC Bioinformatics

Fig. 5

From: Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions

Fig. 5

a. Comparison of ROC curves illustrating the classification performance of NoiseCut alongside other ML models on testing datasets. b. Comparison of computational time between NoiseCut and the other ML models across varying sample sizes. The evaluation is conducted with only 30% of the training data available and 5% noise intensity in the data labeling

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BMC Bioinformatics

ISSN: 1471-2105

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