Fig. 4

Classifier accuracy on testing datasets comparison of NoiseCut with various ML models for classifying binary data across the entire spectrum of noise intensities, with a consistent 70% training data size. NoiseCut outperforms the others as noise intensifies, demonstrating superior overfitting mitigation across varying levels of noise compared to the early stopping approach used by the other ML models