Fig. 3: Comparison of the test accuracy distributions obtained with the four evaluated classifiers. | npj Biomedical Innovations

Fig. 3: Comparison of the test accuracy distributions obtained with the four evaluated classifiers.

From: A robust and interpretable deep transfer learning framework on knee acoustic emissions for osteoarthritis classification

Fig. 3

The mean (μ) and standard deviation (σ) of the accuracies are reported above every box. ResNet with transfer learning (ResNet-TL) delivers the best performance (μ = 88.9%), followed by a ResNet trained from scratch (μ = 87.5%), the Z-Score baseline (μ = 83.7%), and the Random-Forest baseline (μ = 77.6%), which also shows the largest variance.

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