Machine learning identification of Pseudomonas aeruginosa strains from colony image data
Fig 5
Performance comparison of transfer learning methods.
The performance of four trained transfer learning models (ResNet-50, VGG-19, MobileNetV2 and Xception, see methods) were evaluated on both validation (blue circles) and test (orange triangles) datasets. Each computational experiment was replicated five-fold (five separate training runs for each model), allowing statistical comparison of approaches. (A) Accuracy scores (the number of correct predictions divided by the total number of predictions x100). (B) Loss scores (a summation of the errors made for each sample). Statistical comparisons are summarized in S1 Table.