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Table 2 Average performance of each model across folds for each threshold metric on the test set

From: Plankton classification with high-throughput submersible holographic microscopy and transfer learning

   Threshold metrics (%)
  Model Accuracy Precision Recall F1-Score
Feature extraction VGG16 88.2 ± 1.2 88.4 ± 1.5 88.1 ± 0.9 87.8 ± 1.0
InceptionV3 82.2 ± 1.8 83.7 ± 2.4 81.1 ± 2.2 81.7 ± 1.4
ResNet50V2 88.2 ± 1.1 88.6 ± 1.3 88.1 ± 07 87.9 ± 0.9
  Xception 90.1 ± 1.6 89.8 ± 0.9 90.7 ± 0.4 89.8 ± 0.7