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. 2024 Mar 4;7:211. doi: 10.1038/s42003-024-05871-w

Table 1.

Re-training computational times

Re-training time (s) Detection time (s)
XGBoost 36.5 0.8
SVM 14.9 4.9
LSTM 130.6 37.4
2D-CNN 29.8 12.9
1D-CNN 24.4 10.7

The first column shows how long the re-training lasted with each model for 5 epochs, using a training batch of 32 samples (in seconds). The second column shows how long the re-trained models took to process 1 h 55 min of session (in seconds).