SAS DLPy's EarlyStopping object monitors validation loss with patience=5. A training run progresses through 25 epochs. What does patience=5 specifically mean?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — c is correct because patience=5 in early stopping means the trainer waits 5 consecutive epochs without validation loss improvement before stopping training. If validation loss improves at any of those 5 epochs, the patience counter resets.
Full explanation below image
Full Explanation
C is correct because patience=5 in early stopping means the trainer waits 5 consecutive epochs without validation loss improvement before stopping training. If validation loss improves at any of those 5 epochs, the patience counter resets. The best model state (lowest validation loss) is typically restored at stopping. A is wrong; patience defines the wait window, not a minimum training window. B is wrong; early stopping waits 5 consecutive non-improving epochs, not just one. D describes learning rate scheduling (ReduceLROnPlateau), not early stopping.