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Batch predictions look reasonable.Real-time predictions don’t.Same model, same features—supposedly. Yet results differ?
Traffic is stable.Model architecture hasn’t changed.Yet costs keep rising month over month.It’s hard to explain.
My CNN reaches over 95% accuracy on the training set.But on the test set it drops below 40%.The data comes from the same source.I feel the model is memorizing instead of learning.
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