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The intuition behind this is that even if the test image is not too easy to söker make a prediction, the transformations change it such that the model has higher chances of capturing the dog/cat shape roanoke and predicting sparobligationer accordingly.
To reduce this misclassification error, we now augment the train datum data and see if there is an improvement.
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