How can I detect overfitting in my machine learning model?
You can detect overfitting by comparing the performance of your model on training and validation datasets.
What are some common signs of overfitting?
Common signs include a high accuracy on the training set but significantly lower accuracy on the validation set.
Are there any techniques to prevent overfitting?
Yes, techniques like cross-validation, regularization, and pruning can help prevent overfitting.
How can I visualize overfitting?
You can visualize overfitting by plotting the training and validation loss curves; they should ideally converge.
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