Question: You trained a binary classifier model which gives a very high accuracy on the teaining data but a much lower accuracy on the validation data,
You trained a binary classifier model which gives a very high accuracy on the teaining data but a much lower accuracy on the validation data, this outcome could possibly be explained by:
this could be an instance of overfitting
the training may not have been well regularized
this could be an instance of underfitting
the training and validation examples may have been sampled from different data distributions
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