Question: Student A trained a classifier on a training dataset consisting of 1 0 , 0 0 0 features and tested the classifier on a separate

Student A trained a classifier on a training dataset consisting of 10,000 features and
tested the classifier on a separate testing dataset. Student A found that the training
error was low but the testing error was high. What would be the possible reasons to
explain this problem?

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