If the difference between the performance of your classifier on train and test sets is small , and both performances are low (not good), what may be happening?

Question

If the  difference  between the performance of your classifier on  train  and  test sets  is  small , and both performances are  low  (not good),  what may be happening?

Answer

The  train  set is  not representative  of the  test  set.

Answer

The classifier may have  under-fitted .

Answer

The classifier is  not powerful enough  (capacity too low).

Answer

The classifier may have  over-fitted .

Answer

None of the options above.

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If the difference between the performance of your classifier on train and t...

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