EXL Interview Questions| Gender
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Answer ( 1 )
The Problem will be Overfitting.
We might learn too much into some particular patterns within the small sample set so we may lose generalization abilities on other datasets.
It Would say it is a classical example of underfitting as we have very less data to learn. So your model will be unable to understand the problem. As we are unable to find patter so while training as well while testing it wont give good result so Underfitting.
With small dataset, we have to run many iterations as part of training that can result in overfitting. Hence, the model will perform poorly on testing data as it will lack generalization.