Given a dataset that contains 100 instances, in which each instance has 50 attributes (features) and a binary outcome event, describe what the potential problem is when you are asked to build a classification machine learning model based on this dataset.

Given a dataset that contains 100 instances, in which each instance has 50 attributes (features) and a binary outcome event, describe what the potential problem is when you are asked to build a classification machine learning model based on this dataset.

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Given a dataset that contains 100 instances, in which each instance has 50 attributes
(features) and a binary outcome event, describe what the potential problem is when you
are asked to build a classification machine learning model based on this dataset. Describe
how this problem can be addressed.

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