Overfiting and underfitting are applicable only to linear regression problems
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The main reason for the poor performance in machine learning is the over fitting and the under fitting.
When a model learns the details from the training data to a particular extent.Then this is known as the over fitting.
The under fitting on the other hand is a very poor process and the performance is generally poor.
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