What is the difference between under fitting and over fitting. How to overcome under fitting?

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Accepted Answer

Underfitting occurs when a model is too simple to capture the complexity of the data. Overfitting occurs when a model is too complex and fits the noise in the data.

Underfitting occurs when the model is not able to capture the underlying trend of the data.
Overfitting occurs when the model is too complex and fits the noise in the data.
To overcome underfitting, we can increase the complexity of the model by adding more features or increasing the degree of polynomial regression.
We can also try reducing the regularization parameter or increasing the number of iterations in the algorithm.
Cross-validation can also help in identifying and overcoming underfitting.

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What is the difference between under fitting and over fitting. How to overcome under fitting?

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