avoid overfitting and underfitting

Innocent Iguana answered on January 29, 2023 Popularity 3/10 Helpfulness 1/10

answer avoid overfitting and underfitting

avoid overfitting and underfitting

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Best approach:
1) Train different models with different parameters
2) determine an evaluation metric (example: MSE)
3) for different model, draw graph (scatterplot / line plot)
	- model on X-axis
    - MSE value on Y-axis
4) the model with the lowest MSE is the best model

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Contributed on Jan 29 2023

Innocent Iguana

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avoid overfitting and underfitting

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