What are the differences between linear and non-linear models?
Linear models assume a straight-line relationship between input and output, while non-linear models can capture more complex patterns.
Can you give me examples of each type of model?
Sure! A linear model example is linear regression, while a non-linear model example is a decision tree or neural network.
When should I use a non-linear model instead of a linear one?
Use non-linear models when the relationship between variables is complex and cannot be accurately represented by a straight line.
Are non-linear models always better than linear models?
Not necessarily. Non-linear models can overfit the data if not managed properly, so it's important to evaluate performance on validation data.
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