What is underfitting, and how does it differ from overfitting?
- Enhancing model complexity; similar to overfitting
- Fitting the model too closely to the training data; same as overfitting
- Fitting the model too loosely to the training data; opposite of overfitting
- Reducing model complexity; similar to overfitting
Underfitting is when a model fits the training data too loosely and fails to capture the underlying pattern, the opposite of overfitting, where the model fits too closely.
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