When a model has very high variance and is too complex, which problem is it likely facing?
- Bias
- Noise
- Overfitting
- Underfitting
When a model has high variance and complexity, it is likely facing overfitting. Overfit models perform well on training data but poorly on new, unseen data, as they've learned to capture noise in the data, not the underlying patterns.
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