What is the impact of model complexity on AI performance?
Model complexity can significantly affect AI performance. More complex models can capture intricate patterns but may also lead to overfitting.
What do you mean by overfitting?
Overfitting occurs when a model learns the training data too well, including noise, which reduces its performance on new data.
How can I prevent overfitting in my models?
You can prevent overfitting by using techniques like cross-validation, regularization, and simplifying the model architecture.
Is there a trade-off between model complexity and interpretability?
Yes, generally, more complex models are harder to interpret. Simpler models are often more transparent but may not capture all data nuances.
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