What factors affect the accuracy of AI models?
The accuracy of AI models can be influenced by data quality, model complexity, training duration, and feature selection.
Can you explain how data quality impacts accuracy?
Sure! High-quality data ensures that the model learns from accurate and relevant examples, reducing errors.
What role does model complexity play?
Model complexity can lead to overfitting if too complex, or underfitting if too simple, both affecting accuracy.
How can I improve the accuracy of my AI model?
You can improve accuracy by using more diverse and high-quality data, optimizing hyperparameters, and selecting relevant features.
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