How can we improve the accuracy of AI models?

How can we improve the accuracy of AI models?

Improving AI model accuracy can involve several strategies, such as using more diverse training data, optimizing algorithms, and fine-tuning hyperparameters.

What role does data quality play in model accuracy?

Data quality is crucial; high-quality, relevant data leads to better training outcomes, while poor data can introduce biases and errors.

Can you explain hyperparameter tuning?

Hyperparameter tuning involves adjusting the parameters that govern the training process to find the best model performance.

Are there specific metrics to measure model accuracy?

Yes, common metrics include accuracy, precision, recall, F1 score, and AUC-ROC, depending on the problem type.