What is the difference between threshold and other parameters in AI models?

What is the difference between threshold and other parameters in AI models?

The threshold in AI models determines the cutoff point for classifying outputs, while other parameters can adjust model behavior.

Can you give an example of how changing the threshold affects model predictions?

Sure! Lowering the threshold may increase true positives but also raises false positives, affecting overall accuracy.

What are some common parameters that can be adjusted in AI models?

Common parameters include learning rate, batch size, and regularization techniques, each influencing model training.

How do I choose the right threshold for my model?

Choosing the right threshold often involves analyzing precision-recall trade-offs and using validation datasets.